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Customer Segmentation Using RFMVD by kevin.pineda is a document available to read on EtoBox.
This research presents a customer segmentation model based on Recency, Frequency, Monetary, Variety, and Duration (RFMVD) using K-Means clustering to enhance customer retention and satisfaction in banking. The study analyzes 702,174 bill payment transactions to identify three customer groups: passive customers, loyal customers, and VIP customers, with a silhouette score of 0.7303 indicating effective clustering. The findings suggest that incorporating additional variables like variety and duration improves
- Author
- kevin.pineda
- Language
- EN