How does AI help in understanding the "why" behind A/B test results?

AI helps you understand the ‘why’ behind your A/B test results by analyzing user behavior. For example, it might show that a particular call-to-action worked better because of its placement or wording. So, by identifying such factors, AI gives you actionable insights into what drove the results, allowing you to replicate it for future tests.