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.
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.
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?
Mobile app optimization helps the Trunk Club team ensure that their app is efficient at converting browsers to customers, but it also helped them with an important discovery—finding the right customers to focus on, which means stylists can focus their attention on customers that are most likely to purchase clothing from their trunks.
Blick, the leading online and print tabloid in Switzerland, has boldly ventured into unchartered territory for most in the media industry: editorial A/B testing. By experimenting with headlines and teaser images, Blick’s editorial team is able to better understand what readers are most interested in, in real time.
Discovery Communications is a global mass media and entertainment company with an astonishing portfolio of television networks, including the Discovery Channel, Animal Planet, TLC, the Oprah Winfrey Network, and Science Channel. It has 2.9 billion global subscribers, a reach that totals 2 in 5 people on the planet.
The product team at Discovery Communications is driven by testing; they’re constantly iterating on their user experience to improve both content engagement and their display ad metrics.
The product team at JustGiving, has done a lot of work over the years to increase social sharing: we’ve added more social sharing functionality and made it easier to share.
In January this year, we decided to run our first test to see if we could increase post-donation sharing by appealing to different motivations. So we designed a simple A/B test on the copy to see if a different message would increase the proportion of people who shared news about their donation with their social network. Given the volume of donations we process, a small change could have a massive impact.
Ideas for A/B tests can come from the darnedest places. But there’s nothing like case studies from other similar companies to get the hypothesis juices flowing. Here are 13 e-commerce conversion optimization case studies from Optimizely customers. Each one has a clear takeaway you can use as inspiration for your own test hypotheses. Scroll forth and grow that list of experiment ideas!
Secret Escapes is a flash-sale luxury travel company that offers discounted deals on four and five-star hotels around the world. The business is growing quickly with 300% YoY growth, expanding to markets in Germany and the U.S. with a base of 10 million+ members on their iOS/Android apps and website.
As a high-growth business in the extremely competitive online travel market, Secret Escapes cannot afford to make changes to any of their digital properties that might throw off this momentum. That’s why Secret Escapes runs all app and website changes—no matter how small—as Optimizely experiments first before rolling them out live.
Blu Dot tests everything. Really. I know what you’re thinking. Is testing everything possible? Is it even practical? The answer is yes on both counts. This is the very true story of a company that, within two years, evolved from never having conducted a split test to an organization that is continuously developing, prioritizing and validating hypotheses—big and small, broad and targeted.
Prioritization is the million-dollar question in optimization programs. It gets at the heart of our most frequently-asked question at Optimizely: “What should I test?” A strong prioritization process arms a growth marketer with the answer: “Here’s what we’ll test, in what order, and here’s why.”
Last week, we met Pauline Marol, the Lead Product Manager for optimization at Hotwire. Pauline’s prioritization process is a framework that keeps her optimization engine running smoothly with hundreds of ideas in the backlog and helps the very best ideas surface so they can be tested quickly.
As Pauline describes it, her prioritization “removes the emotion from A/B testing.”