This customer analytics project focuses on understanding customer behavior, purchasing patterns, and retention factors. The dataset includes transaction history, demographic attributes, and engagement metrics. Using R-Studio and SAS Studio, advanced statistical analysis and predictive modeling techniques were applied to enhance customer segmentation, identify churn risk, and optimize marketing strategies.