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The Leading Source of Insights On Business Model Strategy & Tech Business Models

Business Strategy Examples In 2024: Examples, Case Studies, And Tools

A business strategy is a deliberate plan that helps a business to achieve a long-term vision and mission by drafting a business model to execute that business strategy. A business strategy, in most cases, doesn’t follow a linear path, and execution will help shape it along the way.

Table of Contents

What is a business strategy?

At this stage, it is important to clarify a few critical aspects.

As an HBR working paper entitled “From Strategy to Business Models and to Tactics” pointed out:

Put succinctly, business model refers to the logic of the firm, the way it operates and how it creates value for its stakeholders. Strategy refers to the choice of business model through which the firm will compete in the marketplace. Tactics refers to the residual choices open to a firm by virtue of the business model that it employs.

Personally, I have a controversial relationship with the concept of “strategy.” I feel it’s too easy to make it foggy and empty of practical meaning.

Yet strategy and vision matter in business.

A strategy isn’t just a calculated path, but often a philosophical choice about how the world works.

Usually, it takes years and, at times, also decades for a strategy to become viable. And once it does become viable, it seems obvious only in hindsight.

In this guide, we see what that means.  

In the real world, the difficult part is understanding the problem

In the real world, a lot of time and resources are spent on defining the problem.

Classic case studies at business school assume in most scenarios that the problem is known and the solution needs to be found.

In the real world, the problem is unknown, the situation is highly ambiguous, and the most difficult part is making the decision that might solve that same problem you’re trying to figure out. 

How do you execute a strategy in that context? Business modeling can help!

Is a business strategy the same thing as a business model?

As the business world started to change dramatically, again, by the early 2000s, also the concept of strategy changed with it. 

In the previous era, the strategy was primarily made of locking in the supply chain to guarantee a strong distribution toward the marketplace. 

And yet, the web enabled new companies to form with a bottom-up approach.

In short, product development cycles shortened, and frameworks like lean , agile , and continuous innovation became integrated into a world where software took over. 

Where most of the processes before the digital age, were physical in nature. As the web took off, most of the processes became digital.

In short, the software would become the core enhancer of hardware. 

We’ve seen how in cases like Apple’s iPhone , it wasn’t just the hardware that made the difference.

But it was the development ecosystem and the applications that enhanced the capabilities of the device. 

Thus, from a product standpoint, hardware has been enhanced more and more with the software side.

At the same time, the way companies developed products in the first place changed. 

Software and digits-based companies could gather feedback early on, thus enabling the customers’ feedback as a key element of the whole product development cycle. 

Therefore, wherein the previous era, companies spent billions of budgets to release markets, and products, with little customer feedback.

In the digital era, customer feedback became built into the product development loop. 

That led to frameworks with faster and faster product releases, which also changed the way we do marketing . 

In a classic MVP approach, the loop (build, measure, learn) has to be very quick, and it has to lead to the so-called product/market fit .

As the web made the ability to gather customers’ feedback early on, and as the whole process becomes less and less expensive, also lean approaches evolved, to gain feedback from customers as early as possible. 

From build > demo > sell, to demo > sell > build , lean approaches got leaner. 

And the era of customer-centrism and customer obsession developed:

This whole change flipped the strategy world upside down.

And from elaborate business plans , we moved to business modeling , as an experimental tool, that enabled entrepreneurs to gather feedback continuously.

In a customer-centered business world, business models have become effective thinking tools, to represent a business and a business strategy on a single page, which helped the whole execution process. 

The key building blocks of a classic business model approach, like a business model canvas or lean startup canvas  move around the concept of value proposition , that glue them together. 

And from the supply chain , we moved to customer value chains .

Where most digital business models  learned to gather customers’ feedback in multiple ways. 

The business strategy formed in the digital era, therefore, developed its own customer-centered view of the world, and the business theory world followed.

Academics, following practitioners, moved away from traditional models (like Porter’s Five Forces ) to more customer-centered approaches ( business model canvas , lean canvas).  

The mindset shift flipped from distribution and optimization on the supply side.

To optimize on the demand side, or how to build products that people want, in the first place. This is the new mantra.

No more grandiose business plans, just substantial testing, iteration, and experimentation. 

In this new context, we can understand the strategy developed by several players and how business modeling has become the most important strategy tool. 

And the interesting part is, whether you want to scale to become a tech giant, or you just want to build a small, viable business, it all starts from the same place!

Is business strategy a science?

Business strategy is more of an art than a science.

In short, a business strategy starts with a series of assumptions about how the business world looks in a certain period of time and for a certain target of people.

Whether those assumptions will turn out to be successful will highly depend on several factors.

For instance, back in the late 1990s when the web took over, new startups came up with the idea of revolutionizing many services.

While those ideas seemed to make sense, they turned out to be completely off, and many of those startups failed in what would be recognized as a dot-com bubble.

While in hindsight certain aspects of that bubble came up (like frauds, or schemes).

In general, some of the ideas for which startups got financed seemed to be visionary and turned out to work a decade later (see DoorDash , or Instacart , in relation to Webvan’s bankruptcy). 

For instance, some startups tried to bring on-demand streaming to the web (which today we call Netflix ). Those ideas proved to be too early.

They made sense but from the commercial standpoint, they didn’t.

Thus, if we were to use the scientific method, once those assumptions would have proved wrong in the real world, we would have discarded them.

However, those assumptions proved to be wrong, in that time period, given the current circumstances.

While we can use the scientific inquiry process in business strategy, it’s hard to say that it is a scientific discipline.

So what’s the use of business strategy?

In my opinion, business strategy is useful for three main reasons:

• Focus : chose one path over another.
• Vision : have a long-term strategic goal.
• Commercial viability : create a self-sustainable business.

As a practitioner, someone who tries to build successful businesses, I don’t need to be “scientific.”

I need to make sure not to be completely off track. For that matter, I aim at creating businesses.

Thus, I need to understand where to focus my attention in a relatively long period of time (3-5 years at least) and make sure that those ideas I pursue are able to generate profits, which – in my opinion – might be a valid indicator that those ideas are correct for the time being.

If those conditions are met, I’ll call it a “successful business.”

Those ideas will become a business model , that executes a business strategy.

This doesn’t mean those ideas, turned into a business model , pushed into the world will always be successful (profitable).

As the marketplace evolves I will need to adjust, and tweak a business model to fit with the new evolving scenarios, and I’ll need to be able to “bet” on new possible business models .

Survivorship bias

Survivorship bias is a phenomenon where what’s not visible (because extinct) isn’t taken into account when analyzing the past.

In short, we analyze the past based on what’s visible.

This error happens in any field, and in business, we might get fooled by that as well.

In short, when we analyze the past we do that in hindsight.

That makes us cherry-pick the things that survived and assume that those carry the successful characteristics we’re looking for.

For instance, for each Amazon or Google that survived there were hundreds if not thousands of companies that failed, with the same kind of “successful features” as Amazon or Google.  

So why do we analyze successful companies in the first place? In my opinion, there are several reasons: 

• Those successful companies have turned into Super Gatekeepers to billions of people : as I showed in the gatekeeping hypothesis , and in the surfer’s model , a go-to-market strategy for startups will need to be able to leverage existing digital pipelines to reach key customers.

• Modeling and experimentation : another key point is about modeling what’s working for other businesses and borrowing parts of those models, to see what works for our business. By borrowing parts you can build your own business model, yet that requires a lot of testing. 

• Skin in the game testing : therefore business models become key tools for experimentation, where we can use real customers’ feedback (not a survey, or opinions but actions) and test our hypotheses and assumptions. When we’re able to sell our products, when people keep getting back to our platform, or service, there is no best way to test our assumptions that measure those actions. 

Lindy effect and aging in reverse

Nicholas Nassim Taleb , in his book Antifragile , popularized a concept called Lindy Effect .

In very simple terms the Lindy Effect states that in technology (like any other field where the object of discussion is  non-perishable)  things age in reverse.

Thus, life expectancy, rather than diminishing with age, has a longer life expectancy.

Therefore, a technology that has lived for two thousand years, has a life expectancy of another thousand years.

That is a probabilistic rule of thumb that works on averages.

Thus, if a technology (say the Internet) has stayed with us for twenty years, it doesn’t mean we can expect only to live for another twenty years at least.

But as the Internet has proved successful already, the Lindy Effect might not apply.

In short, as we have additional information about a phenomenon the Lindy Effect might lose relevance.

For instance, if I know a person is twenty, yet sick of a terminal disease, I can’t expect to use normal life expectancy tables.

So I’ll have to apply that information to understand the future.

Strategies take years to fully roll out

It was 2006, when Tesla, with his co-founder   Martin Eberhard , launched a sports car that broke down the trade-off between high performance and fuel efficiency.

Tesla, which for a few years had been building up an electric sports car ready to be marketed, finally pulled it off.

As Elon Musk would   explain   Back in 2012:  

In 2006 our plan was to build an electric sports car followed by an affordable electric sedan, and reduce our dependence on oil…delivering Model S is a key part of that plan and represents Tesla’s transition to a mass-production automaker and the most compelling car company of the 21st century.

The beauty of a strategy that turns into a successful company, is that it might take years to roll out and seem obvious only in hindsight. 

This connects to what I like to call the transitional business model.

Or the idea, that many companies, before getting into a fully rolled out business strategy, transition through a period of low scalability and low market size, which will help them gain initial traction. 

As a transitional business model proves viable, it helps the company shape its long-term vision, while its built-in strategy is different from the long-term strategy.

The transitional business model will guarantee survival. It will help further refine the long-term strategy and it will also work as a reality check. 

As the transitional business model proves viable, the company moves to its long-term strategy execution. 

As the business strategy gets rolled out, over the years, it becomes evident and obvious, and yet none managed to pull it off.

When Netflix moved from DVD rental to streaming. DVD rental was the transitional business model that helped Netflix stay in business in the first place.

And yet, when Netflix moved from DVD to streaming it had to apparently change its strategy.

When, in reality, it was rolling out its long-term strategy, shaped by the transitional business model. 

Caveat: Frameworks work until suddenly they don’t

When you stumbled upon a “business formula,” you can’t stop there.

That business formula, if you’re lucky, will allow you to succeed in the long term. Yet as more and more people will find that out, that will lose relevance.

And the matter is, the reality is a villain. Things work for years until they suddenly don’t work anymore.

We’ll see some frameworks, but the real deal is not a framework but the inquiry process that makes us discover those frameworks.

In short, the value is in the repeatable process of discovery and not in the discovery itself. A discovery, once spread, loses value.

Master a business strategy process

There isn’t a size-fits-all business playbook that you can apply to all the scenarios.

Some of the business case studies we’ll see throughout this article will show companies that have dominated the tech space in the last decade and more.

While the playbook executed by those companies worked for the time being.

That doesn’t mean you should play according to their playbook. If at all you’ll need to figure out your own.

Thus, what matters is the process behind finding your business playbook and my hope is that this guide will inspire you and give you some good ideas on how to develop your own business strategy process!

Business strategy case studies

We’ll look now at a few case studies of companies that, at the time of this writing, are playing an important role in the business world.

• Alibaba Business Strategy.
• Amazon Business Strategy.
• Apple Business Strategy.
• Airbnb Business Strategy.
• Baidu Business Strategy.
• Booking Business Strategy.
• DuckDuckGo Business Strategy.
• Google (Alphabet) Business Strategy.

What is a business model’s essence?

Keeping in mind the distinction between business strategy and business models is critical.

The other element used in this guide is a business model essence.

Shortly, I’ve been looking for a way to summarize the key elements of any business in a couple of lines of text:

Therefore, for the sake of this discussion, you’ll find each company’s business strategy, a business model essence that will help us navigate through the noisy business world.

From there, we’ll see the business strategy of a company.

Alibaba Business Strategy

Business Model Essence : Online Stores Leveraging On An E-Commerce/Marketplace Distribution And Monetization Strategy  

As pointed out in Alibaba’s annual report for 2017:

We derive revenue from our four business segments: core commerce, cloud computing, digital media and entertainment, and innovation initiatives and others. We derive most of our revenue from our core commerce segment, which accounted for 85% of our total revenue in fiscal year 2017, while cloud computing, digital media and entertainment, and innovation initiatives and others contributed 4%, 9% and 2%, respectively. We derive a substantial majority of our core commerce revenue from online marketing services. 

Alibaba, like Amazon , became an “everything store” in China.

It leveraged its success to build also other media platforms ( Youku Todou and UCWeb). The e-commerce, marketplace business model has become quite common since the dawn of the web.

From that business model tech giants like Amazon , eBay and Alibaba have raised.

Alibaba’s vision, mission, and core principles

Alibaba’s Business Strategy starts from its core values defined in its annual report:

• Customer First : “The interests of our community of consumers, merchants, and enterprises must be our first”
• Teamwork: “ We believe teamwork enables ordinary people to achieve extraordinary things.”
• Embrace Change   I”n this fast-changing world, we must be flexible, innovative, and ready to adapt to new business conditions in order to maintain sustainability and vitality in our business.”
• Integrity “We expect our people to uphold the highest standards of honesty and to deliver on their commitments.”
• Passion “We expect our people to approach everything with fire in their belly and never give up on doing what they believe is right.”
• Commitment  “Employees who demonstrate perseverance and excellence are richly rewarded. Nothing should be taken for granted as we encourage our people to “work happily and live seriously.”

Alibaba’s mission is “ to make it easy to do business anywhere, ” and its vision is “to build the future infrastructure of commerce… a company that would last at least 102 years.”

For that vision to be executed it has three major stakeholders: users, consumers, and merchants.

The focus on the “at least 102 years” might seem fluffy words, yet those are important as this kind of goal helps you keep a long-term vision while executing short-term plans.

It isn’t unusual for founders to set such visions, as they help keep the company on track in the long run.

And this is where a business strategy starts.

All the business models designed by Alibaba will follow its vision, mission, and values they aim to create in the long run.

Read : Alibaba Business Model

Alibaba ecosystem and value proposition

These elements gave rise to an ecosystem made of “consumers, merchants, brands, retailers, other businesses, third-party service providers and strategic alliance partners.”

As Alibaba points out in its annual report “our ecosystem has strong self-reinforcing network effects benefitting its various participants, who are in turn invested in our ecosystem’s growth and success.”

Network effects are a critical ingredient for marketplaces’ success.

To give you an idea, the more buyers join the platform, the more Alibaba’s recommendation engine will be able to suggest relevant items to buy for other customers, and at the same time the more merchants will join in, given the larger and larger business opportunities.

Keeping these network effects going is a vital element of long-term success but also among the greatest challenge of any marketplace that wants to be relevant.

Even though Alibaba’s essence is in online commerce, the company has several business model s running and a business strategy that at its core is evolving quickly.

Thus, the core commerce has made it possible for Alibaba to build a whole new set of “companies within a company.”

From digital entertainment and media, logistics services, payment, financial services, and cloud services with Alibaba Cloud.

Thus, from a successful existing online business model , Alibaba has expanded in many other areas.

And its future business strategy focuses on developing, nurturing, and growing its ecosystem.

More precisely, its strategic long-term goal is to “serve two billion consumers around the world and support ten million businesses to operate profitably on its platforms”

To achieve that Alibaba is focusing on three key activities:

• Globalization.
• Rural expansion.
• And big data and cloud computing.

For its core commerce activities, Alibaba has designed a value proposition that moves around a few pillars:

• Broad selection: over 1.5 billion listings as of March 31, 2018.
• Convenience:  seamless experience anytime, anywhere from online and offline.
• Engaging, personalized experience: personalized shopping recommendations and opportunities for social engagement.
• Value for money: competitive prices offered via a marketplace business model.
• Merchant quality: review and rating system to keep merchants’ quality high.
• Authentic products: merchant quality ratings, clear refund, and return policies, and the Alipay escrow system.

From that value proposition , Alibaba has been able to grow its customer base and offer wider and broader products, until it expanded in the service and cloud business.

Amazon Business Strategy

Business Model Essence : E-Commerce/Marketplace Distribution And Monetization Model Leveraging On Proprietary Infrastructure To Offer Third-Party Services

Starting in 1994 as a bookstore, Amazon soon expanded and became the everything store.

While the company’s core business model is based on its online store.

Amazon launched its physical stores, which generated already over five billion dollars in revenues in 2017.

Amazon Prime (a subscription service) also plays a crucial role in Amazon’s overall business model , as it makes customers spend more and be more loyal to the platform. 

Besides, the company also has its cloud infrastructure called AWS, which is a world leader and a business with high margins. Amazon also has an advertising business worth a few billion dollars.

Thus, the Amazon business model mix looks like many companies in one. Amazon measures its success via a customer experience obsession, lowering prices, stable tech infrastructure, and free cash flow generation.

Therefore, even though in the minds of most people Amazon is the “everything store.”

In reality, its revenue generation shows us that it has become a way more complex organization, that also has a good chunk of advertising revenue and third-party services.

For instance, Amazon is also a key player with its AWS in the cloud space.

And is well a key player in the digital advertising space, together with Google and Facebook :

Amazon has been widely investing in its technological infrastructure since the 2000s, which eventually turned into a key component of its business model .

Read : Amazon Business Model

Amazon’s vision, mission, and core values

Jeff Bezos is obsessed with being in “day one,” which as he puts it , “ day 2 is stasis. Followed by irrelevance. Followed by excruciating, painful decline. Followed by death. And that is why it is always  Day 1. “

It all starts from there, and to achieve that Jeff Bezos has highlighted a few core values that makeup Amazon ‘s culture and vision :

• Customer obsession.
• Resist proxies.
• Embrace external trends.
• High-velocity decision-making.

As pointed out by Amazon , “w hen Amazon.com launched in 1995, it was with the mission “ to be Earth’s most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices. ” 

This goal continues today, but Amazon ’s customers are worldwide now and have grown to include millions of Consumers, Sellers, Content Creators, and Developers & Enterprises.

Each of these groups has different needs, and we always work to meet those needs, innovating new solutions to make things easier, faster, better, and more cost-effective.”

In this case, Amazon ‘s mission also sounds like a vision statement.

Whatever you want to call it, this input is what makes a company look for long-term goals that keep them on track.

Of course, that doesn’t mean a well-crafted vision and mission statement is all that matters for business success.

Yet, it is what keeps you going when things seem to go awry.

Amazon moved from an online book store to the A-to-Z store it kept its mission almost intact while scaling up.

Start from a proof of concept, then scale up

It is interesting to notice how businesses evolve based on their commercial ability to scale up.

When Amazon started up as a bookstore, it made sense for several reasons, that spanned from logistics to pricing modes and industry specifics.

Yet, when Amazon finally proved that the whole web thing could be commercially viable, it didn’t wait, it grew rapidly.

From music to anything else it didn’t happen overnight, but it did happen quickly.

Thus, this is how Amazon’s mission shifted from “any book in the world” to “anything from A-Z.”

This isn’t a size-fits-all strategy. Amazon chose rapid growth, similar to a blitzscaling process as aggressive growth was a way to preserve itself.

Hadn’t Amazon grown so quickly, it could have been killed.

The opposite approach to this kind of strategy is a bootstrapped business, which is profitable right away and self-sustainable.

Decentralized and distributed value creation: the era of platforms and ecosystems

Before we move forward, I want to highlight a few key elements to have a deeper understanding of both Amazon and Alibaba’s business models and their strategies.

Before digitalization would show its use and commercial viability, most of the value creation processes were internalized.

That meant companies had to employ massive resources to generate value along that chain.

That changed when digitalization allowed the value creation process to be distributed, and we moved from centralized to grassroots content creation.

This is even clearer in the case of platforms, and marketplaces like Amazon and Alibaba.

For instance, where in the past the review process and quality insurance would be done centrally by making sure that the supply complied with the company’s quality guidelines.

Introducing distributed review systems, where the end-users checked against the quality compliance, allowed companies like Alibaba and Amazon to generate network effects, where the more users enriched the platforms with those reviews the more the platform could become valuable.

For that matter though, the main platform’s role will be to fight spam and attempt to trick the system.

Other than that (fighting spam is a challenging task) all the rest is managed at the decentralized level, and the value creation happens when more and more users review products and services on those platforms.

We’re referring here to the review system, but it applies almost to any aspect of a platform.

Amazon for years allowed third-party to feature their stores on Amazon ‘s platform, while they kept the inventory.

This meant an outsourced and distributed inventory system, spread across the supply side.

Therefore, the supply side not only made the platform more valuable by creating compelling offerings.

But it also made it more valuable from the operational standpoint, by allowing a better inventory system, which could be turned quickly.

Therefore, the critical aspect to understand in the digital era is decentralized value creation, which makes the value creation process less expensive for an organization, more valuable to its end users, and more scalable as it benefits from network effects.

