Scaling A/B Testing Across Teams & Platforms in Online Retail
Every team in your organization is striving for better results. These might include higher conversions, deeper engagement, faster site speed, increased loyalty, lower costs, or all of the above. As more companies adopt defined strategies instead of assumptions to achieve business goals, conversion rate optimization (CRO) has become one of the most powerful tools available to digital teams. If you’re running an experimentation program, you know A/B testing can help you find what actually works for your audience, product, and market.
A surprising reality is that just one out of every eight A/B tests leads to a major change on an app or site. While that statistic serves as a reminder that you need to run numerous tests in the right areas to optimize effectively, it also suggests that most optimization occurs through incremental learning and smaller, less immediately noticeable improvements. As you gain a deeper understanding of your users’ behavior and preferences, you’ll be able to adjust digital experiences faster and see the impact on revenue, engagement, and retention over time.
Whether you're a CRO specialist, product manager, marketer, or developer, this guide will help you simplify the experimentation process and turn more tests into meaningful results. We’ll explore how cross-functional teams can collectively achieve their goals. CRO won’t work with a one-size-fits-all strategy – what works for one company or team might not work for another. That’s why the best testing strategies are agile and tailored to your specific goals and audiences.
In this guide, you'll see how product, development, and marketing teams can unite for experimentation to create a shared understanding of what drives stronger performance. Get your free copy today.
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