Spotting patterns in A/B testing: The difference between making and losing money

Wrongly interpreting the patterns in your A/B test results can not only lose you money, it can lead you to make changes to your site that actually harm your conversion rate.

Correctly interpreting patterns in results will mean you learn more from each test you run, give you confidence that you are only making positive changes, and help you turn any losing tests into future winners.

The results of A/B tests will generally fall into one of five distinct patterns. Learn to spot these patterns, follow...

By Kyle Hearnshaw, 11 October 2017, 0 comments. Categories: Data-driven marketing, Data Science.