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A/B Testing Case Studies

One of the best way to come up with A/B testing ideas is to learn from the experience of others. On this page you will find A/B testing case studies and conversion rate optimization case studies from the world’s largest brands and companies. We hope these stories will inspire you and help generate test ideas you can implement on your own website.

How We Got Our Client to Care About Optimization with a CTA Button Test

How We Got Our Client to Care About Optimization with a CTA Button Test

Perhaps you’ve seen the movie, “A Christmas Story?”

If you haven’t seen this holiday comedy, which I highly recommend, let me at least tell you that the movie contains a subplot in which the main character jumps through hoops and exercises great patience, only to end up highly annoyed and disappointed thanks to the realities of marketing. Sound familiar? You’re not alone. Here’s a tale of our own disappointment—and how we turned it around.

The Results Are In: What We Learned by A/B Testing a Personalized Homepage

The Results Are In: What We Learned by A/B Testing a Personalized Homepage

We recently redesigned and personalized Optimizely’s homepage to reflect our focus on an account-based strategy; and while we were thrilled with what we were able to accomplish in the project, we wanted to quantify the impact.

For those of you out there who are wondering—does ABM drive results? Is a website personalization initiative worth it? We’re going to share our findings and what we’ve learned.

B2B Case Study: A Radical Lead Generation Form Redesign

B2B Case Study: A Radical Lead Generation Form Redesign

Dale Carnegie is one of the world’s premiere training companies, offering personal development courses for business, career and life. When they asked Americaneagle.com to help improve their lead generation, we had the perfect solution – a split testing program focused on their main lead gen pages. We used split testing to scientifically validate our various test hypothesis in a controlled way and achieved significant increases in new leads. Here’s how…

How 5 Retailers Increased Online Sales Through Optimization

How 5 Retailers Increased Online Sales Through Optimization

Ever-changing consumer preferences and online shopping behaviors present a challenge that many leading retail businesses are tackling with optimization strategies.

In light of today’s kick-off at eTail West, we’re sharing 5 retail case studies from Revolve, Sony, Trunk Club, Blu Dot, and Smartwool that reveal how retailers are using Optimizely to increase revenue and e-commerce conversion rate.

3 A/B Testing Case Studies on Seeking The Global Maximum

3 A/B Testing Case Studies on Seeking The Global Maximum

As the following case studies reveal, there are huge wins to be had from thinking big and being open to questioning the status quo. There are also important revelations lurking in smaller tests that can point the way to a major redesign. And sometimes testing is the only way to find true north amidst the chaos and confusion of major changes.

The Light At the End of the Funnel: Adventures in Getting Users to Do Stuff

The Light At the End of the Funnel: Adventures in Getting Users to Do Stuff

Do you have something you want to sell? Do you have users? If you answered yes to both these questions, then you probably have to get your users through some kind of a funnel.

That’s tough. When we set out to do this for a financial services company recently, we thought we knew a lot already (after all, this company had already achieved product-market fit). But what we learned surprised us.

4 Questions Every Optimization Team Needs to Answer

4 Questions Every Optimization Team Needs to Answer

How do you create a world-leading optimization team? One that you can trust to consistently deliver ROI year after year? Dedicated internal CRO teams are becoming increasingly common within businesses. As more and more companies adopt the testing culture, they start to ask the same questions:

– Where should we start testing?
– What happens when tests start losing?
– Is there an “optimization ceiling”? When is it reached?
– How do you prove a testing program’s value over time?