How do decentralize value creation?

Many platform-like business models have leveraged a few aspects:

• User-generated content (Quora, Facebook , Instagram).
• Distributed inventory systems ( Amazon , Alibaba).
• Peer-to-peer networks ( Airbnb , Uber).

This implies a paradigm shift.

When you start thinking in terms of platforms, no longer you’ll need a plethora of people taking care of each aspect of it.

Rather you’ll need to understand how the value creation can be outsourced to a community of people and make sure the platform is on top of its game in a few aspects.

For instance, Amazon and Alibaba have to make sure their review system isn’t gamed. Airbnb has to make sure to be able to guarantee safety in the interactions from host to guests and vice-versa.

Quora has to make sure to keep its question machine to keep generating relevant questions for users to answer (the supply-side).

If you grasp this element of a platform, you’re on a good track to understanding how to build a successful platform or marketplace.

Apple Business Strategy

Business Model Label : Product-Based Company Leveraging On Locked-In Ecosystems With A Reversed Razor And Blade Business Strategy

Apple sells its products and resells third-party products in most of its major markets directly to consumers and small and mid-sized businesses through its retail and online stores and its direct sales force.

The Company also employs a variety of indirect distribution channels , such as third-party cellular network carriers, wholesalers, retailers, and value-added resellers.

During 2017, the Company’s net sales through its direct and indirect distribution channels accounted for 28% and 72%, respectively, of total net sales.

Many people look at the iPhone, or the previous products Apple has launched successfully in the last decade and assume that their success is due to those products.

In reality, Apple has followed throughout the years a strategy that focused on five key elements:

• Strong branding.
• Beautifully crafted products.
• Technological innovation.
• Strong distribution.
• Locked-in ecosystems.

In short, Apple can sell an iPhone at a premium price because it employs a reversed razor and blade strategy.

This strategy implies free access to Apple’s Ecosystem (ex. iTunes, and Apple Store).

That makes the whole experience through Apple’s devices extremely valuable.

Thanks to that experience, the perception of high-end (luxury-like) products, together with a reliable distribution, justifies Apple’s premium prices.

Apple’s managed to build a business platform on top of the iPhone, thus creating a strong competitive moat, which lasts to these days:

Therefore, Apple’s future success can’t be measured with the same lenses as the last decade.

The real question is: what product will Apple  be able to launch successfully?

And keep in mind it’s not just about the product. Apple’s formula summarized above can be replicated over and over again.

But it isn’t a simple formula. And as locked-in ecosystems, in which Apple controls as much as possible, the experience of its users has proved quite successful in the last decade.

That might not be so in the next, given the rise of more decentralized infrastructure.

For that matter, Amazon might be well moving from a reversed razor and blade model:

To a service-based model:

This isn’t surprising, as a service business has a few compelling advantages:

• High margins.
• A relatively stable revenue stream.
• Scalability.

As Apple has relied on home runs with its products, from the new Mac to the iPod, iPhone, and iPhones, that kind of success isn’t easy to replicate, and it makes the company relies on a continuous stream of fresh sales to keep the business growing.

A service business would balance things out.

It is important to remark this isn’t something new to Apple :

When Apple introduced the iPhone, it isn’t like it was an overnight success. It was successful, but it had to create a whole ecosystem to make the iPhone a continuous source of growth for the company!

When it comes to business strategy, as pointed out in Apple’s annual reports:

The Company is committed to bringing the best user experience to its customers through its innovative hardware, software and services. The Company’s business strategy leverages its unique ability to design and develop its own operating systems, hardware, application software and services to provide its customers products and solutions with innovative design, superior ease-of-use and seamless integration.

Understanding this part is critical. As I explained above, at the time of this writing many think of Apple as the “iPhone company.”

Yet Apple is way more than that, and its business strategy is a mixture of creating ecosystems by leveraging on these pillars:

• Operating systems.
• Applications software.
• Innovative design.
• Ease-of-use.
• Seamless Integration.

Those elements together make Apple ‘s products successful. As Apple further explained:

As part of its strategy, the Company continues to expand its platform for the discovery and delivery of digital content and applications through its Digital Content and Services, which allows customers to discover and download or stream digital content, iOS, Mac, Apple Watch and Apple TV applications, and books through either a Mac or Windows personal computer or through iPhone, iPad and iPod touch® devices (“iOS devices”), Apple TV, Apple Watch and HomePod.

Once again, it isn’t anymore about creating a product, but about generating self-serve ecosystems.

How do you support those ecosystems?

It depends on what’s your target. A media company will primarily need an ecosystem made of content creators (take Quora or Facebook or YouTube ).

In many cases, a digital media company over time has to be able to nurture several communities to create a thriving ecosystem.

For instance, large tech companies or startups, often rely on several communities:

• Programmers and developers ( Google , Apple ).
• Content creators and publishers ( Google , Quora, YouTube ).
• Artists and creative talents ( Apple , YouTube ).

In Apple ‘s case though, the first ecosystem is the community of developers building third-party software products that complement the company’s offering:

The Company also supports a community for the development of third-party software and hardware products and digital content that complement the Company’s offerings.

When you combine that with a high-touch strategy (where skilled and knowledgeable salespeople interact with customers) you create a flywheel, where customers are retained for longer, the brand grows as a result of this high-touch activity which creates a better post-sale experience and triggers word of mouth and referral from existing customers:

The Company believes a high-quality buying experience with knowledgeable salespersons who can convey the value of the Company’s products and services greatly enhances its ability to attract and retain customers.Therefore, the Company’s strategy also includes building and expanding its own retail and online stores and its third-party distribution network to effectively reach more customers and provide them with a high-quality sales and post-sales support experience.The Company believes ongoing investment in research and development (“R&D”), marketing and advertising is critical to the development and sale of innovative products, services and technologies.

Read : Apple Business Model

Airbnb Business Strategy

Business Model Essence : Peer-To-Peer House-Sharing Network With Fee-Based Monetization Strategy

As a peer-to-peer network, Airbnb allows individuals to rent from private owners for a fee.

Airbnb charges guests a service fee between 5% and 15% of the reservation subtotal; While the commission from hosts is generally 3%.

Airbnb also charges hosts who offer experiences a 20% service fee on the total price.

The digitalization that happened in the last two decades has facilitated the creation of peer-to-peer platforms in which business models disrupted the hospitality model created in the previous century by hotel chains like Marriott, Holiday Inn, and Hilton.

Airbnb is quickly branching out toward offering more experiences. We can call Airbnb the “marketplace of experiences.”

In short, just like Amazon started from books, Airbnb has started from house-sharing.

But that is the starting point, which gives the innovative company enough traction to validate its whole business model and expand to other areas.

The principal aim of Airbnb is to control the whole experience for its users. This means creating an end-to-end travel experience that embraces the entire process .

Thus, it’s not surprising that we’ll see Airbnb expanding its marketplace to more and more areas. This is also shown by the fact that Airbnb might soon offer bundled travel packages .

Just as we’ve seen in the case of Alibaba and Amazon , Airbnb follows a marketplace logic, where it needs to make the interactions between its key users (hosts and guests) as smooth as possible, with an emphasis on safety.

As a platform, Airbnb initially used a strategy of improving the quality of its supply by employing freelance photographers that could take pictures of host homes.

This, in turn, made those homes more interesting for guests, as they could appreciate those homes more.

As many people in real estate might know, the quality of the pictures is critical.

Although this might sound trivial, this is what improved the Airbnb supply side.

Indeed with better and professionally taken images, Airbnb improved its reach via search engines (yes, search engines are thirsty for fresh and original content, images comprised).

And it enhanced the experience of its potential customers.

Now Airbnb is converting its business model to digital experiences. In addition to changing the whole strategy.

Whereas Airbnb focused in the past on covering major cities across the world.

Changing travel habits made Airbnb focus on digital experiences and local, extra-metropolitan areas throughout the pandemic.

While, post-pandemic, as people travel for longer stays, the whole platform has been structured around these. 

Read : Airbnb Business Model

Baidu Business Strategy

Business Model Essence :  Online Marketing Free Services Advertising-Supported Revenue Model

Baidu makes money primarily via online marketing services (advertising). In fact, in 2017, Baidu made about $11.24 in online marketing services and a remaining almost $1.8 billion through other sources. According to Statista,

Baidu has an overall search market share of 73.8% of the Chinese market. Other sources of revenues comprise membership services of iQIYI (an innovative market-leading online entertainment service provider in China) and financial services.

At first sight, Baidu might seem the mirror image of Google , but in China.

However, this is a superficial view. While Baidu has followed in China a similar path to Google , it did take advantage of the fact that Google wasn’t available there, to build its dominant position.

Baidu also has a more efficient cost structure than Google. It had also introduced innovations in its search products (like voice search devices for kids) at a time when Google wasn’t there yet.

Read : Baidu Business Model

Baidu mission: two-pillar business strategy and value propositions acting as a glue for its key users/customers

In the past years, Baidu has followed an expansion business strategy focused on acquiring assets and companies that complemented its core business model .

As the leading Chinese search provider, in 2017, Baidu updated its mission to “ Baidu aims to make a complex world simpler through technology.”

This mission is achieved via a two-pillar strategy:

• Strengthening the mobile foundation (similar to Google’s mobile-first).
• And leading in artificial intelligence.

Baidu’s key partners comprise users, customers, Baidu union members, and content providers.

For each of those critical segments, Baidu has drafted a fundamental value proposition .

Thus, to generate a value chain that works for these stakeholders, Baidu has to balance it with a diversified value proposition :

• Users:  enjoying Baidu search experience want a search engine that gives them relevant results.
• Customers: with 775,000 active online marketing customers in 2017, consisting of SMEs, large domestic businesses, and multinational companies, distributed across retail and e-commerce, network service, medical and healthcare, franchise investment, financial services, education, online games, transportation, construction and decoration, and business services. Those businesses look for a trackable, and sustainable ROI for their paid advertising campaigns. By bidding on keywords, they can target specific audiences.
• Baidu Union Member: share revenues with Baidy by displaying banner ads on their sites in relevant spaces filled by the  Baidu search algorithm (think of it as Google’s AdSense Network ). Those publishers and sites can generate additional revenues and monetize their content without relying on complex infrastructure, that instead is employed by Baidu.
• Content Providers:  video copyright holders, app owners who list their apps on the Baidu app store, users who contribute their valuable and copyrighted content to Baidu products, and publishers. Those users get visibility or money in exchange for this content. Baidu has to make sure to allow those content providers to get in exchange for their work and creativity visibility and revenues.

Understanding how the value proposition for each player comes together is critical to understanding the business decisions a company like Baidu makes over time.

For instance, as Baidu (like Google ) moves more and more toward AI, the need to balance the value proposition for Baidu Union Members might fickle.

Booking Business Strategy

Business Model Essence :  House-Sharing Platform Leveraging On A Two-Sided Marketplace With A Commission-Based Revenue Model

Booking Holdings is the company that controls six main brands that comprise Booking.com, priceline.com, KAYAK, agoda.com, Rentalcars.com, and OpenTable. 

Over 76% of the company’s revenues in 2017 came primarily via travel reservations commissions and travel insurance fees.

Almost 17% came from merchant fees, and the remaining revenues came from advertising earned via KAYAK.

As a distribution strategy, the company spent over $4.5 billion on performance-based and brand advertising.

Read : Booking Business Model

Booking mission, value proposition, and key players

Booking’s mission is to “help people experience the world.” Booking does that via a few primary brands:

• Booking.com.
• priceline.com.
• Rentalcars.com.

The mission of helping people experience the world is executed via three primary value propositions delivered to consumers, travelers, and business partners:

• Consumers are provided what Booking calls “the best choices and prices at any time, in any place, on any device.”
• People and travelers can easily find, book, and experience their travel desires.
• Business partners (like Hotels featured on Booking.com) are provided with platforms, tools, and insights in exchange.

Boomedium-term term strategy is focused on:

• Leveraging technology to provide the best experience.
• Growing partnerships with travel service providers and restaurants.
• Investing in profitable and sustainable growth.

DuckDuckGo Business Strategy

Business Model Essence : Privacy-based Search Engine Built On Google’s Weakness With An affiliate-based Revenue Model

DuckDuckGo makes money in two simple ways: Advertising and Affiliate Marketing.

Advertising is shown based on the keywords typed into the search box. Affiliate revenues come from Amazon and eBay affiliate programs.

When users buy after getting on those sites through DuckDuckGo the company collects a small commission.

While this model might not sound that exciting. DuckDuckGo managed to grow quickly by leveraging Google’s primary weakness: users’ privacy. Where Google’s primary asset is made of users’ data. DuckDuckGo throws that data away on the fly:

It is important to remark that DuckDuckGo is still figuring out a business model that can make it sustainable in the long term.

Indeed, the company got a venture round of $10 million back in August 2018.

DuckDuckGo will be tweaking its business model in the coming years, to reach a “ business model /market fit.”

Read : DuckDuckGo Business Model

Read : DuckDuckGo Story

Google (Alphabet) Business Strategy

Business Model Essence :  Free Search Engine Distributed Across Hardware, Browsers, And Members’ Websites With An Hidden Revenue Generation Model

As of 2017, over ninety billion dollars, which consisted of 86% of Google ’s revenues came from advertising networks.

The remaining fraction (about 13%) came from Apps, Google Cloud, and Hardware. While a bit more than 1% came from bets like Access, Calico, CapitalG, GV, Nest, Verily, Waymo, and X.

Google business model is changing over the years.

Even though advertising is still its cash cow, Google has been diversifying its revenues in other areas. 

While in 2015 90% of Google’s revenues came from advertising, in 2017, advertising revenues represented 86%.

Other revenues grew from about 10% in 2015 to almost 13% in 2017.

Why did Google get there? And where is Google going next? To understand that you need to understand the “moonshot thinking.”

Read : Google Business Model

Read : Google Cost Structure

Read : Baidu vs. Google

Understanding Google’s moonshot thinking and a breakthrough approach to business

As highlighted in the Alphabet annual report for 2018:

Many companies get comfortable doing what they have always done, making only incremental changes. This incrementalism leads to irrelevance over time, especially in technology, where change tends to be revolutionary, not evolutionary. People thought we were crazy when we acquired YouTube and Android and when we launched Chrome, but those efforts have matured into major platforms for digital video and mobile devices and a safer, popular browser. We continue to look toward the future and continue to invest for the long-term. As we said in the original founders’ letter, we will not shy away from high-risk, high-reward projects that we believe in because they are the key to our long-term success.

Understanding the moonshot approach to business is critical to understanding where Google (now Alphabet) got where it is today, and where it’s headed next.

Since the first shareholders’ letter from Google’s founders, Brin and Page they highlighted that “ Google is not a conventional company. We do not intend to become one.”

Google has successfully built ecosystems that today drive

To understand where Google is going next, you need to look at the AI Economy , in which the tech giant is trying to lead the pack.

Whether or not it will be successful will highly depend on its ability to keep creating successful ecosystems, just as Google has done with Google Maps (you might not realize but Google Maps powers up quite a large number of applications) and Android.

At the time of this writing, Google is widely investing in other areas, such as:

• Voice search.
• AI and machine learning applications.
• Self-driving cars.
• And other bets.

If that is not sufficient Google has made several moves in different spaces, to keep its dominance on mobile, while moving toward voice search, like the investment in KaiOS, which business model is interesting as it finally allows an ecosystem to be built on top of cheap mobile devices in developing countries:

That is why Google keeps making “smaller bets in areas that might seem very speculative or even strange when compared to its current businesses.”

Those other bets made “just” $595 million to Google in 2018.

This represented 0.4% of Google ‘s overall revenues , compared to the over $136 billion coming from the other segments.

Google ‘s North Star is its mission of “ organizing the world’s information and making it universally accessible and useful.” 

Read : KaiOS Business Model

Let’s go through a few other tips for a successful business strategy. 

Problem-first approach

The customer-problem quadrant by LEANSTACK’s Ash Maurya is a great starting point to define and understand the problem, that as an entrepreneur you will going to solve. 

Indeed, a successful business is such, based on the market’s rewards for the entrepreneur’s ability to solve a problem.

Keep in mind that defining and understanding problems in the real world is one of the most difficult things (that is why entrepreneurship is so hard).

To properly stumble on the right definition of the problem you’re solving, there might be some fine-tuning going on, which in the business world we like to call product-market fit . 

Business engineering skills

Another key element is not to lose sight of the context you’re operating.

As such, analyzing that properly might require some business engineering skills . 

To simplify your life you can use the FourWeekMBA business analysis framework.

Don’t strategize on a piece of paper

Strategies always work well on a piece of paper.

Yet when execution comes suddenly we can realize all the drawbacks of that.

In very few, rare cases, a designed strategy will work as expected.

However, the reason we plan and strategize isn’t just to make things work as we’d like them to.

But to communicate a vision we have to those people (employees, customers, stakeholders) who will help us get there. 

That is why when we strategize it’s important not to lose sight of the essence of our strategy, which is the long-term vision we have for our business.

The rest is execution, practice, and a lot of experimentation!

The innovation loop

Innovation starts by tweaking, testing, and experimenting also in unexpected ways.

Often though, as a business strategy is documented after the fact, it seems as if it was all part of a plan. 

In most cases, the innovation loop starts by stumbling upon that thing that will have a great impact on your business.

Therefore, as an entrepreneur, you need to keep pushing on those models that worked out.

But also to be on the lookout for new ways of doing things. 

Barbell approach 

In a barbel approach we want to have a clear distinction between two domains: 

• Core business : on the core business side, where you have a consolidated strategy, and a business model that has proved to work, it’s important to be structured. This means having a clear culture, following given processes, and slowly evolving your business model. 
• New bets : as your business model will become outdated over time, and that might happen also very quickly, you need to be on the lookout for new opportunities emerging, also in new, completely unrelated business fields. 

For instance, a tech giant like Google, has a part of its business skewed toward a few bets it placed on industries that are completely unrelated to its core business (search).

Those bets are not contributing at all to its bottom line (only some of those bets are generating revenues but those are extremely marginal compared to the overall turnover of the company). 

However, those might turn out widely successful (or huge failures) in the years to come. 

Thus, with a barbell approach, we want to consolidate what we have. But also be open to what might be coming next!

Business Explorers

Strategic analysis thinking tools.

Strategic analysis is a process to understand the organization’s environment and competitive landscape to formulate informed business decisions , to plan for the organizational structure and long-term direction. Strategic planning is also useful to experiment with business model design and assess the fit with the long-term vision of the business.

Business model canvas

The business model canvas aims to provide a keen understanding of your business model to provide strategic insights about your customers, product/service, and financial structure;

so that you can make better business decisions.

Blitzscaling canvas

In this article, I’ll focus on the Blitzscaling business model canvas. This is a model based on the concept of Blitzscaling.

That is a particular process of massive growth under uncertainty, and that prioritizes speed over efficiency. It focuses on market domination to create a first-scaler advantage in a scenario of uncertainty.

Pretotyping

Pretotyping is a mixture of the words “pretend” and “prototype,” and it is a methodology used to validate business ideas to improve the chances of building a product or service that people want.

The pretotyping methodology comes from Alberto Savoia’s work summarized in the book “The Right It: Why So Many Ideas Fail and How to Make Sure Yours Succeed.”

This framework is a mixture of the words “pretend” and “prototype,” and it helps to answer such questions (about the product or service to build) as: Would I use it? How, how often, and when would I use it?

Would other people buy it? How much would they be willing to pay for it? How, how often, and when would they use it?

Value innovation and blue ocean strategy

A blue ocean is a strategy where the boundaries of existing markets are redefined, and new uncontested markets are created.

At its core, there is value innovation, for which uncontested markets are created, where competition is made irrelevant. And the cost-value trade-off is broken.

Thus, companies following a blue ocean strategy offer much more value at a lower cost for the end customers.

Growth hacking process

Growth hacking is a process of rapid experimentation, coupled with the understanding of the whole funnel, where marketing , product, data analysis, and engineering work together to achieve rapid growth.

The growth hacking process goes through four key stages analyzing, ideating, prioritizing, and testing.

Pirate metrics

Venture capitalist , Dave McClure, coined the acronym AARRR which is a simplified model that enables us to understand what metrics and channels to look at. At each stage of the users’ path toward becoming customers and referrers of a brand.

Engines of growth

In the Lean Startup, Eric Ries defined the engine of growth as “the mechanism that startups use to achieve sustainable growth.”

He described sustainable growth as following a simple rule, “new customers come from the actions of past customers.”

The three engines of growth are the sticky engine, the viral engine, and the paid engine. Each of those can be measured and tracked by a few key metrics, and it helps plan your strategic moves.

