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E-commerce Customer Segmentation with RFM Analysis and K-Means

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

Using K-Means clustering, this project segments financial customers based on their transaction data, risk profiles, and investment behavior. The segmentation helps financial institutions offer tailored products and services to different customer groups.

This project combines Recency, Frequency, and Monetary (RFM) analysis with K-Means clustering to segment e-commerce customers. By analyzing how recently customers made a purchase, how often they buy, and how much they spend, the system divides customers into segments. These segments can be used for targeted marketing campaigns and improving customer retention.