Customer Segmentation and Churn Prediction for Payment Transaction Service
Applying RFM model to segment customers based on recency, frequency, and monetary.
Project Summary
- Applied the RFM framework to separate customers into four categories by their engagement and value for the service.
- Identified criteria of the potential churn with Semi-supervised Learning and predicted according to business context.