A/B Test Analysis Overview A/B testing is a statistical method to compare two variants and determine which performs better, enabling data-driven optimization decisions. When to Use - Comparing two versions of a product feature, webpage, or marketing campaign - Optimizing conversion rates, click-through rates, or user engagement metrics - Making data-driven decisions with statistical confidence about changes - Determining sample size requirements for experiment validity - Analyzing treatment effects and measuring lift from interventions - Evaluating whether observed differences are statistical…