The RTVN model is a straightforward framework that can help you design a business model when you’re at the very early stage of figuring out what you need to make it succeed.

Sales cycle

A sales cycle is the process that your company takes to sell your services and products.

In simple words, it’s a series of steps that your sales reps need to go through with prospects that lead up to a closed sale.

Planning ahead of time the steps your sales team needs to take to close a big contract can help you grow the revenues for your business.

Comparable analysis

A comparable company analysis is a process that enables the identification of similar organizations to be used as a comparison to understand the business and financial performance of the target company.

To find comparables, you can look at two key profiles: the business and economic profiles.

From the comparable company analysis, it is possible to understand the competitive landscape of the target organization.

Porter’s five forces

Porter’s Five Forces is a model that helps organizations to gain a better understanding of their industries and competition.

It was published for the first time by Professor Michael Porter in his book “Competitive Strategy” in the 1980s.

The model breaks down industries and markets by analyzing them through five forces which you can use to have a first assessment of the market you’re in.

Porter’s Generic Strategies

Porter’s Value Chain

Porter’s Diamond Model

Bowman’s Strategy Clock

VMOST Analysis

Fishbone Diagram

GE McKinsey Matrix

VRIO Framework

3C Analysis

AIDA stands for attention, interest, desire, and action. This is a model that is used in marketing to describe the potential journey a customer might go through, before purchasing a product or service. The variation of the AIDA model is the CAB model and the AIDCAS model.

PESTEL analysis

The PESTEL analysis is a framework that can help marketers assess whether macro-economic factors are affecting an organization.

This is a critical step that helps organizations identify potential threats and weaknesses. That can be used in other frameworks such as SWOT or to gain a broader and better understanding of the overall marketing environment.

Technology adoption curve

The technology adoption curve is a model that goes through five stages. Each of those stages (innovators, early adopters, early majority, late majority, and laggard) has a specific psychographic that makes that group of people ready to adopt a tech product.

This simple concept can help you define the right target for your business strategy.

Business model essence

A Business Model Essence, according to FourWeekMBA, is a way to find the critical characteristics of any business to have a clear understanding of that business in a few sentences.

That can be used to analyze existing businesses. Or to draft your Business Model and keep a strategic and execution focus on the key elements to be implemented in the short-medium term.

FourWeekMBA business model framework

An effective business model has to focus on two dimensions: the people dimension and the financial dimension. The people dimension will allow you to build a product or service that is 10X better than existing ones and a solid brand.

The financial dimension will help you develop proper distribution channels by identifying the people that are willing to pay for your product or service and make it financially sustainable in the long run.

TAM, SAM, and SOM

Understanding your TAM, SAM and SOM can help you navigate the market you’re in and to have a laser focus on the market you can reach with your product and service.

Brand Building

Value Proposition Design

Product-Market Fit

Freemium Decision Model

Organizational Design And Structures

Speed-Reversibility Matrix

Minimum Viable Product

SWOT Analysis

Revenue Modeling

Business Experimentation

Business Analysis

Ansoff Matrix

Key takeaway

I hope that in this guide you learned the critical aspects related to business strategy, with an emphasis on the entrepreneurial world. If business strategy would only be an academic discipline disjoined from reality, that would still be an interesting domain, yet purely speculative.

However, as a business strategy can be used as a useful tool to leverage on to build companies, hopefully, this guide will help you out in navigating through the seemingly noisy and confusing business world, dominated by technology. As a last but critical caveat, there isn’t a single way toward building a successful business.

And oftentimes the way you choose to build a business is really up to you, how you want to impact a community of people and your vision for the future!

Other resources: 

• Types of Business Models You Need to Know
• What Is a Business Model Canvas? Business Model Canvas Explained
• Blitzscaling Business Model Innovation Canvas In A Nutshell
• What Is a Value Proposition? Value Proposition Canvas Explained
• What Is a Lean Startup Canvas? Lean Startup Canvas Explained
• How to Write a One-Page Business Plan
• How to Build a Great Business Plan According to Peter Thiel
• How To Create A Business Model
• What Is Business Model Innovation And Why It Matters
• What Is Blitzscaling And Why It Matters
• Business Model Vs. Business Plan: When And How To Use Them
• The Five Key Factors That Lead To Successful Tech Startups
• Business Model Tools for Small Businesses and Startups

Additional Business Strategy Tactics

Blue ocean player.

Blue Sea Player

Constructive Disruptor

Niche player

Blitzscaler

Continuous Blitzscaler

What is business strategy?

What are examples of business strategies.

Things like product differentiation, business model innovation, technological innovation, more capital for growth, can all be moats that organizations focus on to gain an edge. Depending on the context, industry, and scenario, a business strategy might be more or less effective; that is why testing and experimentation are critical elements.

Connected Strategy Frameworks

ADKAR Model

Business Model Canvas

Lean Startup Canvas

Blitzscaling Canvas

Blue Ocean Strategy

Business Analysis Framework

Balanced Scorecard

Blue Ocean Strategy 

GAP Analysis

GE McKinsey Model

McKinsey 7-S Model

McKinsey’s Seven Degrees

McKinsey Horizon Model

Porter’s Five Forces

Porter’s Value Chain Model

PESTEL Analysis

Scenario Planning

STEEPLE Analysis

FourWeekMBA Business Toolbox

Business Engineering

Tech Business Model Template

Web3 Business Model Template

Asymmetric Business Models

Business Competition

Technological Modeling

Transitional Business Models

Minimum Viable Audience

Business Scaling

Market Expansion Theory

Speed-Reversibility

Asymmetric Betting

Growth Matrix

Revenue Streams Matrix

Pricing Strategies

Other business resources:

• What Is Business Model Innovation
• What Is a Business Model
• What Is Business Strategy
• What is Blitzscaling
• What Is Market Segmentation
• What Is a Marketing Strategy
• What is Growth Hacking

More Resources

About The Author

Gennaro Cuofano

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5 Benefits of Learning Through the Case Study Method

• 28 Nov 2023

While several factors make HBS Online unique —including a global Community and real-world outcomes —active learning through the case study method rises to the top.

In a 2023 City Square Associates survey, 74 percent of HBS Online learners who also took a course from another provider said HBS Online’s case method and real-world examples were better by comparison.

Here’s a primer on the case method, five benefits you could gain, and how to experience it for yourself.

Access your free e-book today.

What Is the Harvard Business School Case Study Method?

The case study method , or case method , is a learning technique in which you’re presented with a real-world business challenge and asked how you’d solve it. After working through it yourself and with peers, you’re told how the scenario played out.

HBS pioneered the case method in 1922. Shortly before, in 1921, the first case was written.

“How do you go into an ambiguous situation and get to the bottom of it?” says HBS Professor Jan Rivkin, former senior associate dean and chair of HBS's master of business administration (MBA) program, in a video about the case method . “That skill—the skill of figuring out a course of inquiry to choose a course of action—that skill is as relevant today as it was in 1921.”

Originally developed for the in-person MBA classroom, HBS Online adapted the case method into an engaging, interactive online learning experience in 2014.

In HBS Online courses , you learn about each case from the business professional who experienced it. After reviewing their videos, you’re prompted to take their perspective and explain how you’d handle their situation.

You then get to read peers’ responses, “star” them, and comment to further the discussion. Afterward, you learn how the professional handled it and their key takeaways.

HBS Online’s adaptation of the case method incorporates the famed HBS “cold call,” in which you’re called on at random to make a decision without time to prepare.

“Learning came to life!” said Sheneka Balogun , chief administration officer and chief of staff at LeMoyne-Owen College, of her experience taking the Credential of Readiness (CORe) program . “The videos from the professors, the interactive cold calls where you were randomly selected to participate, and the case studies that enhanced and often captured the essence of objectives and learning goals were all embedded in each module. This made learning fun, engaging, and student-friendly.”

If you’re considering taking a course that leverages the case study method, here are five benefits you could experience.

5 Benefits of Learning Through Case Studies

1. take new perspectives.

The case method prompts you to consider a scenario from another person’s perspective. To work through the situation and come up with a solution, you must consider their circumstances, limitations, risk tolerance, stakeholders, resources, and potential consequences to assess how to respond.

Taking on new perspectives not only can help you navigate your own challenges but also others’. Putting yourself in someone else’s situation to understand their motivations and needs can go a long way when collaborating with stakeholders.

2. Hone Your Decision-Making Skills

Another skill you can build is the ability to make decisions effectively . The case study method forces you to use limited information to decide how to handle a problem—just like in the real world.

Throughout your career, you’ll need to make difficult decisions with incomplete or imperfect information—and sometimes, you won’t feel qualified to do so. Learning through the case method allows you to practice this skill in a low-stakes environment. When facing a real challenge, you’ll be better prepared to think quickly, collaborate with others, and present and defend your solution.

3. Become More Open-Minded

As you collaborate with peers on responses, it becomes clear that not everyone solves problems the same way. Exposing yourself to various approaches and perspectives can help you become a more open-minded professional.

When you’re part of a diverse group of learners from around the world, your experiences, cultures, and backgrounds contribute to a range of opinions on each case.

On the HBS Online course platform, you’re prompted to view and comment on others’ responses, and discussion is encouraged. This practice of considering others’ perspectives can make you more receptive in your career.

“You’d be surprised at how much you can learn from your peers,” said Ratnaditya Jonnalagadda , a software engineer who took CORe.

In addition to interacting with peers in the course platform, Jonnalagadda was part of the HBS Online Community , where he networked with other professionals and continued discussions sparked by course content.

“You get to understand your peers better, and students share examples of businesses implementing a concept from a module you just learned,” Jonnalagadda said. “It’s a very good way to cement the concepts in one's mind.”

4. Enhance Your Curiosity

One byproduct of taking on different perspectives is that it enables you to picture yourself in various roles, industries, and business functions.

“Each case offers an opportunity for students to see what resonates with them, what excites them, what bores them, which role they could imagine inhabiting in their careers,” says former HBS Dean Nitin Nohria in the Harvard Business Review . “Cases stimulate curiosity about the range of opportunities in the world and the many ways that students can make a difference as leaders.”

Through the case method, you can “try on” roles you may not have considered and feel more prepared to change or advance your career .

5. Build Your Self-Confidence

Finally, learning through the case study method can build your confidence. Each time you assume a business leader’s perspective, aim to solve a new challenge, and express and defend your opinions and decisions to peers, you prepare to do the same in your career.

According to a 2022 City Square Associates survey , 84 percent of HBS Online learners report feeling more confident making business decisions after taking a course.

“Self-confidence is difficult to teach or coach, but the case study method seems to instill it in people,” Nohria says in the Harvard Business Review . “There may well be other ways of learning these meta-skills, such as the repeated experience gained through practice or guidance from a gifted coach. However, under the direction of a masterful teacher, the case method can engage students and help them develop powerful meta-skills like no other form of teaching.”

How to Experience the Case Study Method

If the case method seems like a good fit for your learning style, experience it for yourself by taking an HBS Online course. Offerings span seven subject areas, including:

• Business essentials
• Leadership and management
• Entrepreneurship and innovation
• Finance and accounting
• Business in society

No matter which course or credential program you choose, you’ll examine case studies from real business professionals, work through their challenges alongside peers, and gain valuable insights to apply to your career.

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How to write a case study — examples, templates, and tools

It’s a marketer’s job to communicate the effectiveness of a product or service to potential and current customers to convince them to buy and keep business moving. One of the best methods for doing this is to share success stories that are relatable to prospects and customers based on their pain points, experiences, and overall needs.

That’s where case studies come in. Case studies are an essential part of a content marketing plan. These in-depth stories of customer experiences are some of the most effective at demonstrating the value of a product or service. Yet many marketers don’t use them, whether because of their regimented formats or the process of customer involvement and approval.

A case study is a powerful tool for showcasing your hard work and the success your customer achieved. But writing a great case study can be difficult if you’ve never done it before or if it’s been a while. This guide will show you how to write an effective case study and provide real-world examples and templates that will keep readers engaged and support your business.

In this article, you’ll learn:

What is a case study?

How to write a case study, case study templates, case study examples, case study tools.

A case study is the detailed story of a customer’s experience with a product or service that demonstrates their success and often includes measurable outcomes. Case studies are used in a range of fields and for various reasons, from business to academic research. They’re especially impactful in marketing as brands work to convince and convert consumers with relatable, real-world stories of actual customer experiences.

The best case studies tell the story of a customer’s success, including the steps they took, the results they achieved, and the support they received from a brand along the way. To write a great case study, you need to:

• Celebrate the customer and make them — not a product or service — the star of the story.
• Craft the story with specific audiences or target segments in mind so that the story of one customer will be viewed as relatable and actionable for another customer.
• Write copy that is easy to read and engaging so that readers will gain the insights and messages intended.
• Follow a standardized format that includes all of the essentials a potential customer would find interesting and useful.
• Support all of the claims for success made in the story with data in the forms of hard numbers and customer statements.

Case studies are a type of review but more in depth, aiming to show — rather than just tell — the positive experiences that customers have with a brand. Notably, 89% of consumers read reviews before deciding to buy, and 79% view case study content as part of their purchasing process. When it comes to B2B sales, 52% of buyers rank case studies as an important part of their evaluation process.

Telling a brand story through the experience of a tried-and-true customer matters. The story is relatable to potential new customers as they imagine themselves in the shoes of the company or individual featured in the case study. Showcasing previous customers can help new ones see themselves engaging with your brand in the ways that are most meaningful to them.

Besides sharing the perspective of another customer, case studies stand out from other content marketing forms because they are based on evidence. Whether pulling from client testimonials or data-driven results, case studies tend to have more impact on new business because the story contains information that is both objective (data) and subjective (customer experience) — and the brand doesn’t sound too self-promotional.

Case studies are unique in that there’s a fairly standardized format for telling a customer’s story. But that doesn’t mean there isn’t room for creativity. It’s all about making sure that teams are clear on the goals for the case study — along with strategies for supporting content and channels — and understanding how the story fits within the framework of the company’s overall marketing goals.

Here are the basic steps to writing a good case study.

1. Identify your goal

Start by defining exactly who your case study will be designed to help. Case studies are about specific instances where a company works with a customer to achieve a goal. Identify which customers are likely to have these goals, as well as other needs the story should cover to appeal to them.

The answer is often found in one of the buyer personas that have been constructed as part of your larger marketing strategy. This can include anything from new leads generated by the marketing team to long-term customers that are being pressed for cross-sell opportunities. In all of these cases, demonstrating value through a relatable customer success story can be part of the solution to conversion.

2. Choose your client or subject

Who you highlight matters. Case studies tie brands together that might otherwise not cross paths. A writer will want to ensure that the highlighted customer aligns with their own company’s brand identity and offerings. Look for a customer with positive name recognition who has had great success with a product or service and is willing to be an advocate.

The client should also match up with the identified target audience. Whichever company or individual is selected should be a reflection of other potential customers who can see themselves in similar circumstances, having the same problems and possible solutions.

Some of the most compelling case studies feature customers who:

• Switch from one product or service to another while naming competitors that missed the mark.
• Experience measurable results that are relatable to others in a specific industry.
• Represent well-known brands and recognizable names that are likely to compel action.
• Advocate for a product or service as a champion and are well-versed in its advantages.

Whoever or whatever customer is selected, marketers must ensure they have the permission of the company involved before getting started. Some brands have strict review and approval procedures for any official marketing or promotional materials that include their name. Acquiring those approvals in advance will prevent any miscommunication or wasted effort if there is an issue with their legal or compliance teams.

3. Conduct research and compile data

Substantiating the claims made in a case study — either by the marketing team or customers themselves — adds validity to the story. To do this, include data and feedback from the client that defines what success looks like. This can be anything from demonstrating return on investment (ROI) to a specific metric the customer was striving to improve. Case studies should prove how an outcome was achieved and show tangible results that indicate to the customer that your solution is the right one.

This step could also include customer interviews. Make sure that the people being interviewed are key stakeholders in the purchase decision or deployment and use of the product or service that is being highlighted. Content writers should work off a set list of questions prepared in advance. It can be helpful to share these with the interviewees beforehand so they have time to consider and craft their responses. One of the best interview tactics to keep in mind is to ask questions where yes and no are not natural answers. This way, your subject will provide more open-ended responses that produce more meaningful content.

4. Choose the right format

There are a number of different ways to format a case study. Depending on what you hope to achieve, one style will be better than another. However, there are some common elements to include, such as:

• An engaging headline
• A subject and customer introduction
• The unique challenge or challenges the customer faced
• The solution the customer used to solve the problem
• The results achieved
• Data and statistics to back up claims of success
• A strong call to action (CTA) to engage with the vendor

It’s also important to note that while case studies are traditionally written as stories, they don’t have to be in a written format. Some companies choose to get more creative with their case studies and produce multimedia content, depending on their audience and objectives. Case study formats can include traditional print stories, interactive web or social content, data-heavy infographics, professionally shot videos, podcasts, and more.

5. Write your case study

We’ll go into more detail later about how exactly to write a case study, including templates and examples. Generally speaking, though, there are a few things to keep in mind when writing your case study.

• Be clear and concise. Readers want to get to the point of the story quickly and easily, and they’ll be looking to see themselves reflected in the story right from the start.
• Provide a big picture. Always make sure to explain who the client is, their goals, and how they achieved success in a short introduction to engage the reader.
• Construct a clear narrative. Stick to the story from the perspective of the customer and what they needed to solve instead of just listing product features or benefits.
• Leverage graphics. Incorporating infographics, charts, and sidebars can be a more engaging and eye-catching way to share key statistics and data in readable ways.
• Offer the right amount of detail. Most case studies are one or two pages with clear sections that a reader can skim to find the information most important to them.
• Include data to support claims. Show real results — both facts and figures and customer quotes — to demonstrate credibility and prove the solution works.

6. Promote your story

Marketers have a number of options for distribution of a freshly minted case study. Many brands choose to publish case studies on their website and post them on social media. This can help support SEO and organic content strategies while also boosting company credibility and trust as visitors see that other businesses have used the product or service.

Marketers are always looking for quality content they can use for lead generation. Consider offering a case study as gated content behind a form on a landing page or as an offer in an email message. One great way to do this is to summarize the content and tease the full story available for download after the user takes an action.

Sales teams can also leverage case studies, so be sure they are aware that the assets exist once they’re published. Especially when it comes to larger B2B sales, companies often ask for examples of similar customer challenges that have been solved.

Now that you’ve learned a bit about case studies and what they should include, you may be wondering how to start creating great customer story content. Here are a couple of templates you can use to structure your case study.

Template 1 — Challenge-solution-result format

• Start with an engaging title. This should be fewer than 70 characters long for SEO best practices. One of the best ways to approach the title is to include the customer’s name and a hint at the challenge they overcame in the end.
• Create an introduction. Lead with an explanation as to who the customer is, the need they had, and the opportunity they found with a specific product or solution. Writers can also suggest the success the customer experienced with the solution they chose.
• Present the challenge. This should be several paragraphs long and explain the problem the customer faced and the issues they were trying to solve. Details should tie into the company’s products and services naturally. This section needs to be the most relatable to the reader so they can picture themselves in a similar situation.
• Share the solution. Explain which product or service offered was the ideal fit for the customer and why. Feel free to delve into their experience setting up, purchasing, and onboarding the solution.
• Explain the results. Demonstrate the impact of the solution they chose by backing up their positive experience with data. Fill in with customer quotes and tangible, measurable results that show the effect of their choice.
• Ask for action. Include a CTA at the end of the case study that invites readers to reach out for more information, try a demo, or learn more — to nurture them further in the marketing pipeline. What you ask of the reader should tie directly into the goals that were established for the case study in the first place.

Template 2 — Data-driven format

• Start with an engaging title. Be sure to include a statistic or data point in the first 70 characters. Again, it’s best to include the customer’s name as part of the title.
• Create an overview. Share the customer’s background and a short version of the challenge they faced. Present the reason a particular product or service was chosen, and feel free to include quotes from the customer about their selection process.
• Present data point 1. Isolate the first metric that the customer used to define success and explain how the product or solution helped to achieve this goal. Provide data points and quotes to substantiate the claim that success was achieved.
• Present data point 2. Isolate the second metric that the customer used to define success and explain what the product or solution did to achieve this goal. Provide data points and quotes to substantiate the claim that success was achieved.
• Present data point 3. Isolate the final metric that the customer used to define success and explain what the product or solution did to achieve this goal. Provide data points and quotes to substantiate the claim that success was achieved.
• Summarize the results. Reiterate the fact that the customer was able to achieve success thanks to a specific product or service. Include quotes and statements that reflect customer satisfaction and suggest they plan to continue using the solution.
• Ask for action. Include a CTA at the end of the case study that asks readers to reach out for more information, try a demo, or learn more — to further nurture them in the marketing pipeline. Again, remember that this is where marketers can look to convert their content into action with the customer.

