We employ different testing methods to determine statistical significance based on the type of goal metric. For goal metrics that have a binomial distribution, like Conversion Rate, we utilize the binomial Bayesian test.
However, for goal metrics that do not follow a binomial distribution, such as AOV (Average Order Value) and PSV (Per-Session Value), we utilize the Gaussian Bayesian test. These tailored testing approaches enable us to accurately assess the statistical significance of the results, taking into consideration the unique characteristics of each metric.