Banking Customer Churn Prediction

Customer churn is one of the most costly problems in retail banking. Acquiring a new customer costs 5–7× more than retaining an existing one. By predicting churn probability ahead of time, the bank can:

Trigger targeted retention campaigns

Offer personalised incentives to at-risk customers

Reduce revenue leakage from high-value account closures

A well-calibrated probability score (not just a label) enables the business to rank customers by risk and allocate retention budget efficiently.