While templates are helpful, seeing a case study in action can also be a great way to learn. Here are some examples of how Adobe customers have experienced success.

Juniper Networks

One example is the Adobe and Juniper Networks case study , which puts the reader in the customer’s shoes. The beginning of the story quickly orients the reader so that they know exactly who the article is about and what they were trying to achieve. Solutions are outlined in a way that shows Adobe Experience Manager is the best choice and a natural fit for the customer. Along the way, quotes from the client are incorporated to help add validity to the statements. The results in the case study are conveyed with clear evidence of scale and volume using tangible data.

The story of Lenovo’s journey with Adobe is one that spans years of planning, implementation, and rollout. The Lenovo case study does a great job of consolidating all of this into a relatable journey that other enterprise organizations can see themselves taking, despite the project size. This case study also features descriptive headers and compelling visual elements that engage the reader and strengthen the content.

Tata Consulting

When it comes to using data to show customer results, this case study does an excellent job of conveying details and numbers in an easy-to-digest manner. Bullet points at the start break up the content while also helping the reader understand exactly what the case study will be about. Tata Consulting used Adobe to deliver elevated, engaging content experiences for a large telecommunications client of its own — an objective that’s relatable for a lot of companies.

Case studies are a vital tool for any marketing team as they enable you to demonstrate the value of your company’s products and services to others. They help marketers do their job and add credibility to a brand trying to promote its solutions by using the experiences and stories of real customers.

When you’re ready to get started with a case study:

• Think about a few goals you’d like to accomplish with your content.
• Make a list of successful clients that would be strong candidates for a case study.
• Reach out to the client to get their approval and conduct an interview.
• Gather the data to present an engaging and effective customer story.

Adobe can help

There are several Adobe products that can help you craft compelling case studies. Adobe Experience Platform helps you collect data and deliver great customer experiences across every channel. Once you’ve created your case studies, Experience Platform will help you deliver the right information to the right customer at the right time for maximum impact.

To learn more, watch the Adobe Experience Platform story .

Keep in mind that the best case studies are backed by data. That’s where Adobe Real-Time Customer Data Platform and Adobe Analytics come into play. With Real-Time CDP, you can gather the data you need to build a great case study and target specific customers to deliver the content to the right audience at the perfect moment.

Watch the Real-Time CDP overview video to learn more.

Finally, Adobe Analytics turns real-time data into real-time insights. It helps your business collect and synthesize data from multiple platforms to make more informed decisions and create the best case study possible.

Request a demo to learn more about Adobe Analytics.

https://business.adobe.com/blog/perspectives/b2b-ecommerce-10-case-studies-inspire-you

https://business.adobe.com/blog/basics/business-case

https://business.adobe.com/blog/basics/what-is-real-time-analytics

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• Methodology
• Case Study | Definition, Examples & Methods

Case Study | Definition, Examples & Methods

Published on 5 May 2022 by Shona McCombes . Revised on 30 January 2023.

A case study is a detailed study of a specific subject, such as a person, group, place, event, organisation, or phenomenon. Case studies are commonly used in social, educational, clinical, and business research.

A case study research design usually involves qualitative methods , but quantitative methods are sometimes also used. Case studies are good for describing , comparing, evaluating, and understanding different aspects of a research problem .

Table of contents

When to do a case study, step 1: select a case, step 2: build a theoretical framework, step 3: collect your data, step 4: describe and analyse the case.

A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

Case studies are often a good choice in a thesis or dissertation . They keep your project focused and manageable when you don’t have the time or resources to do large-scale research.

You might use just one complex case study where you explore a single subject in depth, or conduct multiple case studies to compare and illuminate different aspects of your research problem.

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Once you have developed your problem statement and research questions , you should be ready to choose the specific case that you want to focus on. A good case study should have the potential to:

• Provide new or unexpected insights into the subject
• Challenge or complicate existing assumptions and theories
• Propose practical courses of action to resolve a problem
• Open up new directions for future research

Unlike quantitative or experimental research, a strong case study does not require a random or representative sample. In fact, case studies often deliberately focus on unusual, neglected, or outlying cases which may shed new light on the research problem.

If you find yourself aiming to simultaneously investigate and solve an issue, consider conducting action research . As its name suggests, action research conducts research and takes action at the same time, and is highly iterative and flexible. 

However, you can also choose a more common or representative case to exemplify a particular category, experience, or phenomenon.

While case studies focus more on concrete details than general theories, they should usually have some connection with theory in the field. This way the case study is not just an isolated description, but is integrated into existing knowledge about the topic. It might aim to:

• Exemplify a theory by showing how it explains the case under investigation
• Expand on a theory by uncovering new concepts and ideas that need to be incorporated
• Challenge a theory by exploring an outlier case that doesn’t fit with established assumptions

To ensure that your analysis of the case has a solid academic grounding, you should conduct a literature review of sources related to the topic and develop a theoretical framework . This means identifying key concepts and theories to guide your analysis and interpretation.

There are many different research methods you can use to collect data on your subject. Case studies tend to focus on qualitative data using methods such as interviews, observations, and analysis of primary and secondary sources (e.g., newspaper articles, photographs, official records). Sometimes a case study will also collect quantitative data .

The aim is to gain as thorough an understanding as possible of the case and its context.

In writing up the case study, you need to bring together all the relevant aspects to give as complete a picture as possible of the subject.

How you report your findings depends on the type of research you are doing. Some case studies are structured like a standard scientific paper or thesis, with separate sections or chapters for the methods , results , and discussion .

Others are written in a more narrative style, aiming to explore the case from various angles and analyse its meanings and implications (for example, by using textual analysis or discourse analysis ).

In all cases, though, make sure to give contextual details about the case, connect it back to the literature and theory, and discuss how it fits into wider patterns or debates.

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28 Case Study Examples Every Marketer Should See

Published: March 08, 2023

Putting together a compelling case study is one of the most powerful strategies for showcasing your product and attracting future customers. But it's not easy to create case studies that your audience can’t wait to read.

In this post, we’ll go over the definition of a case study and the best examples to inspire you.

What is a case study?

A case study is a detailed story of something your company did. It includes a beginning — often discussing a conflict, an explanation of what happened next, and a resolution that explains how the company solved or improved on something.

A case study proves how your product has helped other companies by demonstrating real-life results. Not only that, but marketing case studies with solutions typically contain quotes from the customer. This means that they’re not just ads where you praise your own product. Rather, other companies are praising your company — and there’s no stronger marketing material than a verbal recommendation or testimonial. A great case study is also filled with research and stats to back up points made about a project's results.

There are myriad ways to use case studies in your marketing strategy . From featuring them on your website to including them in a sales presentation, a case study is a strong, persuasive tool that shows customers why they should work with you — straight from another customer. Writing one from scratch is hard, though, which is why we’ve created a collection of case study templates for you to get started.

Fill out the form below to access the free case study templates.

Free Case Study Templates

Showcase your company's success using these three free case study templates.

• Data-Driven Case Study Template
• Product-Specific Case Study Template
• General Case Study Template

You're all set!

Click this link to access this resource at any time.

There’s no better way to generate more leads than by writing case studies . But without case study examples to draw inspiration from, it can be difficult to write impactful studies that convince visitors to submit a form.

Marketing Case Study Examples

To help you create an attractive and high-converting case study, we've put together a list of some of our favorites. This list includes famous case studies in marketing, technology, and business.

These studies can show you how to frame your company offers in a way that is both meaningful and useful to your audience. So, take a look, and let these examples inspire your next brilliant case study design.

These marketing case studies with solutions show the value proposition of each product. They also show how each company benefited in both the short and long term using quantitative data. In other words, you don’t get just nice statements, like "This company helped us a lot." You see actual change within the firm through numbers and figures.

You can put your learnings into action with HubSpot's Free Case Study Templates . Available as custom designs and text-based documents, you can upload these templates to your CMS or send them to prospects as you see fit.

1. " How Handled Scaled from Zero to 121 Locations with the Help of HubSpot ," by HubSpot

What's interesting about this case study is the way it leads with the customer. That reflects a major HubSpot cornerstone, which is to always solve for the customer first. The copy leads with a brief description of why the CEO of Handled founded the company and why he thought Handled could benefit from adopting a CRM. The case study also opens up with one key data point about Handled’s success using HubSpot, namely that it grew to 121 locations.

Notice that this case study uses mixed media. Yes, there is a short video, but it's elaborated upon in the other text on the page. So while your case studies can use one or the other, don't be afraid to combine written copy with visuals to emphasize the project's success.

Key Learnings from the HubSpot Case Study Example

• Give the case study a personal touch by focusing on the CEO rather than the company itself.
• Use multimedia to engage website visitors as they read the case study.

2. " The Whole Package ," by IDEO

Here's a design company that knows how to lead with simplicity in its case studies. As soon as the visitor arrives at the page, they’re greeted with a big, bold photo and the title of the case study — which just so happens to summarize how IDEO helped its client. It summarizes the case study in three snippets: The challenge, the impact, and the outcome.

Immediately, IDEO communicates its impact — the company partnered with H&M to remove plastic from its packaging — but it doesn't stop there. As the user scrolls down, the challenge, impact, and progress are elaborated upon with comprehensive (but not overwhelming) copy that outlines what that process looked like, replete with quotes and intriguing visuals.

Key Learnings from the IDEO Case Study Example

• Split up the takeaways of your case studies into bite-sized sections.
• Always use visuals and images to enrich the case study experience, especially if it’s a comprehensive case study.

3. " Rozum Robotics intensifies its PR game with Awario ," by Awario

In this case study, Awario greets the user with a summary straight away — so if you’re feeling up to reading the entire case study, you can scan the snapshot and understand how the company serves its customers. The case study then includes jump links to several sections, such as "Company Profile," "Rozum Robotics' Pains," "Challenge," "Solution," and "Results and Improvements."

The sparse copy and prominent headings show that you don’t need a lot of elaborate information to show the value of your products and services. Like the other case study examples on this list, it includes visuals and quotes to demonstrate the effectiveness of the company’s efforts. The case study ends with a bulleted list that shows the results.

Key Learnings from the Awario Robotics Case Study Example

• Create a table of contents to make your case study easier to navigate.
• Include a bulleted list of the results you achieved for your client.

4. " Chevrolet DTU ," by Carol H. Williams

If you’ve worked with a company that’s well-known, use only the name in the title — like Carol H. Williams, one of the nation’s top advertising agencies, does here. The "DTU," stands for "Discover the Unexpected." It generates interest because you want to find out what the initials mean.

They keep your interest in this case study by using a mixture of headings, images, and videos to describe the challenges, objectives, and solutions of the project. The case study closes with a summary of the key achievements that Chevrolet’s DTU Journalism Fellows reached during the project.

Key Learnings from the Carol H. Williams Case Study Example

• If you’ve worked with a big brand before, consider only using the name in the title — just enough to pique interest.
• Use a mixture of headings and subheadings to guide users through the case study.

5. " How Fractl Earned Links from 931 Unique Domains for Porch.com in a Single Year ," by Fractl

Fractl uses both text and graphic design in their Porch.com case study to immerse the viewer in a more interesting user experience. For instance, as you scroll, you'll see the results are illustrated in an infographic-design form as well as the text itself.

Further down the page, they use icons like a heart and a circle to illustrate their pitch angles, and graphs to showcase their results. Rather than writing which publications have mentioned Porch.com during Fractl’s campaign, they incorporated the media outlets’ icons for further visual diversity.

Key Learnings from the Fractl Case Study Example

• Let pictures speak for you by incorporating graphs, logos, and icons all throughout the case study.
• Start the case study by right away stating the key results, like Fractl does, instead of putting the results all the way at the bottom.

6. " The Met ," by Fantasy

What's the best way to showcase the responsiveness and user interface of a website? Probably by diving right into it with a series of simple showcases— which is exactly what Fantasy does on their case study page for the Metropolitan Museum of Art. They keep the page simple and clean, inviting you to review their redesign of the Met’s website feature-by-feature.

Each section is simple, showing a single piece of the new website's interface so that users aren’t overwhelmed with information and can focus on what matters most.

If you're more interested in text, you can read the objective for each feature. Fantasy understands that, as a potential customer, this is all you need to know. Scrolling further, you're greeted with a simple "Contact Us" CTA.

Key Learnings from the Fantasy Case Study Example

• You don’t have to write a ton of text to create a great case study. Focus on the solution you delivered itself.
• Include a CTA at the bottom inviting visitors to contact you.

7. " Rovio: How Rovio Grew Into a Gaming Superpower ," by App Annie

If your client had a lot of positive things to say about you, take a note from App Annie’s Rovio case study and open up with a quote from your client. The case study also closes with a quote, so that the case study doesn’t seem like a promotion written by your marketing team but a story that’s taken straight from your client’s mouth. It includes a photo of a Rovio employee, too.

Another thing this example does well? It immediately includes a link to the product that Rovio used (namely, App Annie Intelligence) at the top of the case study. The case study closes with a call-to-action button prompting users to book a demo.

Key Learnings from the App Annie Case Study Example

• Feature quotes from your client at the beginning and end of the case study.
• Include a mention of the product right at the beginning and prompt users to learn more about the product.

8. " Embracing first-party data: 3 success stories from HubSpot ," by Think with Google

Google takes a different approach to text-focused case studies by choosing three different companies to highlight.

The case study is clean and easily scannable. It has sections for each company, with quotes and headers that clarify the way these three distinct stories connect. The simple format also uses colors and text that align with the Google brand.

Another differentiator is the focus on data. This case study is less than a thousand words, but it's packed with useful data points. Data-driven insights quickly and clearly show how the value of leveraging first-party data while prioritizing consumer privacy.

Key Learnings from the Think with Google Case Study Example

• A case study doesn’t need to be long or complex to be powerful.
• Clear data points are a quick and effective way to prove value.

9. " In-Depth Performance Marketing Case Study ," by Switch

Switch is an international marketing agency based in Malta that knocks it out of the park with this case study. Its biggest challenge is effectively communicating what it did for its client without ever revealing the client’s name. It also effectively keeps non-marketers in the loop by including a glossary of terms on page 4.

The PDF case study reads like a compelling research article, including titles like "In-Depth Performance Marketing Case Study," "Scenario," and "Approach," so that readers get a high-level overview of what the client needed and why they approached Switch. It also includes a different page for each strategy. For instance, if you’d only be interested in hiring Switch for optimizing your Facebook ads, you can skip to page 10 to see how they did it.

The PDF is fourteen pages long but features big fonts and plenty of white space, so viewers can easily skim it in only a few minutes.

Key Learnings from the Switch Case Study Example

• If you want to go into specialized information, include a glossary of terms so that non-specialists can easily understand.
• Close with a CTA page in your case study PDF and include contact information for prospective clients.

10. " Gila River ," by OH Partners

Let pictures speak for you, like OH Partners did in this case study. While you’ll quickly come across a heading and some text when you land on this case study page, you’ll get the bulk of the case study through examples of actual work OH Partners did for its client. You will see OH Partners’ work in a billboard, magazine, and video. This communicates to website visitors that if they work with OH Partners, their business will be visible everywhere.

And like the other case studies here, it closes with a summary of what the firm achieved for its client in an eye-catching way.

Key Learnings from the OH Partners Case Study Example

• Let the visuals speak by including examples of the actual work you did for your client — which is especially useful for branding and marketing agencies.
• Always close out with your achievements and how they impacted your client.

11. " Facing a Hater ," by Digitas

Digitas' case study page for Sprite’s #ILOVEYOUHATER campaign keeps it brief while communicating the key facts of Digitas’ work for the popular soda brand. The page opens with an impactful image of a hundred people facing a single man. It turns out, that man is the biggest "bully" in Argentina, and the people facing him are those whom he’s bullied before.

Scrolling down, it's obvious that Digitas kept Sprite at the forefront of their strategy, but more than that, they used real people as their focal point. They leveraged the Twitter API to pull data from Tweets that people had actually tweeted to find the identity of the biggest "hater" in the country. That turned out to be @AguanteElCofler, a Twitter user who has since been suspended.

Key Learnings from the Digitas Case Study Example

• If a video was part of your work for your client, be sure to include the most impactful screenshot as the heading.
• Don’t be afraid to provide details on how you helped your client achieve their goals, including the tools you leveraged.

12. " Better Experiences for All ," by HermanMiller

HermanMiller sells sleek, utilitarian furniture with no frills and extreme functionality, and that ethos extends to its case study page for a hospital in Dubai.

What first attracted me to this case study was the beautiful video at the top and the clean user experience. User experience matters a lot in a case study. It determines whether users will keep reading or leave. Another notable aspect of this case study is that the video includes closed-captioning for greater accessibility, and users have the option of expanding the CC and searching through the text.

HermanMiller’s case study also offers an impressive amount of information packed in just a few short paragraphs for those wanting to understand the nuances of their strategy. It closes out with a quote from their client and, most importantly, the list of furniture products that the hospital purchased from the brand.

Key Learnings from the HermanMiller Case Study Example

• Close out with a list of products that users can buy after reading the case study.
• Include accessibility features such as closed captioning and night mode to make your case study more user-friendly.

13. " Capital One on AWS ," by Amazon

Do you work continuously with your clients? Consider structuring your case study page like Amazon did in this stellar case study example. Instead of just featuring one article about Capital One and how it benefited from using AWS, Amazon features a series of articles that you can then access if you’re interested in reading more. It goes all the way back to 2016, all with different stories that feature Capital One’s achievements using AWS.

This may look unattainable for a small firm, but you don’t have to go to extreme measures and do it for every single one of your clients. You could choose the one you most wish to focus on and establish a contact both on your side and your client’s for coming up with the content. Check in every year and write a new piece. These don’t have to be long, either — five hundred to eight hundred words will do.

Key Learnings from the Amazon AWS Case Study Example

• Write a new article each year featuring one of your clients, then include links to those articles in one big case study page.
• Consider including external articles as well that emphasize your client’s success in their industry.

14. " HackReactor teaches the world to code #withAsana ," by Asana

While Asana's case study design looks text-heavy, there's a good reason. It reads like a creative story, told entirely from the customer's perspective.

For instance, Asana knows you won't trust its word alone on why this product is useful. So, they let Tony Phillips, HackReactor CEO, tell you instead: "We take in a lot of information. Our brains are awful at storage but very good at thinking; you really start to want some third party to store your information so you can do something with it."

Asana features frequent quotes from Phillips to break up the wall of text and humanize the case study. It reads like an in-depth interview and captivates the reader through creative storytelling. Even more, Asana includes in-depth detail about how HackReactor uses Asana. This includes how they build templates and workflows:

"There's a huge differentiator between Asana and other tools, and that’s the very easy API access. Even if Asana isn’t the perfect fit for a workflow, someone like me— a relatively mediocre software engineer—can add functionality via the API to build a custom solution that helps a team get more done."

Key Learnings from the Asana Example

• Include quotes from your client throughout the case study.
• Provide extensive detail on how your client worked with you or used your product.

15. " Rips Sewed, Brand Love Reaped ," by Amp Agency

Amp Agency's Patagonia marketing strategy aimed to appeal to a new audience through guerrilla marketing efforts and a coast-to-coast road trip. Their case study page effectively conveys a voyager theme, complete with real photos of Patagonia customers from across the U.S., and a map of the expedition. I liked Amp Agency's storytelling approach best. It captures viewers' attention from start to finish simply because it's an intriguing and unique approach to marketing.

Key Learnings from the Amp Agency Example

• Open up with a summary that communicates who your client is and why they reached out to you.
• Like in the other case study examples, you’ll want to close out with a quantitative list of your achievements.

16. " NetApp ," by Evisort

Evisort opens up its NetApp case study with an at-a-glance overview of the client. It’s imperative to always focus on the client in your case study — not on your amazing product and equally amazing team. By opening up with a snapshot of the client’s company, Evisort places the focus on the client.

This case study example checks all the boxes for a great case study that’s informative, thorough, and compelling. It includes quotes from the client and details about the challenges NetApp faced during the COVID pandemic. It closes out with a quote from the client and with a link to download the case study in PDF format, which is incredibly important if you want your case study to be accessible in a wider variety of formats.

Key Learnings from the Evisort Example

• Place the focus immediately on your client by including a snapshot of their company.
• Mention challenging eras, such as a pandemic or recession, to show how your company can help your client succeed even during difficult times.

17. " Copernicus Land Monitoring – CLC+ Core ," by Cloudflight

Including highly specialized information in your case study is an effective way to show prospects that you’re not just trying to get their business. You’re deep within their industry, too, and willing to learn everything you need to learn to create a solution that works specifically for them.

