A/B testing now supports Bayesian experimentation as an additional method for analyzing experiments. Bayesian results show the probability that a variant performs better and provide credible intervals on the likely uplift of business metrics. Customers can choose between Bayesian and frequentist methods when creating a test and receive guidance when results indicate a Bayesian test is ready to stop.