Predicting Winning A/B Tests Using Repeatable Patterns
If you ever ran a highly trustworthy and positive a/b test, chances are that you’ll remember it with an inclination to try it again in the future – rightfully so. Testing is hard work with many experiments failing or ending up insignificant. It’s optimal to try and exploit any existing knowledge for more successes and fewer failures. In our own practice we started doing just that.