Cloudflight does a splendid job at that in its Copernicus Land Monitoring case study. While the information may be difficult to read at first glance, it will capture the interest of prospects who are in the environmental industry. It thus shows Cloudflight’s value as a partner much more effectively than a general case study would.

The page is comprehensive and ends with a compelling call-to-action — "Looking for a solution that automates, and enhances your Big Data system? Are you struggling with large datasets and accessibility? We would be happy to advise and support you!" The clean, whitespace-heavy page is an effective example of using a case study to capture future leads.

Key Learnings from the Cloudflight Case Study Example

• Don’t be afraid to get technical in your explanation of what you did for your client.
• Include a snapshot of the sales representative prospects should contact, especially if you have different sales reps for different industries, like Cloudflight does.

18. " Valvoline Increases Coupon Send Rate by 76% with Textel’s MMS Picture Texting ," by Textel

If you’re targeting large enterprises with a long purchasing cycle, you’ll want to include a wealth of information in an easily transferable format. That’s what Textel does here in its PDF case study for Valvoline. It greets the user with an eye-catching headline that shows the value of using Textel. Valvoline saw a significant return on investment from using the platform.

Another smart decision in this case study is highlighting the client’s quote by putting it in green font and doing the same thing for the client’s results because it helps the reader quickly connect the two pieces of information. If you’re in a hurry, you can also take a look at the "At a Glance" column to get the key facts of the case study, starting with information about Valvoline.

Key Learnings from the Textel Case Study Example

• Include your client’s ROI right in the title of the case study.
• Add an "At a Glance" column to your case study PDF to make it easy to get insights without needing to read all the text.

19. " Hunt Club and Happeo — a tech-enabled love story ," by Happeo

In this blog-post-like case study, Happeo opens with a quote from the client, then dives into a compelling heading: "Technology at the forefront of Hunt Club's strategy." Say you’re investigating Happeo as a solution and consider your firm to be technology-driven. This approach would spark your curiosity about why the client chose to work with Happeo. It also effectively communicates the software’s value proposition without sounding like it’s coming from an in-house marketing team.

Every paragraph is a quote written from the customer’s perspective. Later down the page, the case study also dives into "the features that changed the game for Hunt Club," giving Happeo a chance to highlight some of the platform’s most salient features.

Key Learnings from the Happeo Case Study Example

• Consider writing the entirety of the case study from the perspective of the customer.
• Include a list of the features that convinced your client to go with you.

20. " Red Sox Season Campaign ," by CTP Boston

What's great about CTP's case study page for their Red Sox Season Campaign is their combination of video, images, and text. A video automatically begins playing when you visit the page, and as you scroll, you'll see more embedded videos of Red Sox players, a compilation of print ads, and social media images you can click to enlarge.

At the bottom, it says "Find out how we can do something similar for your brand." The page is clean, cohesive, and aesthetically pleasing. It invites viewers to appreciate the well-roundedness of CTP's campaign for Boston's beloved baseball team.

Key Learnings from the CTP Case Study Example

• Include a video in the heading of the case study.
• Close with a call-to-action that makes leads want to turn into prospects.

21. " Acoustic ," by Genuine

Sometimes, simple is key. Genuine's case study for Acoustic is straightforward and minimal, with just a few short paragraphs, including "Reimagining the B2B website experience," "Speaking to marketers 1:1," and "Inventing Together." After the core of the case study, we then see a quote from Acoustic’s CMO and the results Genuine achieved for the company.

The simplicity of the page allows the reader to focus on both the visual aspects and the copy. The page displays Genuine's brand personality while offering the viewer all the necessary information they need.

• You don’t need to write a lot to create a great case study. Keep it simple.
• Always include quantifiable data to illustrate the results you achieved for your client.

22. " Using Apptio Targetprocess Automated Rules in Wargaming ," by Apptio

Apptio’s case study for Wargaming summarizes three key pieces of information right at the beginning: The goals, the obstacles, and the results.

Readers then have the opportunity to continue reading — or they can walk away right then with the information they need. This case study also excels in keeping the human interest factor by formatting the information like an interview.

The piece is well-organized and uses compelling headers to keep the reader engaged. Despite its length, Apptio's case study is appealing enough to keep the viewer's attention. Every Apptio case study ends with a "recommendation for other companies" section, where the client can give advice for other companies that are looking for a similar solution but aren’t sure how to get started.

Key Learnings from the Apptio Case Study Example

• Put your client in an advisory role by giving them the opportunity to give recommendations to other companies that are reading the case study.
• Include the takeaways from the case study right at the beginning so prospects quickly get what they need.

23. " Airbnb + Zendesk: building a powerful solution together ," by Zendesk

Zendesk's Airbnb case study reads like a blog post, and focuses equally on Zendesk and Airbnb, highlighting a true partnership between the companies. To captivate readers, it begins like this: "Halfway around the globe is a place to stay with your name on it. At least for a weekend."

The piece focuses on telling a good story and provides photographs of beautiful Airbnb locations. In a case study meant to highlight Zendesk's helpfulness, nothing could be more authentic than their decision to focus on Airbnb's service in such great detail.

Key Learnings from the Zendesk Case Study Example

• Include images of your client’s offerings — not necessarily of the service or product you provided. Notice how Zendesk doesn’t include screenshots of its product.
• Include a call-to-action right at the beginning of the case study. Zendesk gives you two options: to find a solution or start a trial.

24. " Biobot Customer Success Story: Rollins College, Winter Park, Florida ," by Biobot

Like some of the other top examples in this list, Biobot opens its case study with a quote from its client, which captures the value proposition of working with Biobot. It mentions the COVID pandemic and goes into detail about the challenges the client faced during this time.

This case study is structured more like a news article than a traditional case study. This format can work in more formal industries where decision-makers need to see in-depth information about the case. Be sure to test different methods and measure engagement .

Key Learnings from the Biobot Case Study Example

• Mention environmental, public health, or economic emergencies and how you helped your client get past such difficult times.
• Feel free to write the case study like a normal blog post, but be sure to test different methods to find the one that best works for you.

25. " Discovering Cost Savings With Efficient Decision Making ," by Gartner

You don't always need a ton of text or a video to convey your message — sometimes, you just need a few paragraphs and bullet points. Gartner does a fantastic job of quickly providing the fundamental statistics a potential customer would need to know, without boggling down their readers with dense paragraphs. The case study closes with a shaded box that summarizes the impact that Gartner had on its client. It includes a quote and a call-to-action to "Learn More."

Key Learnings from the Gartner Case Study Example

• Feel free to keep the case study short.
• Include a call-to-action at the bottom that takes the reader to a page that most relates to them.

26. " Bringing an Operator to the Game ," by Redapt

This case study example by Redapt is another great demonstration of the power of summarizing your case study’s takeaways right at the start of the study. Redapt includes three easy-to-scan columns: "The problem," "the solution," and "the outcome." But its most notable feature is a section titled "Moment of clarity," which shows why this particular project was difficult or challenging.

The section is shaded in green, making it impossible to miss. Redapt does the same thing for each case study. In the same way, you should highlight the "turning point" for both you and your client when you were working toward a solution.

Key Learnings from the Redapt Case Study Example

• Highlight the turning point for both you and your client during the solution-seeking process.
• Use the same structure (including the same headings) for your case studies to make them easy to scan and read.

27. " Virtual Call Center Sees 300% Boost In Contact Rate ," by Convoso

Convoso’s PDF case study for Digital Market Media immediately mentions the results that the client achieved and takes advantage of white space. On the second page, the case study presents more influential results. It’s colorful and engaging and closes with a spread that prompts readers to request a demo.

Key Learnings from the Convoso Case Study Example

• List the results of your work right at the beginning of the case study.
• Use color to differentiate your case study from others. Convoso’s example is one of the most colorful ones on this list.

28. " Ensuring quality of service during a pandemic ," by Ericsson

Ericsson’s case study page for Orange Spain is an excellent example of using diverse written and visual media — such as videos, graphs, and quotes — to showcase the success a client experienced. Throughout the case study, Ericsson provides links to product and service pages users might find relevant as they’re reading the study.

For instance, under the heading "Preloaded with the power of automation," Ericsson mentions its Ericsson Operations Engine product, then links to that product page. It closes the case study with a link to another product page.

Key Learnings from the Ericsson Case Study Example

• Link to product pages throughout the case study so that readers can learn more about the solution you offer.
• Use multimedia to engage users as they read the case study.

Start creating your case study.

Now that you've got a great list of examples of case studies, think about a topic you'd like to write about that highlights your company or work you did with a customer.

A customer’s success story is the most persuasive marketing material you could ever create. With a strong portfolio of case studies, you can ensure prospects know why they should give you their business.

Editor's note: This post was originally published in August 2018 and has been updated for comprehensiveness.

Don't forget to share this post!

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Home » Case Study – Methods, Examples and Guide

Case Study – Methods, Examples and Guide

Table of Contents

A case study is a research method that involves an in-depth examination and analysis of a particular phenomenon or case, such as an individual, organization, community, event, or situation.

It is a qualitative research approach that aims to provide a detailed and comprehensive understanding of the case being studied. Case studies typically involve multiple sources of data, including interviews, observations, documents, and artifacts, which are analyzed using various techniques, such as content analysis, thematic analysis, and grounded theory. The findings of a case study are often used to develop theories, inform policy or practice, or generate new research questions.

Types of Case Study

Types and Methods of Case Study are as follows:

Single-Case Study

A single-case study is an in-depth analysis of a single case. This type of case study is useful when the researcher wants to understand a specific phenomenon in detail.

For Example , A researcher might conduct a single-case study on a particular individual to understand their experiences with a particular health condition or a specific organization to explore their management practices. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a single-case study are often used to generate new research questions, develop theories, or inform policy or practice.

Multiple-Case Study

A multiple-case study involves the analysis of several cases that are similar in nature. This type of case study is useful when the researcher wants to identify similarities and differences between the cases.

For Example, a researcher might conduct a multiple-case study on several companies to explore the factors that contribute to their success or failure. The researcher collects data from each case, compares and contrasts the findings, and uses various techniques to analyze the data, such as comparative analysis or pattern-matching. The findings of a multiple-case study can be used to develop theories, inform policy or practice, or generate new research questions.

Exploratory Case Study

An exploratory case study is used to explore a new or understudied phenomenon. This type of case study is useful when the researcher wants to generate hypotheses or theories about the phenomenon.

For Example, a researcher might conduct an exploratory case study on a new technology to understand its potential impact on society. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as grounded theory or content analysis. The findings of an exploratory case study can be used to generate new research questions, develop theories, or inform policy or practice.

Descriptive Case Study

A descriptive case study is used to describe a particular phenomenon in detail. This type of case study is useful when the researcher wants to provide a comprehensive account of the phenomenon.

For Example, a researcher might conduct a descriptive case study on a particular community to understand its social and economic characteristics. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of a descriptive case study can be used to inform policy or practice or generate new research questions.

Instrumental Case Study

An instrumental case study is used to understand a particular phenomenon that is instrumental in achieving a particular goal. This type of case study is useful when the researcher wants to understand the role of the phenomenon in achieving the goal.

For Example, a researcher might conduct an instrumental case study on a particular policy to understand its impact on achieving a particular goal, such as reducing poverty. The researcher collects data from multiple sources, such as interviews, observations, and documents, and uses various techniques to analyze the data, such as content analysis or thematic analysis. The findings of an instrumental case study can be used to inform policy or practice or generate new research questions.

Case Study Data Collection Methods

Here are some common data collection methods for case studies:

Interviews involve asking questions to individuals who have knowledge or experience relevant to the case study. Interviews can be structured (where the same questions are asked to all participants) or unstructured (where the interviewer follows up on the responses with further questions). Interviews can be conducted in person, over the phone, or through video conferencing.

Observations

Observations involve watching and recording the behavior and activities of individuals or groups relevant to the case study. Observations can be participant (where the researcher actively participates in the activities) or non-participant (where the researcher observes from a distance). Observations can be recorded using notes, audio or video recordings, or photographs.

Documents can be used as a source of information for case studies. Documents can include reports, memos, emails, letters, and other written materials related to the case study. Documents can be collected from the case study participants or from public sources.

Surveys involve asking a set of questions to a sample of individuals relevant to the case study. Surveys can be administered in person, over the phone, through mail or email, or online. Surveys can be used to gather information on attitudes, opinions, or behaviors related to the case study.

Artifacts are physical objects relevant to the case study. Artifacts can include tools, equipment, products, or other objects that provide insights into the case study phenomenon.

How to conduct Case Study Research

Conducting a case study research involves several steps that need to be followed to ensure the quality and rigor of the study. Here are the steps to conduct case study research:

• Define the research questions: The first step in conducting a case study research is to define the research questions. The research questions should be specific, measurable, and relevant to the case study phenomenon under investigation.
• Select the case: The next step is to select the case or cases to be studied. The case should be relevant to the research questions and should provide rich and diverse data that can be used to answer the research questions.
• Collect data: Data can be collected using various methods, such as interviews, observations, documents, surveys, and artifacts. The data collection method should be selected based on the research questions and the nature of the case study phenomenon.
• Analyze the data: The data collected from the case study should be analyzed using various techniques, such as content analysis, thematic analysis, or grounded theory. The analysis should be guided by the research questions and should aim to provide insights and conclusions relevant to the research questions.
• Draw conclusions: The conclusions drawn from the case study should be based on the data analysis and should be relevant to the research questions. The conclusions should be supported by evidence and should be clearly stated.
• Validate the findings: The findings of the case study should be validated by reviewing the data and the analysis with participants or other experts in the field. This helps to ensure the validity and reliability of the findings.
• Write the report: The final step is to write the report of the case study research. The report should provide a clear description of the case study phenomenon, the research questions, the data collection methods, the data analysis, the findings, and the conclusions. The report should be written in a clear and concise manner and should follow the guidelines for academic writing.

Examples of Case Study

Here are some examples of case study research:

• The Hawthorne Studies : Conducted between 1924 and 1932, the Hawthorne Studies were a series of case studies conducted by Elton Mayo and his colleagues to examine the impact of work environment on employee productivity. The studies were conducted at the Hawthorne Works plant of the Western Electric Company in Chicago and included interviews, observations, and experiments.
• The Stanford Prison Experiment: Conducted in 1971, the Stanford Prison Experiment was a case study conducted by Philip Zimbardo to examine the psychological effects of power and authority. The study involved simulating a prison environment and assigning participants to the role of guards or prisoners. The study was controversial due to the ethical issues it raised.
• The Challenger Disaster: The Challenger Disaster was a case study conducted to examine the causes of the Space Shuttle Challenger explosion in 1986. The study included interviews, observations, and analysis of data to identify the technical, organizational, and cultural factors that contributed to the disaster.
• The Enron Scandal: The Enron Scandal was a case study conducted to examine the causes of the Enron Corporation’s bankruptcy in 2001. The study included interviews, analysis of financial data, and review of documents to identify the accounting practices, corporate culture, and ethical issues that led to the company’s downfall.
• The Fukushima Nuclear Disaster : The Fukushima Nuclear Disaster was a case study conducted to examine the causes of the nuclear accident that occurred at the Fukushima Daiichi Nuclear Power Plant in Japan in 2011. The study included interviews, analysis of data, and review of documents to identify the technical, organizational, and cultural factors that contributed to the disaster.

Application of Case Study

Case studies have a wide range of applications across various fields and industries. Here are some examples:

Business and Management

Case studies are widely used in business and management to examine real-life situations and develop problem-solving skills. Case studies can help students and professionals to develop a deep understanding of business concepts, theories, and best practices.

Case studies are used in healthcare to examine patient care, treatment options, and outcomes. Case studies can help healthcare professionals to develop critical thinking skills, diagnose complex medical conditions, and develop effective treatment plans.

Case studies are used in education to examine teaching and learning practices. Case studies can help educators to develop effective teaching strategies, evaluate student progress, and identify areas for improvement.

Social Sciences

Case studies are widely used in social sciences to examine human behavior, social phenomena, and cultural practices. Case studies can help researchers to develop theories, test hypotheses, and gain insights into complex social issues.

Law and Ethics

Case studies are used in law and ethics to examine legal and ethical dilemmas. Case studies can help lawyers, policymakers, and ethical professionals to develop critical thinking skills, analyze complex cases, and make informed decisions.

Purpose of Case Study

The purpose of a case study is to provide a detailed analysis of a specific phenomenon, issue, or problem in its real-life context. A case study is a qualitative research method that involves the in-depth exploration and analysis of a particular case, which can be an individual, group, organization, event, or community.

The primary purpose of a case study is to generate a comprehensive and nuanced understanding of the case, including its history, context, and dynamics. Case studies can help researchers to identify and examine the underlying factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and detailed understanding of the case, which can inform future research, practice, or policy.

Case studies can also serve other purposes, including:

• Illustrating a theory or concept: Case studies can be used to illustrate and explain theoretical concepts and frameworks, providing concrete examples of how they can be applied in real-life situations.
• Developing hypotheses: Case studies can help to generate hypotheses about the causal relationships between different factors and outcomes, which can be tested through further research.
• Providing insight into complex issues: Case studies can provide insights into complex and multifaceted issues, which may be difficult to understand through other research methods.
• Informing practice or policy: Case studies can be used to inform practice or policy by identifying best practices, lessons learned, or areas for improvement.

Advantages of Case Study Research

There are several advantages of case study research, including:

• In-depth exploration: Case study research allows for a detailed exploration and analysis of a specific phenomenon, issue, or problem in its real-life context. This can provide a comprehensive understanding of the case and its dynamics, which may not be possible through other research methods.
• Rich data: Case study research can generate rich and detailed data, including qualitative data such as interviews, observations, and documents. This can provide a nuanced understanding of the case and its complexity.
• Holistic perspective: Case study research allows for a holistic perspective of the case, taking into account the various factors, processes, and mechanisms that contribute to the case and its outcomes. This can help to develop a more accurate and comprehensive understanding of the case.
• Theory development: Case study research can help to develop and refine theories and concepts by providing empirical evidence and concrete examples of how they can be applied in real-life situations.
• Practical application: Case study research can inform practice or policy by identifying best practices, lessons learned, or areas for improvement.
• Contextualization: Case study research takes into account the specific context in which the case is situated, which can help to understand how the case is influenced by the social, cultural, and historical factors of its environment.

Limitations of Case Study Research

There are several limitations of case study research, including:

• Limited generalizability : Case studies are typically focused on a single case or a small number of cases, which limits the generalizability of the findings. The unique characteristics of the case may not be applicable to other contexts or populations, which may limit the external validity of the research.
• Biased sampling: Case studies may rely on purposive or convenience sampling, which can introduce bias into the sample selection process. This may limit the representativeness of the sample and the generalizability of the findings.
• Subjectivity: Case studies rely on the interpretation of the researcher, which can introduce subjectivity into the analysis. The researcher’s own biases, assumptions, and perspectives may influence the findings, which may limit the objectivity of the research.
• Limited control: Case studies are typically conducted in naturalistic settings, which limits the control that the researcher has over the environment and the variables being studied. This may limit the ability to establish causal relationships between variables.
• Time-consuming: Case studies can be time-consuming to conduct, as they typically involve a detailed exploration and analysis of a specific case. This may limit the feasibility of conducting multiple case studies or conducting case studies in a timely manner.
• Resource-intensive: Case studies may require significant resources, including time, funding, and expertise. This may limit the ability of researchers to conduct case studies in resource-constrained settings.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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How to Define Your Case Study Strategy (And Why You Need One)

Unfortunately, few companies have a defined customer case study strategy in place.

Often, they’ll just identify a good customer or project (“This would make a great case study!”) and then fly at it.

If they get that case study done, they may eventually turn to another good candidate and repeat the process.

And that’s as far as it goes.

But when you take this piecemeal approach, and overlook the strategy piece, you may run into the following problems:

• You struggle to get customers to agree to participate in your case study
• You get agreement but then struggle to find the right people to interview
• You feel weird asking because the engagement is over and done with
• You completed one (or maybe two) case studies but the rest have stalled
• Your completed case studies focus on a solution or industry you’re trying to transition away from
• All your case studies are over a year old
• Your case studies are relegated to some sad part of your website.

You don’t want to plunge in without a plan.

Instead, start by developing a strategy to guide your efforts and keep the case study train going.

Developing Your Case Study Strategy

So how do you develop a case study strategy?

You start by asking these three questions BEFORE you get the customer on the phone:

Question #1: What is your goal?

Are you trying to promote a certain service? Drive a certain type of lead? Upsell part of your offering?

You need to know your main purpose before you start.

Question #2: Whom are you targeting?

Not all positions are the same. The pressures a CEO and CMO face are different than the pressures faced by someone in IT.

