This project involves cleaning and exploring CRM campaign data to optimize marketing strategies. Key tasks include handling null values, normalizing data, and identifying outliers across critical metrics such as Click-Through Rate (CTR), Conversion Rate (CVR), and Campaign Revenue. Advanced statistical techniques like winsorization, correlation analysis, and regression modeling were applied to uncover customer behavior insights. Segmentation analysis identified interaction patterns across different channels, guiding targeted marketing efforts. The findings highlight areas for improvement in campaign effectiveness, customer engagement, and conversion optimization.