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Customer Segmentation in Health Insurance using K-Means

Original price was: ₹ 7,500.00.Current price is: ₹ 6,000.00.

This project combines RFM (Recency, Frequency, Monetary) analysis with K-Means clustering to segment e-commerce customers. It helps businesses target high-value customers based on their purchasing behavior and recent activity.

This project applies K-Means clustering to segment health insurance customers based on factors like claim history, health status, and premium payment patterns. By clustering customers, health insurance companies can better understand their customers’ needs and offer more personalized plans, resulting in improved customer satisfaction and retention.