You need to know who you’re selling to because you want them to see themselves in the story.

After all, case studies are human stories . They’re not really about the company.

They’re about how you helped the people within the company succeed and reach their objectives.

Case studies are human stories. They’re not really about the company.

Question #3: how will you use them.

Will you relegate your case studies to the resources section of your website? (Hopefully not.)

Will you put them on your blog? Use them in outreach? Arm your sales team with them?

You need to know HOW you will use your case studies because that will influence the case study format and how you put them together.

Figure out the story you want to tell

Once you’ve asked yourself these questions, you can go deeper into figuring out the kind of stories you want to tell.

If you’re trying to promote a particular service , for example, you’ll want to speak with a customer who’s gone through the experience of implementing that service.

If you’re trying to promote a particular service within a particular industry , you’ll want to speak with a customer who’s implemented that service in that industry.

Or maybe you want to show leads that you solved a particular challenge within that industry with that service.

Or maybe you want to appeal to a particular role within that industry who implemented that particular service.

As you can see, you can define your “ideal” case study candidate by many factors, drilling down from service, to industry, to challenge, to role:

By considering all of these layers, you can figure out who on your client roster can give you the story you want.

Tip: Talk to your sales team

A possible shortcut in this kind of analysis is to talk to your sales team.

Salespeople need case studies like oxygen. They’re the most persuasive asset they have to close deals.

Customer success stories are the most persuasive asset your sales team has to close deals.

Your sales team will know the kinds of stories they need to share with leads and the most common problems and pushback.

So rather than huddling with your marketing team to develop your strategy , bring your sales team into the conversation.

The stories you tell will be the stories you attract

One last key point: The stories you tell will be the stories you attract.

If all of your case studies tell the story of how small accounting firms have used your software to grow, you will attract small accounting firms that want to use your software to grow.

Which is a problem if you want to attract bigger accounting firms, for example.

So think carefully about the stories you want to tell and plan accordingly.

Define your case study strategy BEFORE you start

It’s easy to overlook the strategy piece in your excitement to get started, but it’s super important.

Creating customer case studies isn’t easy. It takes time and resources to do well.

So when you do it, you want to make sure you’re doing it right.

Want our team to create those case studies for you—and help with the strategy piece?

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Based in Vancouver, Canada, Holly is pumped to tell stories of companies succeeding and doing good in the world.

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Who has the best case studies for AI solutions? B2B buyers’ heads are spinning with the opportunities that AI makes possible. But in a noisy, technical space where hundreds of new AI solutions and use cases are popping up overnight, many buyers don’t know how to navigate these opportunities—or who they can trust. Your customers are as skeptical as they are excited, thinking… “I’m confused by the complexity of your technology.” “I’m unsure whether there’s clear ROI.” “I’m concerned about...

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When it comes to case studies, cybersecurity poses special challenges.  The cybersecurity landscape is saturated with solutions—and so sales and marketing teams have never been hungrier for customer success stories they can share as proof of their product’s abilities. But cybersecurity clients are very reluctant to be featured. They don’t want to talk about the time they almost got hacked, they don’t want to disclose the details of their setup and risk more attacks, and they just plain don’t want...

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Strategic Planning: Case Studies

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Instructor: Mike Figliuolo

Have you ever wanted to see strategic planning frameworks applied to real situations? Would you find it helpful to see an integrated strategic case study for an organization like yours? Go more deeply into the strategic planning process by diving into three real-world cases studies. Join instructor Mike Figliuolo as he shares examples from a consumer goods business, a professional services company, and a nonprofit organization. For each case he shares five key aspects of the strategy planning process: defining the strategic environment, determining how to compete, evaluating and prioritizing opportunities, assessing the initiative portfolio, and organizing and allocating resources. Use these thorough examples to think through how you would apply strategic planning to your own organization.

Artificial intelligence in strategy

Can machines automate strategy development? The short answer is no. However, there are numerous aspects of strategists’ work where AI and advanced analytics tools can already bring enormous value. Yuval Atsmon is a senior partner who leads the new McKinsey Center for Strategy Innovation, which studies ways new technologies can augment the timeless principles of strategy. In this episode of the Inside the Strategy Room podcast, he explains how artificial intelligence is already transforming strategy and what’s on the horizon. This is an edited transcript of the discussion. For more conversations on the strategy issues that matter, follow the series on your preferred podcast platform .

Joanna Pachner: What does artificial intelligence mean in the context of strategy?

Yuval Atsmon: When people talk about artificial intelligence, they include everything to do with analytics, automation, and data analysis. Marvin Minsky, the pioneer of artificial intelligence research in the 1960s, talked about AI as a “suitcase word”—a term into which you can stuff whatever you want—and that still seems to be the case. We are comfortable with that because we think companies should use all the capabilities of more traditional analysis while increasing automation in strategy that can free up management or analyst time and, gradually, introducing tools that can augment human thinking.

Joanna Pachner: AI has been embraced by many business functions, but strategy seems to be largely immune to its charms. Why do you think that is?

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Yuval Atsmon: You’re right about the limited adoption. Only 7 percent of respondents to our survey about the use of AI say they use it in strategy or even financial planning, whereas in areas like marketing, supply chain, and service operations, it’s 25 or 30 percent. One reason adoption is lagging is that strategy is one of the most integrative conceptual practices. When executives think about strategy automation, many are looking too far ahead—at AI capabilities that would decide, in place of the business leader, what the right strategy is. They are missing opportunities to use AI in the building blocks of strategy that could significantly improve outcomes.

I like to use the analogy to virtual assistants. Many of us use Alexa or Siri but very few people use these tools to do more than dictate a text message or shut off the lights. We don’t feel comfortable with the technology’s ability to understand the context in more sophisticated applications. AI in strategy is similar: it’s hard for AI to know everything an executive knows, but it can help executives with certain tasks.

When executives think about strategy automation, many are looking too far ahead—at AI deciding the right strategy. They are missing opportunities to use AI in the building blocks of strategy.

Joanna Pachner: What kind of tasks can AI help strategists execute today?

Yuval Atsmon: We talk about six stages of AI development. The earliest is simple analytics, which we refer to as descriptive intelligence. Companies use dashboards for competitive analysis or to study performance in different parts of the business that are automatically updated. Some have interactive capabilities for refinement and testing.

The second level is diagnostic intelligence, which is the ability to look backward at the business and understand root causes and drivers of performance. The level after that is predictive intelligence: being able to anticipate certain scenarios or options and the value of things in the future based on momentum from the past as well as signals picked in the market. Both diagnostics and prediction are areas that AI can greatly improve today. The tools can augment executives’ analysis and become areas where you develop capabilities. For example, on diagnostic intelligence, you can organize your portfolio into segments to understand granularly where performance is coming from and do it in a much more continuous way than analysts could. You can try 20 different ways in an hour versus deploying one hundred analysts to tackle the problem.

Predictive AI is both more difficult and more risky. Executives shouldn’t fully rely on predictive AI, but it provides another systematic viewpoint in the room. Because strategic decisions have significant consequences, a key consideration is to use AI transparently in the sense of understanding why it is making a certain prediction and what extrapolations it is making from which information. You can then assess if you trust the prediction or not. You can even use AI to track the evolution of the assumptions for that prediction.

Those are the levels available today. The next three levels will take time to develop. There are some early examples of AI advising actions for executives’ consideration that would be value-creating based on the analysis. From there, you go to delegating certain decision authority to AI, with constraints and supervision. Eventually, there is the point where fully autonomous AI analyzes and decides with no human interaction.

Because strategic decisions have significant consequences, you need to understand why AI is making a certain prediction and what extrapolations it’s making from which information.

Joanna Pachner: What kind of businesses or industries could gain the greatest benefits from embracing AI at its current level of sophistication?

Yuval Atsmon: Every business probably has some opportunity to use AI more than it does today. The first thing to look at is the availability of data. Do you have performance data that can be organized in a systematic way? Companies that have deep data on their portfolios down to business line, SKU, inventory, and raw ingredients have the biggest opportunities to use machines to gain granular insights that humans could not.

Companies whose strategies rely on a few big decisions with limited data would get less from AI. Likewise, those facing a lot of volatility and vulnerability to external events would benefit less than companies with controlled and systematic portfolios, although they could deploy AI to better predict those external events and identify what they can and cannot control.

Third, the velocity of decisions matters. Most companies develop strategies every three to five years, which then become annual budgets. If you think about strategy in that way, the role of AI is relatively limited other than potentially accelerating analyses that are inputs into the strategy. However, some companies regularly revisit big decisions they made based on assumptions about the world that may have since changed, affecting the projected ROI of initiatives. Such shifts would affect how you deploy talent and executive time, how you spend money and focus sales efforts, and AI can be valuable in guiding that. The value of AI is even bigger when you can make decisions close to the time of deploying resources, because AI can signal that your previous assumptions have changed from when you made your plan.

Joanna Pachner: Can you provide any examples of companies employing AI to address specific strategic challenges?

Yuval Atsmon: Some of the most innovative users of AI, not coincidentally, are AI- and digital-native companies. Some of these companies have seen massive benefits from AI and have increased its usage in other areas of the business. One mobility player adjusts its financial planning based on pricing patterns it observes in the market. Its business has relatively high flexibility to demand but less so to supply, so the company uses AI to continuously signal back when pricing dynamics are trending in a way that would affect profitability or where demand is rising. This allows the company to quickly react to create more capacity because its profitability is highly sensitive to keeping demand and supply in equilibrium.

Joanna Pachner: Given how quickly things change today, doesn’t AI seem to be more a tactical than a strategic tool, providing time-sensitive input on isolated elements of strategy?

Yuval Atsmon: It’s interesting that you make the distinction between strategic and tactical. Of course, every decision can be broken down into smaller ones, and where AI can be affordably used in strategy today is for building blocks of the strategy. It might feel tactical, but it can make a massive difference. One of the world’s leading investment firms, for example, has started to use AI to scan for certain patterns rather than scanning individual companies directly. AI looks for consumer mobile usage that suggests a company’s technology is catching on quickly, giving the firm an opportunity to invest in that company before others do. That created a significant strategic edge for them, even though the tool itself may be relatively tactical.

Joanna Pachner: McKinsey has written a lot about cognitive biases  and social dynamics that can skew decision making. Can AI help with these challenges?

Yuval Atsmon: When we talk to executives about using AI in strategy development, the first reaction we get is, “Those are really big decisions; what if AI gets them wrong?” The first answer is that humans also get them wrong—a lot. [Amos] Tversky, [Daniel] Kahneman, and others have proven that some of those errors are systemic, observable, and predictable. The first thing AI can do is spot situations likely to give rise to biases. For example, imagine that AI is listening in on a strategy session where the CEO proposes something and everyone says “Aye” without debate and discussion. AI could inform the room, “We might have a sunflower bias here,” which could trigger more conversation and remind the CEO that it’s in their own interest to encourage some devil’s advocacy.

We also often see confirmation bias, where people focus their analysis on proving the wisdom of what they already want to do, as opposed to looking for a fact-based reality. Just having AI perform a default analysis that doesn’t aim to satisfy the boss is useful, and the team can then try to understand why that is different than the management hypothesis, triggering a much richer debate.

In terms of social dynamics, agency problems can create conflicts of interest. Every business unit [BU] leader thinks that their BU should get the most resources and will deliver the most value, or at least they feel they should advocate for their business. AI provides a neutral way based on systematic data to manage those debates. It’s also useful for executives with decision authority, since we all know that short-term pressures and the need to make the quarterly and annual numbers lead people to make different decisions on the 31st of December than they do on January 1st or October 1st. Like the story of Ulysses and the sirens, you can use AI to remind you that you wanted something different three months earlier. The CEO still decides; AI can just provide that extra nudge.

Joanna Pachner: It’s like you have Spock next to you, who is dispassionate and purely analytical.

Yuval Atsmon: That is not a bad analogy—for Star Trek fans anyway.

Joanna Pachner: Do you have a favorite application of AI in strategy?

Yuval Atsmon: I have worked a lot on resource allocation, and one of the challenges, which we call the hockey stick phenomenon, is that executives are always overly optimistic about what will happen. They know that resource allocation will inevitably be defined by what you believe about the future, not necessarily by past performance. AI can provide an objective prediction of performance starting from a default momentum case: based on everything that happened in the past and some indicators about the future, what is the forecast of performance if we do nothing? This is before we say, “But I will hire these people and develop this new product and improve my marketing”— things that every executive thinks will help them overdeliver relative to the past. The neutral momentum case, which AI can calculate in a cold, Spock-like manner, can change the dynamics of the resource allocation discussion. It’s a form of predictive intelligence accessible today and while it’s not meant to be definitive, it provides a basis for better decisions.

Joanna Pachner: Do you see access to technology talent as one of the obstacles to the adoption of AI in strategy, especially at large companies?

Yuval Atsmon: I would make a distinction. If you mean machine-learning and data science talent or software engineers who build the digital tools, they are definitely not easy to get. However, companies can increasingly use platforms that provide access to AI tools and require less from individual companies. Also, this domain of strategy is exciting—it’s cutting-edge, so it’s probably easier to get technology talent for that than it might be for manufacturing work.

The bigger challenge, ironically, is finding strategists or people with business expertise to contribute to the effort. You will not solve strategy problems with AI without the involvement of people who understand the customer experience and what you are trying to achieve. Those who know best, like senior executives, don’t have time to be product managers for the AI team. An even bigger constraint is that, in some cases, you are asking people to get involved in an initiative that may make their jobs less important. There could be plenty of opportunities for incorpo­rating AI into existing jobs, but it’s something companies need to reflect on. The best approach may be to create a digital factory where a different team tests and builds AI applications, with oversight from senior stakeholders.

The big challenge is finding strategists to contribute to the AI effort. You are asking people to get involved in an initiative that may make their jobs less important.

Joanna Pachner: Do you think this worry about job security and the potential that AI will automate strategy is realistic?

Yuval Atsmon: The question of whether AI will replace human judgment and put humanity out of its job is a big one that I would leave for other experts.

The pertinent question is shorter-term automation. Because of its complexity, strategy would be one of the later domains to be affected by automation, but we are seeing it in many other domains. However, the trend for more than two hundred years has been that automation creates new jobs, although ones requiring different skills. That doesn’t take away the fear some people have of a machine exposing their mistakes or doing their job better than they do it.

Joanna Pachner: We recently published an article about strategic courage in an age of volatility  that talked about three types of edge business leaders need to develop. One of them is an edge in insights. Do you think AI has a role to play in furnishing a proprietary insight edge?

Yuval Atsmon: One of the challenges most strategists face is the overwhelming complexity of the world we operate in—the number of unknowns, the information overload. At one level, it may seem that AI will provide another layer of complexity. In reality, it can be a sharp knife that cuts through some of the clutter. The question to ask is, Can AI simplify my life by giving me sharper, more timely insights more easily?

Joanna Pachner: You have been working in strategy for a long time. What sparked your interest in exploring this intersection of strategy and new technology?

Yuval Atsmon: I have always been intrigued by things at the boundaries of what seems possible. Science fiction writer Arthur C. Clarke’s second law is that to discover the limits of the possible, you have to venture a little past them into the impossible, and I find that particularly alluring in this arena.

AI in strategy is in very nascent stages but could be very consequential for companies and for the profession. For a top executive, strategic decisions are the biggest way to influence the business, other than maybe building the top team, and it is amazing how little technology is leveraged in that process today. It’s conceivable that competitive advantage will increasingly rest in having executives who know how to apply AI well. In some domains, like investment, that is already happening, and the difference in returns can be staggering. I find helping companies be part of that evolution very exciting.

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What EU Deforestation Regulation compliance readiness looks like

In this webcast, panelists discuss effective compliance and reporting readiness actions for EUDR, case studies and broader strategic considerations.

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With the EU Deforestation Regulation (EUDR), the European Union (EU) aims to ensure certain products and commodities imported, traded within or exported from the EU have not led to deforestation or forest degradation, and have been produced in compliance with the legislation of the country of origin.

As of 30 December 2024, impacted businesses are required to provide due diligence statements verifying the ‘deforestation-free’ and legality status of commodities and products in scope. Products in scope are: cattle, beef and leather, cocoa beans, cocoa shells, cocoa mass, cocoa butter and chocolate; coffee, beans, husks; palm oil, nuts and seeds; rubber and rubber products; soybeans, bean flour and bean oil; wood, furniture, cellulose and paper (full list can be found in Annex I of the regulation).

Topics discussed include:

• EUDR overview, data requirements, reporting obligations and timeline
• Immediate steps for impacted businesses to take considering traceability challenges
• Practical case studies on how businesses are preparing for EUDR
• Strategic and operational considerations in the broader ESG regulatory context

A second webcast covered potential supply chain challenges and opportunities related to EUDR. Watch the replay here.

Michelle T. Davies

EY Global Sustainability Legal Services Leader; Partner, Law, Ernst & Young LLP

Linn Anker-Sørensen

EY Global Sustainable Finance Law and Regulation Leader

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What Is Strategy?

• Michael E. Porter

Today’s dynamic markets and technologies have called into question the sustainability of competitive advantage. Under pressure to improve productivity, quality, and speed, managers have embraced tools such as TQM, benchmarking, and re-engineering. Dramatic operational improvements have resulted, but rarely have these gains translated into sustainable profitability. And gradually, the tools have taken the place of strategy. In his five-part article, Michael Porter explores how that shift has led to the rise of mutually destructive competitive battles that damage the profitability of many companies. As managers push to improve on all fronts, they move further away from viable competitive positions. Porter argues that operational effectiveness, although necessary to superior performance, is not sufficient, because its techniques are easy to imitate. In contrast, the essence of strategy is choosing a unique and valuable position rooted in systems of activities that are much more difficult to match. Porter thus traces the economic basis of competitive advantage down to the level of the specific activities a company performs. Using cases such as Ikea and Vanguard, he shows how making trade-offs among activities is critical to the sustainability of a strategy. Whereas managers often focus on individual components of success such as core competencies or critical resources, Porter shows how managing fit across all of a company’s activities enhances both competitive advantage and sustainability. While stressing the role of leadership in making and enforcing clear strategic choices, Porter also offers advice on how companies can reconnect with strategies that have become blurred over time.

For starters, it’s not the same as operational effectiveness.

For almost two decades, managers have been learning to play by a new set of rules. Companies must be flexible to respond rapidly to competitive and market changes. They must benchmark continuously to achieve best practice. They must outsource aggressively to gain efficiencies. And they must nurture a few core competencies in race to stay ahead of rivals.

• Michael E. Porter is the Bishop William Lawrence University Professor at Harvard Business School. He has served as an adviser to governments and campaigns around the world on the advancement of social policy and economic policy, including Mitt Romney’s presidential campaign. His latest paper is  The Role of Business in Society . He is an academic adviser to the Leadership Now Project.

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Biological response to Przewalski’s horse reintroduction in native desert grasslands: a case study on the spatial analysis of ticks

• Yu Zhang 1   na1 ,
• Jiawei Liu 1   na1 ,
• Ke Zhang 2 ,
• Anqi Wang 1 ,
• Duishan Sailikebieke 3 ,
• Zexin Zhang 4 ,
• Tegen Ao 5 ,
• Liping Yan 1 ,
• Dong Zhang 1 ,
• Kai Li 1 &
• Heqing Huang 6  

BMC Ecology and Evolution volume  24 , Article number:  61 ( 2024 ) Cite this article

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Reintroduction represents an effective strategy for the conservation of endangered wildlife, yet it might inadvertently impact the native ecosystems. This investigation assesses the impact of reintroducing endangered Przewalski's horses into the desert grassland ecosystem of the Kalamaili Nature Reserve (KNR), particularly its effect on the spatial distribution of ticks. In a 25 km 2 core area of Przewalski's horse distribution, we set up 441 tick sampling sites across diverse habitats, including water sources, donkey trails, and grasslands, recording horse feces and characteristics to analyze the occurrence rate of ticks. Additionally, we gathered the data of 669 fresh feces of horses. To evaluate the spatial dynamics between these feces and ticks, we used methods such as Fixed Kernel Estimation (FKE), Moran’s I spatial autocorrelation index, and Generalized Linear Models (GLM).

The dominant species of ticks collected in the core area were adult Hyalomma asiaticum (91.36%). Their occurrence rate was higher near donkey trails (65.99%) and water sources (55.81%), particularly in areas with the fresh feces of Przewalski's horses. The ticks’ three risk areas, as defined by FKE, showed significant overlap and positive correlation with the distribution of Przewalski's horses, with respective overlap rates being 90.25% in high risk, 33.79% in medium risk, and 23.09% in low risk areas. Moran's I analysis revealed a clustering trend of the fresh feces of Przewalski's horses in these areas. The GLM confirmed a positive correlation between the distribution of H. asiaticum and the presence of horse fresh feces, alongside a negative correlation with the proximity to water sources and donkey trails.

