<ul data-eligibleForWebStory="true">A/B testing contrasts traditional decision-making with controlled experiments for data-driven insights.It allows comparing versions, measuring impacts, and optimizing based on real user interactions.Proper experimental design, sample size determination, and avoiding common mistakes are essential.Understanding statistical significance and rigorous experimental practices are crucial in A/B testing.