This project uses a data-driven approach to predict customer behavior and strengthen customer relationships. It develops a model to predict customer lifetime value (CLV) using variables like customer demographics, purchase history, website interactions, and feedback. The study identifies key factors influencing CLV and how they contribute to overall business strategy. It also examines how the type and category of purchased products or services influence CLV and how this information can be used for targeted marketing.