Conclusions

This study reveals the strong spatial correlation between Przewalski's horses and H. asiaticum in desert grasslands, underlining the need to consider interspecific interactions in wildlife reintroductions. The findings are crucial for shaping effective strategies of wildlife conservation and maintaining ecological balance.

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Desert grassland ecosystems are a critical component of terrestrial ecosystems, harboring unique communities of flora and fauna adapted to extreme arid conditions [ 1 , 2 ]. Nonetheless, the ungulates in these ecosystems, serving as pivotal species for maintaining ecological balance, are confronting a series of challenges including habitat loss and climate change [ 3 , 4 ]. In this context, endangered species reintroduction stands as one of the effective measures for the restoration and preservation of desert grassland ecosystems, as well as for augmenting their biodiversity [ 2 , 5 , 6 ]. The successful reintroduction of the Przewalski’s horse into the Kalamaili Nature Reserve (KNR) in Xinjiang, China, serves as a quintessential example of this practice [ 7 , 8 ]. The KNR is located at the southern edge of the Junggar Basin in northwestern China, characterized by an arid climate and infrequent rainfall, leading to the formation of a unique Central Asian continental desert grassland biota [ 8 , 9 ]. Since 2001, the population of Przewalski's horses in the region has experienced substantial growth, escalating from 27 to 230 by the year 2019 [ 8 , 9 , 10 ]. This resurgence of this population in the KNR provides us with a unique opportunity to explore the responses of related species following the reintroduction of large ungulates into their native ecosystems.

However, as an introduced species, the reintroduction of Przewalski's horses could potentially give rise to some unforeseen ecological consequences, especially regarding the impact on parasite dynamics [ 10 , 11 , 12 ]. In response, a specialized team undertakes annual monitoring of parasitic diseases within the Przewalski’s horses [ 10 , 12 , 13 , 14 ]. It was discovered that the Przewalski's horses in the KNR are heavily infected with the obligate parasite, Gasterophilus spp. [ 10 , 14 ], with infection intensity more than double that found in the sympatric Mongolian wild ass ( E. hemionus ) [ 13 ]. The research team initially aimed to study the transmission patterns of the myiasis disease by tracking and examining the feces of Przewalski's horses, as the larvae of these Gasterophilus spp. tend to burrow into the soil within 5 min after the horse's defecation [ 10 , 11 , 12 , 13 , 14 ]. However, in recent investigations, we inadvertently found that ticks frequently appeared near the feces of the Przewalski's horses, which sparked our interest in studying the spatial distribution relationship between Przewalski's horses’ feces and ticks. Additionally, during the peak season of tick activity in spring and summer [ 15 , 16 ], we incidentally discovered the Hyalomma asiaticum (Acari: Ixodidae) parasitizing on the abdomen of deceased Przewalski's horses (Fig. S1), and also fortuitously encountered naturally detached and engorged adult H. asiaticum near the Przewalski's horse dung piles (Fig. S2). These observations not only corroborate the hypothesis that Przewalski's horses could serve as potential new hosts for H. asiaticum but also provide important clues into the interactions between hosts and parasites in the KNR.

H. asiaticum , a tick prevalent in arid desert regions, poses a direct threat to host animals through biting, leading to conditions such as inflammation and anemia [ 17 , 18 , 19 , 20 ]. It also plays a crucial role in the transmission of various diseases, including Crimean-Congo Hemorrhagic Fever (also known as Xinjiang Hemorrhagic Fever locally) and Rickettsial diseases, among others [ 21 , 22 ]. Being a three-host parasitic tick, H. asiaticum progresses through a life cycle consisting of four stages: egg, larva, nymph, and adult [ 15 ]. Parasitism occurs in the stages after the egg, with immature H. asiaticum ticks predominantly parasitizing small rodents, and adults typically attaching to large ungulates such as horses, cattle, and sheep [ 23 , 24 , 25 , 26 , 27 ]. Ticks generally employ two strategies to seek hosts: the ambush strategy and the hunter strategy. In the ambush strategy, ticks usually position themselves on the top of plants or rocks, waiting for hosts to pass by. Conversely, in the hunter strategy, ticks move through the environment, actively seeking out hosts by detecting carbon dioxide released by the hosts and following trails of the hosts’ excreta [ 28 , 29 ]. H. asiaticum are typical hunter type ticks, as they conceal themselves in the surrounding environment and actively wait to attack passing hosts [ 15 , 28 , 30 ]. Notably, the adult H. asiaticum in the unfed state, while actively seeking host animals, not only demonstrate a strong preference towards large ungulate hosts but also amplify the risk of disease transmission during this process [ 15 , 18 ]. Hence, understanding and monitoring the distribution of ticks at this specific life stage is paramount for the efficacious prevention and management of the pervasive transmission of tick-borne diseases in the KNR.

The water sources in arid and desert regions, along with their adjacent areas, are vital habitats for wildlife [ 31 , 32 ]. In the KNR, the Przewalski's horses exhibit unique seasonal behaviors. In the spring and summer, they frequently travel along designated paths, known as 'donkey trails' [ 11 ], to reach water sources. They tend to congregate around these water sources and the adjacent grasslands, showing a pronounced propensity to cluster more notably than other ungulate species such as the Mongolian wild ass ( E. hemionus ) and the Goose-throated gazelle ( Gazella subgutturosa ) [ 7 , 11 , 33 ]. This behavioral pattern does not only highlight the attraction of water sources for Przewalski’s horses but also presents potential opportunities for the local parasite populations to spread [ 11 , 12 ]. Although there is a notable correlation between the spatial distribution of wildlife and parasites [ 11 , 12 , 29 , 34 , 35 ], studies specifically examined the relationship between the distribution of Przewalski’s horses and parasites are comparatively limited [ 11 , 12 ]. A previous study revealed that areas within a 300 m radius surrounding water sources, nortably high density of Przewalski's horse feces were observed [ 11 ]. Furthermore, there is a positive correlation between the density of Przewalski's horse feces and the spatial distribution of the Gasterophilus spp. [ 11 , 12 ]. This further confirms the significance of water sources and their surrounding areas as principal locales for the interaction between Przewalski's horses and potential parasites. Moreover, a prior report indicated that before the reintroduction of Przewalski's horses into the KNR, large-scale tick infestations were not observed [ 16 ]. However, this historical absence of infestations does not rule out the potential for these horses to experience health challenges when reintroduced, as they may lack natural immunity or the ability to adapt to local parasites [ 11 , 12 , 13 ]. For instance, a decade after elk ( Cervus canadensis ) were reintroduced to southeastern Kentucky, USA, the distribution of local ticks became more widespread [ 36 ]. Similarly, in Japan, as populations of sika deer ( C. nippon ) and wild boar ( Sus scrofa ) increased, the distribution of the Haemaphysalis ticks changed, potentially increasing the transmission of the pathogen causing tick-borne diseases [ 37 ]. These findings highlight the importance of monitoring changes in local ticks distribution following reintroduction of wildlife [ 38 , 39 ]. Therefore, this study focused on the Przewalski's horses and the ticks, conducted systematic surveys of typical habitats for horses in the KNR, including water sources, grasslands, and donkey trails. It incorporates the activity patterns of Przewalski's horses to thoroughly examine the spatial distribution relationship between host and parasite. The study aims to analyze the risk areas of ticks in the core distribution areas of Przewalski's horses. This study will provide a comprehensive assessment of whether reintroduced animals have expanded the distribution range of parasites, thereby offering a new perspective on understanding the synergistic adaptation of reintroduced species with related species in their new environment.

Research area

The KNR (88°30’ ~ 90°03’E, 40°36’ ~ 46°00’N) is located in the Junggar Basin of Xinjiang, China (Fig.  1 ), and is a typical arid and semi-arid desert grassland. The reserve has scarce water resources, with an annual precipitation of only about 159 mm [ 10 , 40 ]. The composition of plant communities is relatively simple, featuring an average coverage of 20 to 30%, primarily consisting of xerophytic shrubs and herbs, such as Ceratoides spp., Tamarix spp., Haloxylon spp., Anabasis spp., and Reaumuria spp. [ 40 ]. Among them, the Hong Liu, Xiao, No.6 are key water sources within the region [ 11 , 12 ]. Przewalski’s horses primarily depend on these water sources for their distribution, whereas other wildlife, including the E. hemionus and the G. subgutturosa , have a broad distribution throughout the entire reserve [ 7 , 12 , 31 , 40 ]. Based on this context, this study was conducted during the season when is the peak of H. asiaticum activity from April to June 2021 [ 20 , 41 ], focusing primarily on the spatial utilization patterns of Przewalski’s horses and their impact on the distribution of ticks. The research was centered around three water sources, designating a 25 km 2 area as the study area, which also constitutes the core habitat of Przewalski’s horses (Fig.  1 ).

Tick sampling sites in Kalamaili Nature Reserve (KNR). Note: The left section delineates the three types of study habitats, namely, donkey trails, water sources, and grasslands; the center displays the distribution map of the sampling sites of ticks; the right section represents the study area

Research method

Ticks sampling sites’ survey.

Tick sampling sites were set up across three types of typical habitats: water sources, donkey trails, and grasslands, and the specific sampling method is shown in Fig. S3. In each habitat, based on the frequency of Przewalski’s horses’ activities, three types of dung piles were randomly selected for tick collection: stallion feces, non-stallion feces and no feces (Fig. S4). Stallion feces are generally higher than the feces of non-stallions because stallions repeatedly defecate in the same location, forming larger mounds. Conversely, non-stallion defecation behavior tends to be more random, usually occurring just once at various locations, resulting in smaller dung piles.

Arid desert regions are mainly covered with small shrubs. In such environments, ticks typically adopt an active waiting and attacking strategy for survival [ 28 , 30 ].

Therefore, to ensure consistency in the sampling process, we limited time at each tick sampling site to 5 min, employing the 'waiting for ticks' method as referenced by Yu et al. [ 16 ]. The specific procedure involved shaking the ground with sticks in areas with Tamarix spp. and Haloxylon spp. to attract and collect non-engorged ticks [ 16 , 28 , 30 ]. Concurrently, each sampling site was centered within a defined area of 2 m × 2 m, thereby maintaining an effective sampling area of 4 m 2 . Using the “Create Buffer” and “Create Fishnet Tool” in ArcGIS 10.3, buffer zones were delineated, extending 100 m from the three water sources perimeters and 10 m along the donkey trails. Additionally, the grassland area was segmented into a grid pattern, each cell measuring 500 m × 500 m. The collected data were stored in KML format and subsequently imported into a GPS device (eTrex309x, Garmin Ltd., Olathe) to precisely locate the sampling sites for efficient field collection. Furthermore, at the sampling sites where dung piles were present, we conducted detailed measurements of each dung pile’s characteristics. The dimensions of the dung piles (length × width × height in cm) were recorded using a tape measure. The moisture content of these dung piles was assessed using a soil moisture meter (PR-ECTH-SC-37DC, Pruisen brand Ltd., China) with an accuracy of ± 2% RH. Based on these readings, moisture levels were classified into two categories: low moisture (0 ~ 15% RH) and high moisture (15 ~ 30%RH). This classification approach is based on previous experience and is consistent with the fecal moisture classification standards found in the literature [ 42 , 43 ].

The classification and identification of the ticks, along with the tallying of their numbers and other pertinent details, were carried out in the laboratory. Using a SZ51 stereomicroscope equipped with LED lighting / SZ2-ILST (Olympus corporation, Tokyo, Japan), we scrutinized the distinguishing features of the ticks, which encompassed the dorsal surface, ventral surface, eye, basis capituli, scutum, porose area, spiracle plate, marginal groove, and genital groove [ 44 , 45 , 46 ].

Przewalski’s horses’ spatial distribution survey

The distribution and density of wildlife feces are reliable indicators of spatial utilization in designated areas [ 40 , 47 , 48 ]. For data collection, we tracked Przewalski’s horses, and recorded the GPS coordinates of fresh feces after the horses had departed from the area. Our survey encompassed 8 herds, comprising a total of 60 reintroduced horses [ 12 ]. The study area included frequently visited water sources and grasslands in the KNR, enveloping the same 20km 2 area also surveyed for ticks [ 12 ].

Data analysis

The occurrence rate of h. asiaticum under different conditions.

Formula ( 1 ), \({P}_{ij}\) represents the occurrence rate of ticks under different conditions, \({N}_{ij}\) is the number of sampling sites with ticks under different conditions, \({M}_{ij}\) is the total number of sampling sites under different conditions. \(i\) is water source, donkey trail, grassland, and \(j\) is stallion-feces, non-stallion-feces and no-feces.

Analysis of H. asiaticum occurrence rate and Przewalski’s Horse Dung Parameters

Given the observed higher occurrence rates of H. asiaticum near the dung piles of Przewalski’s horses, this study investigates the influence of the dung piles’ physical characteristics (size and moisture) on the occurrence rate of the H. asiaticum . Dung pile size parameters include three key dimensions: pile height (cm), bottom area (cm 2 ), and volume (cm 3 ). Concurrently, the moisture content of the dung piles is categorized into two levels: low moisture (0 ~ 15% RH) and high moisture (15 ~ 30%RH). For maintaining consistency and ensuring comparability among variables, the variables were standardized using the Z-score function from the R package scale. The relationship between the number of the H. asiaticum and dung pile size was analyzed through Pearson correlation analysis. A correlation coefficient (r) approaching 1 indicates a stronger correlation. T-tests were used to compare the size differences of dung piles with and without the presence of the H. asiaticum , using p  < 0.05*, p  < 0.01**, and p  < 0.001*** as thresholds to ascertain the levels of statistical significance. By calculating the occurrence rates of the H. asiaticum at different moisture levels, this study visually presents the results using bar graphs. The plotting was conducted utilizing the ‘ggplot2’ package in R.

Risk area analysis of the H. asiaticum

Based on the analysis results from the occurrence rates of the H. asiaticum , this study selected the GPS locations where the H. asiaticum was found. Additionally, by referencing to the GPS locations of Przewalski’s horses fresh dung piles reported in Zhang et al. [ 12 ], a comprehensive assessment of the spatial distribution relationship between the H. asiaticum and the horse fresh feces. These data underwent preprocessing using the R packages ‘sp’, ‘sf’, and ‘tidyverse’, which included data cleaning and standardization to ensure accuracy and consistency. The R package ‘adehabitatHR’ was utilized to calculate the 95% Minimum Convex Polygon (MCP) for the fresh feces of Przewalski’s horses, establishing their distribution within the 25 km 2 study area (Formula 2 ). The definition of risk areas is based on Fixed Kernel Estimation (FKE) to categorize the distribution of ticks into high, medium, and low risk levels. Specifically, 50% FKE is used to define high risk areas, 75% FKE for medium risk areas, and 95% FKE for low risk areas (Formula 3 ). This classification reflects the occurrence rate of H. asiaticum within the study area. The Intersect module in the Arctoolbox of ArcGIS 10.3 software was employed to evaluate the spatial overlap between the distribution of Przewalski’s horses and the three risk areas of the H. asiaticum .

MCP calculation formula:

Formula ( 2 ), S is the area, and \({x}_{i}\) and \({y}_{i}\) are the latitude and longitude.

FKE calculation formula:

Formula ( 3 ), n represents the number of ticks, h is the bandwidth, and \({dist}_{i}\) represents the distance between the point i and the geographical coordinates.

Spatial autocorrelation analysis

Drawing from the findings of the risk area analysis of the H. asiaticum , this study conducted a bivariate spatial autocorrelation analysis of the spatial distribution of horse fresh feces within the three risk areas. We employed the nearest neighbor method to create spatial weight matrices and used these matrices to calculate the Cross Moran’s I index for each area [ 49 , 50 ]. This index aims to evaluate the degree of clustering between the horse fresh feces and the risk distribution areas of the H. asiaticum . Specifically, the Moran’s I value approaching 1 indicates a high level of clustering of horse fresh feces in the area, while values close to 0 suggest a weaker spatial association with horse fresh feces.

Kernel density estimation and multiscale correlation analysis

The spatial density of the Przewalski’s horse fresh feces and the H. asiaticum was calculated using Kernel Density Estimation (KDE) in the Spatial Analyst module of ArcGIS 10.3 (Formula 4 ). In this study, a uniform pixel value of 20 and a search radius of 500 m [ 12 ], were configured to precisely evaluate the correlation between the Przewalski’s horse fresh feces and the H. asiaticum across multiple scales. Five scales, 100 m, 250 m, 500 m, 750 m, and 1000 m (Fig. S5), were selected for conducting Pearson correlation analysis. We used ArcGIS 10.3 to construct grids corresponding to the five scales and to generate a central representative point for each grid. Based on the KDE layers of the H. asiaticum and Przewalski’s horse fresh feces, we extracted the raster attribute values for each point at every scale. The three risk areas of tick distribution were used as a backdrop for intersection processing. Ultimately, the ‘cor’ function in R was applied to perform Pearson correlation analysis between the attribute values of the H. asiaticum and the fresh feces from Przewalski’s horses at each scale within each risk area.

KDE calculation formula:

In formula ( 4 ), R represents the search radius, \({pop}_{i}\) represents the number of ticks or horses’ fresh feces at point i, and \({dist}_{i}\) represents the distance between the point i and the geographical coordinates.

Generalized linear model analysis

Based on the results of multiscale correlation analysis, this study selected the 100 m scale and used the Generalized Linear Model (GLM) to accurately evaluate the impact of Przewalski’s horses and external environmental factors on the H. asiaticum . Using the nearest neighbor analysis tool in ArcGIS 10.3, we conducted nearest neighbor analysis on the three water sources and donkey trails. This analysis facilitated the identification of two crucial parameters: the nearest distance to water sources and the nearest distance to donkey trails. Before constructing the GLM, to ensure the model's accuracy and stability, we conducted multicollinearity diagnostics using the Variance Inflation Factor (VIF). The VIF for each explanatory variable was calculated using the 'car' package in R. If VIF ≥ 5, variables were excluded from the model. By constructing a GLM model with the ‘glm’ function in R, we set the attribute values of the H. asiaticum at the 100 m scale as the response variable, while considering the attribute values of fresh feces of Przewalski’s horses, the nearest distance to water sources, and the nearest distance to donkey trails as explanatory variables.

The ticks sampling sites survey results

During the peak period of ticks, this study encompassed 441sampling sites. Among these, the 219 sampling sites (49.66%) found unfed state adult ticks. A cumulative count of 301 host-seeking ticks was collected, with 275 being H. asiaticum (91.36%),identified across all 219 sites. In addition, 14 Dcrmacentor nuttalli were collected from 4 sampling sites (4.65%), and 12 Rhipicephalus microplus were found across 3 sampling sites (3.99%). The detailed statistics regarding species identification and distribution are presented in Table S1.

The occurrence rate of H. asiaticum

Given that H. asiaticum is the predominant species in this region and is present at all tick sampling sites, this study conducted an in-depth analysis of the spatial distribution of the H. asiaticum . The occurrence rates of the H. asiaticum under different habitats are as follows: donkey trail (65.99%) > water source (55.81%) > grassland (39.04%). Moreover, regions with a high frequency of Przewalski’s horse distribution also exhibit elevated occurrence rates of H. asiaticum , characterized by the following sequence: stallion-feces (70.06%) > non-stallion-feces (51.67%) > no-feces (25.97%). In the following sites, the occurrence rate of H. asiaticum exceeded 50%: stallion feces at water source (77.27%) > stallion feces at donkey trail (72.88%) > non-stallion feces at grassland (53.41%) > stallion feces at grassland (51.85%) > non-stallion feces at donkey trail (50.00%) (Table  1 ).

H. asiaticum occurrence rate and Przewalski’s horse dung parameters

Pearson correlation analysis demonstrated a positive correlation between the size of Przewalski’s horse feces and the number of the H. asiaticum . The correlation coefficients are as follows: fecal height ( r (287)  = 0.401, P  < 0.001), fecal bottom area ( r (287)  = 0.328, P  < 0.001), fecal volume ( r (287)  = 0.369, P  < 0.001). The T-test analysis revealed that the H. asiaticum prefer to conceal themselves near larger piles of Przewalski’s horse feces (Fig.  2 ). Specifically, stallion feces showed significant differences in the height (t (167)  = 3.659, P  < 0.001), bottom area (t (167)  = 2.752, P  < 0.001), and volume (t (167)  = 3.846, P  < 0.001), while non-stallion-feces only showed significant difference in height (t (120)  = 3.000, P  < 0.01).

