This project analyzes A/B testing data to evaluate the effectiveness of three marketing campaigns. By conducting pairwise comparisons using statistical tests with a 99% confidence level, it identifies the best-performing campaign, providing actionable insights to optimize marketing strategies and boost overall sales performance.