In this project I used RFM (Recency, Frequency, Monetary) analysis for customer segmentation and to identify customers at risk of churning. By analyzing customer purchase behavior, I was able to segment customers, uncover demographic insights, and develop strategies to re-engage those at risk of churn, ultimately aiming to enhance customer retention and drive business growth.
- Data Gathering
- Data Cleaning
- RFM analysis ( RFM score, segment creation, customer segmentation)
- Customer Segmentation analysis
- Demographic and Behavioral analysis of churn customers
- Postgresql
- Looker studio for visualization