The T-test analysis of Przewalski's horses fecal size differences in presence and absence of H. asiaticum

The study found that the fresher the Przewalski’s horse feces, the higher the occurrence rate of the H. asiaticum , and the occurrence rates of ticks near stallion feces is generally higher than near non-stallion feces (Fig.  3 ). The occurrence rates of the H. asiaticum was distributed as follows: high humidity of stallion feces (94.29%) > high humidity of non-stallion feces (77.27%) > low humidity of stallion feces (63.64%) > low humidity of non-stallion feces (45.92%).

The correlation between humidity of Przewalski's horse feces and the occurrence rate of H. asiaticum

Three risk area of H. asiaticum

This analysis used the data from 219 sampling sites of ticks and the 669 locations of Przewalski's horse fresh feces. (Fig.  4 a, b). The area covered by fresh feces from Przewalski's horses in the survey region was determined to be 14.31 km 2 , as calculated by the 95% MCP method (Fig.  4 a). We categorized the risk areas for H. asiaticum into high, medium, and low categories based on 50% FKE, 75% FKE, and 95% FKE thresholds. Subsequent analysis revealed a positive correlation between the risk levels of ticks and the overlap rate with the distribution of Przewalski's horse (Table  2 ). Specifically, the high-risk area for H. asiaticum was 8.00 km 2 , of which 90.25% overlapped with the distribution of Przewalski's horses, covering an area of 7.22 km 2 (Fig.  4 b, Table  2 ); the medium-risk area was 7.04 km 2 , with 33.79% overlap rate, overlap area covering 4.80 km 2 (Fig.  4 b, Table  2 ); and the low-risk area was 9.96 km 2 , with 23.09% overlap rate, overlap area covering 2.30 km 2 (Fig.  4 b, Table  2 ).

Distribution of Przewalski’s horse fresh feces and H. asiaticum . a Distribution area of Przewalski’s horse fresh feces. b Three risk areas of H. asiaticum . c Kernel Density Estimation (KDE) distribution of fresh feces from Przewalski’s horses. d KDE distribution of H. asiaticum

Spatial autocorrelation index Moran's I of H. asiaticum and Przewalski's horse fresh feces

In the three designated risk areas, we observed that the distribution of H. asiaticum and horse fresh feces exhibited an extremely high degree of spatial autocorrelation, with Moran's I values approaching 1 (Table  3 ). The Z-score values further substantiated the statistical significance of this aggregation pattern, thereby greatly diminishing the probability of a random distribution ( P  < 0.001). In the high-risk area, Moran's I value was 0.998 (Z = 16.499, P  < 0.001) and similarly, in the medium-risk area, Moran's I was also 0.998 (Z = 8.968, P  < 0.001). This indicates a very strong spatial clustering of H. asiaticum and horse fresh feces in both high and medium-risk areas. In the low-risk area, the Moran's I value was slightly lower at 0.994 (Z = 8.335, P  < 0.001), still indicating a significant spatial aggregation trend of H. asiaticum and horse fresh feces (Table  3 ).

Kernel density estimation and multiscale correlation analysis of H. asiaticum and Przewalski's horse fresh feces

The KDE analysis indicated that the distribution of fresh feces from Przewalski's horses is predominantly concentrated to the north of major water sources, including HongLiu and No. 6 (Fig.  4 c). Similarly, H. asiaticum were also predominantly found in the areas near these water sources (Fig.  4 d). To quantify the correlation between H. asiaticum and horse fresh feces at different scales, this study conducted Pearson correlation analysis at distances at distances of 100 m, 250 m, 500 m, 750 m, and 1000 m (Table  4 ). The specific distribution sites at these five scales are presented in Fig. S5. At the 100 m scale, a positive correlated was observed across all risk areas, with the strength of the correlation diminishing in the order of high, medium, and low. This suggests that the presence of horse fresh feces may be more closely correlation with the distribution of H. asiaticum at smaller spatial scales. However, at larger scales such as 500 m, 750 m, and 1000 m, the variability in correlations indicates that factors other than horse fresh feces could be influencing the distribution of H. asiaticum , particularly noted in the negative correlations observed in medium-risk areas at 500 m and 1000 m scales (Table  4 ).

Comprehensive analysis using generalized linear model

In this study, we used a GLM to unveil the significant correlations between the distribution of H. asiaticum and three pivotal factors: the distribution of the horse fresh feces; nearest distance to water sources; nearest distance to donkey trails (Table  5 ). The multicollinearity analysis results show that the VIF for the horse fresh feces is 1.134, for the nearest distance to water sources is 1.048, and for the nearest distance to donkey trails is 1.143. The VIF values of these three variables are close to 1, indicating almost no linear correlation between them, making them suitable as explanatory variables in the GLM. The intercept of the GLM is 13.536 (T = 44.170, P  < 0.001). Notably, the distribution of fresh feces from Przewalski’s horses showed a significant positive correlation with the distribution of H. asiaticum (T = 27.980, P  < 0.001), suggesting that accumulations of horse feces can attract the ticks. Conversely, the proximity to water sources exhibited a negative correlation with the tick distribution (T = -14.940, P  < 0.001), similar to the proximity to donkey trails (T = -25.630, P  < 0.001), indicating that closer proximity to water sources and donkey trails increases the likelihood of encountering H. asiaticum (Table  5 ).

This study aims to delve into the impact of the reintroduction of Przewalski’s horses on the parasites in the desert grassland ecosystem of the KNR, with a focus on analyzing the influence of their distribution patterns on H. asiaticum . The reintroduction of Przewalski’s horses, an endangered species, not only represents a crucial measure for biodiversity conservation but also significantly affects the structure of the local parasitic community, which has been confirmed by previous studies [ 10 , 11 , 12 ]. Although the primary intent of reintroduction is to protect or restore ecosystems, it may result in unintended consequences [ 38 , 39 , 51 ]. This study is the first to identify a positive correlation between the distribution of Przewalski’s horse feces and the spatial distribution patterns of the H. asiaticum , providing new insights into the mechanisms by which the reintroduction of Przewalski’s horses impacts the parasites in desert grassland ecosystems. This finding is consistent with studies from other regions regarding the relationship between reintroduced species and ticks. For example, in Kentucky, reintroduced elk have turned into hosts for various ticks, potentially expanding their distribution [ 36 ]. Similarly, in Japan, an increase in the population of wildlife has coincided with an increase of ticks [ 37 ]. Therefore, this study points out that even introducing animals for conservation purposes could inadvertently facilitate the spread of ticks and their pathogen carriers [ 36 , 37 ].

The occurrence rates of the H. asiaticum and its relationship with Przewalski’s horse feces constitute the central focus of this study. Previous research has revealed that host feces significantly impact the spatial distribution of parasites [ 12 , 52 , 53 ], evidenced by the parasites’ inclination to gather in the areas proximate to the host’s feces [ 11 , 12 , 15 ]. In light of this context, and considering the tendency of Przewalski’s horses in the KNR to congregate in family units [ 7 , 12 , 54 ], as well as the proactive host-seeking behavior of H. asiaticum [ 15 ], this study posits that zones where Przewalski’s horses frequently defecate are more likely to encounter ticks in an unfed state. This hypothesis was supported by field data indicating that the H. asiaticum was found significantly more frequently in proximity to the Przewalski’s horse feces than in areas without feces. Subsequent analysis elucidated a positive correlation between the size and freshness of the horse feces and the occurrence rates of the H. asiaticum . This phenomenon suggests that Przewalski’s horse feces may provide an important survival environment for the H. asiaticum [ 55 , 56 ]. Significantly, this spatial association is not limited to the H. asiaticum , other studies have also shown that zones of frequent defecation by Przewalski’s horses are considered high-risk for obligate parasites such as horse stomach flies [ 10 , 11 , 12 ]. These findings highlight the necessity of integrating a comprehensive consideration of the multifaceted impacts of reintroducing endangered species on other species within local ecosystems when formulating biodiversity conservation strategies and ecosystem management measures.

In ecological research, animal feces are considered a valuable ecological indicator for discerning their behavioral patterns and spatial distribution [ 47 , 48 ]. Previous studies have confirmed a substantial correlation between the distribution of ungulates and ticks, as exemplified by the findings of Qviller et al. [ 47 ], who discovered a tight spatial association between the distribution of the red deer and the Ixodes ricinis in Norway. Similarly, Schulze et al. [ 57 ] observed a close relationship between the distribution of the white-tailed deer and the Amblyomus ticks in America. However, due to the numerous challenges of field surveys and the limitations in data collection, this study prefers to use fresh feces as an indirect indicator of Przewalski's horses’ activity range. The H. asiaticum , an ectoparasite that actively seeks hosts based on host scent [ 15 , 28 , 30 ], examining the distribution of Przewalski's horse fecal feces can better illustrate the spatial correlation between the host animals and ticks. Furthermore, initial investigations in this study found a relatively high prevalence of ticks near fresh feces of Przewalski's horses, confirming that data on fresh feces from synchronized surveys can serve as an indirect indicator of the spatial association between Przewalski's horses and the H. asiaticum.

Przewalski's horses have a social structure based on family groups, typically consisting of one stallion, three to four mares, and their foals [ 9 , 58 ]. Different genders of Przewalski's horses may display unique activity patterns and territorial marking behaviors, leading to their feces containing different chemical information [ 32 , 43 , 59 ], which could affect their attractiveness to ticks and influence tick distribution. In this study, fecal samples were differentiated by observing that stallions and non-stallions defecate in different locations. Specifically, mares and foals tend to defecate randomly on grasslands, whereas stallions prefer to repeatedly defecate in the central areas of their family group’s territory [ 54 , 58 ]. The results showed a higher probability of ticks near stallion feces than feces of the non-stallions, with the larger feces showing a higher occurrence rate of ticks. This suggests that the spatial distribution of ticks in this region may be related to the volume of Przewalski's horse feces and their gender-specific behaviors.

This finding provides a basis for future research on how gender difference in Przewalski's horses could influence tick distribution. Moreover, the widespread E. hemionus and G. subgutturosa in the reserve exhibit a more dispersed distribution due to their lower dependency on water and higher alertness, leading to the observation of typically drier feces [ 60 , 61 ], which are less suitable for tick spatial distribution studies. According to Zhang et al. [ 12 ] and Huang et al. [ 11 ], fresh feces of these species are rare in our study area, thus their direct impact on the study results is limited. This supports the study's focus on Przewalski's horses, an endangered reintroduced species, and largely excludes the impact of other local wildlife in the study area on the spatial distribution of ticks.

Before the reintroduction of the Przewalski’s horses, the KNR had not shown a high correlation between the distribution of ungulates and ticks [ 16 ]. Research suggests that post-reintroduction, the increased density of host feces from Przewalski's horses may have amplified the spread and reproduction of parasite populations, thereby accelerated the transmission patterns of parasites and potentially altered the ecological chain relationships between local hosts and parasites [ 12 ]. Therefore, this research focuses on analyzing the distribution relationship between the Przewalski's horses and the H. asiaticum , and it quantifies the risk levels of H. asiaticum in the surveyed area. The MCP algorithm was deployed to estimate the distribution area of Przewalski's horses. Although a 100% MCP can include all GPS sites, it may overestimate the area due to extreme points [ 62 ]. Consequently, a 95% MCP was chosen to exclude the impact of extreme points. This method is in line with methods previously employed by researchers to determine the home range of Przewalski's horses [ 7 , 62 ]. The FKE method enhances the MCP by smoothing the distribution area calculation through correcting extreme points [ 12 , 63 ] For this study, 50% FKE, 75% FKE, and 95% FKE were utilized as thresholds to delineate high, medium, and low-risk areas, respectively, in order to quantify the risk areas of the H. asiaticum . Through analysis of the overlap rates, it was observed that areas with the fresh feces form the Przewalski's horses overlap with high-risk areas for the H. asiaticum by more than 90%. This suggests that Przewalski's horses are consistently exposed to tick-infested environments within their activity areas. Moreover, high-risk areas frequently correspond with areas where Przewalski's horses are commonly active and defecate, which aligns with our conclusions drawn from spatial autocorrelation analysis. These methods of analysis approaches allow us to reveal the spatial relationship between the distribution of the H. asiaticum and horse fresh feces, indicating that the tick distribution is not random but closely related to the spatial distribution of horse fresh feces.

The water sources and grasslands are crucial factors for the survival of ungulate species in arid and desert regions [ 31 , 40 ]. The strong reliance of Przewalski’s horses on these water sources often directs their frequent use of donkey trails near these areas, consequently resulting in more severe occurrences of the H. asiaticum in such areas [ 11 , 12 , 31 ]. Grassland areas, being vital habitats for wild ungulates, may exhibit a comparatively lower presence of ticks. This phenomenon could be due to Przewalski’s horses lingering and being active over extended periods in these areas [ 32 ], leading to a higher number of the H. asiaticum successfully attaching to the horses. Therefore, by focusing the analysis on three factors associated with a higher occurrence rate of ticks — the presence of fresh Przewalski's horse feces, proximity to water sources, and closeness to trails used by donkeys — we can more effectively assess the impact of hosts and ticks distribution. To address potential multicollinearity among these variables, VIF values were calculated and found to be below 5, signifying an absence of significant multicollinearity. This indicates that these factors can serve as independent explanatory variables in the model. This study employed a combination of KDE and GLM to comprehensively analyze the spatial association between fresh feces of Przewalski’s horses and the H. asiaticum across various habitats. The KDE method revealed a significant spatial correlation between the H. asiaticum and fresh feces of Przewalski’s horses within a 100 m scale, conforming to the established criteria for categorizing areas into high, medium, and low risk levels [ 47 , 63 , 64 , 65 ]. The GLM analysis further indicated that the distribution of the H. asiaticum is positively correlated with the presence of fresh feces from Przewalski’s horses. Moreover, it revealed a negative correlation with the proximity to water sources and donkey trails. This implies that the higher the abundance of fresh feces from Przewalski’s horses, and the closer the proximity to water sources and donkey trails, the higher the probability of the distribution of the H. asiaticum . This not only intensifies the threat of the H. asiaticum in these regions but also exposes other wildlife species, including the Mongolian wild ass and the goose-throated gazelle, which visit these water sources to drink, to increased risks of parasitic infestations [ 31 , 33 ]. Due to the unique digestive system of Przewalski’s horse, it is highly dependent on water sources during the spring and summer tick peak period [ 10 , 16 , 33 ]. Long-term gathering near water sources may lead to the risk of infestation with the H. asiaticum in these areas, which will affect the success rate of its reintroduction process and aggravate the expansion of tick-borne diseases in the desert steppe ecosystem [ 12 , 31 , 33 ].

The reintroduction of wild animals often results in them feeling unfamiliar with their post-release environment, leading to more limited spatial movement [ 8 , 9 , 51 , 66 ]. As the reintroduction process in the KNR region advances, the increasing activity range of Przewalski’s horses may result in the spread of parasites to wider areas, posing a potential threat to the health of other local species [ 7 , 10 , 12 ]. Furthermore, due to the reintroduced species may lack sufficient resistance to endemic parasites, which could lead to more severe infestations compared to other species [ 51 ]. This study using the reintroduction of Przewalski’s horses in the KNR as a case study, provides insights for scholars and managers. It emphasizes that when Przewalski’s horses establish a stable presence in an area, it invariably affects the local parasitic situation [ 11 , 12 ]. While Przewalski's horses fall victim to parasitic infections, their presence also transforms the area into the high-risk areas for parasites [ 12 ]. The purpose of reintroduction is to protect endangered species or associated species to maintain their population levels. However, concentrating solely on population growth without considering the stability of the entire ecosystem can disturb the local ecology. In extreme cases, this may impact the health and survival activities of wildlife in the entire region [ 51 , 67 , 68 , 69 ]. Therefore, through this study, we suggest that relevant departments, when formulating reintroduction policies, should comprehensively consider and assess the impact of new animal introductions on ecosystems. They should implement measures to mitigate these potential problems, such as setting tick traps in the animals’ active areas to monitor and manage parasite transmission and creating additional water sources to decrease the animals’ density. These measures could indirectly control parasite spread, improve living conditions for the Przewalski's horses, and reduce potential risk of spillover and spillback of zoonotic diseases.

With the reintroduction of the endangered Przewalski's horses to the KNR, there has been a sustained increase in both its population size and the frequency of their activities within its habitat. This developing trend of species reintroduction, aimed at maintaining biodiversity, may potentially disturb the established ecological balance between hosts and parasites in local ecosystems. Additionally, it could inadvertently lead to the introduction of other non-native species or disease vectors, further complicating ecological interactions. This study has found that the spatial utilization characteristics of Przewalski's horses in this region would have a significant impact on the distribution of the H. asiaticum . The horses' marked reliance on particular habitats, like water sources and donkey trails, leads to a heightened density of the H. asiaticum . This not only escalates the risk of parasitic infestation risk for the horses themselves but also presents a potential threat to other wildlife reliant on the same water sources. Additionally, the potential absence of immunity to local parasites in the reintroduced horses could intensify parasitic concerns within the reintroduction areas. Consequently, systematic planning in wildlife conservation and consideration of the complex effects of reintroduced animals on existing ecosystems are vital in maintaining ecological balance and protecting biodiversity. Through comprehensive management and prevention strategies, reintroduction can be ensured as a beneficial approach for biodiversity conservation and ecological restoration, rather than becoming a new threat to ecosystem stability.

Availability of data and materials

All data generated or analyzed during this study are included in this published article and its additional information files.

Abbreviations

Kalamaili Nature Reserve

Minimum Convex Polygon

Fixed Kernel Estimation

Kernel Density Estimation

Variance Inflation Factor

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Acknowledgements

We would like to thank the department of the Kalamaili Nature Reserve for the logistical support in our experimental facilities.

This work was supported by the Investigation of natural protected areas and scientific investigation of potential areas of National Parks in Xinjiang (2021xjkk1201), and the Parasite Control Project of the Forestry and Grassland Bureau of Xinjiang (2024-HXFWBH-LK-01).

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Yu Zhang and Jiawei Liu contributed equally to this work.

Authors and Affiliations

School of Ecology and Nature Conservation, Beijing Forestry University, Beijing, China

Yu Zhang, Jiawei Liu, Anqi Wang, Liping Yan, Dong Zhang & Kai Li

Northwest Institute of Plateau Biology, Chinese Academy of Science, Xining, China

Xinjiang Fuyun County Kizillike Township Agricultural Development Center, Altay, China

Duishan Sailikebieke

Tongliao Forestry Pest Control Station, Tongliao, China

Zexin Zhang

Tongliao Control and Quarantine Station of Forest Pest, Tongliao, China

Chongqing Academy of Environmental Science, Chongqing, China

Heqing Huang

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YZ and KZ: Responsible for data analysis, writing, and manuscript modification. JWL and AQW: Engaged in data analysis and manuscript writing. DS, ZXZ, TGA, LPY, and DZ: Contributed to data collection and reviewed the manuscript. KL and HQH: Checked and reviewed the manuscript. All authors reviewed the manuscript, and all authors declare that they have no competing interests.

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Correspondence to Kai Li or Heqing Huang .

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The study was performed in strict accordance with the relevant guidelines and regulations regarding animal welfare. All experimental protocols were approved by the Ethic and Animal Welfare Committee, Beijing Forestry University. In addition, we obtained the permissions for conducting research within the Kalamaili Nature Reserve from the reserve's administrative department. These permissions authorized our research team to conduct field studies and investigations related to Przewalski's horse parasites in the reserve, ensuring our adherence to both ethical standards and local conservation policies.

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Supplementary Information

12862_2024_2252_moesm1_esm.pdf.

Additional file 1: Fig. S1 The pictures of the H. asiaticum bites on the abdomen of Przewalski's horses in Kalamaili Nature Reserve (KNR).pdf

12862_2024_2252_MOESM2_ESM.pdf

Additional file 2: Fig. S2 Accidental discovery of naturally detached engorged female H. asiaticum near stallion feces on donkey trails.pdf

Additional file 3: Fig. S3 The Method of tick sampling sites under three habitat types.pdf

12862_2024_2252_moesm4_esm.pdf.

Additional file 4: Fig. S4 Three types of activity traces of Przewalski's horses: stallion feces, non-stallion feces, no feces.pdf

Additional file 5: Fig. S5 Distribution of grids and points at five different scales.pdf

Additional file 6: table s1 the statistics of ticks’ identification and distribution at sampling sites.xlsx, rights and permissions.

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Zhang, Y., Liu, J., Zhang, K. et al. Biological response to Przewalski’s horse reintroduction in native desert grasslands: a case study on the spatial analysis of ticks. BMC Ecol Evo 24 , 61 (2024). https://doi.org/10.1186/s12862-024-02252-z

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• Reintroduction ecology
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• Hyalomma asiaticum
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