Churn Prediction

USECASE/DOMAIN: Existing models cannot accurately predict customer churn when reason for attrition is not captured.

FIBS MODEL: We used tree based models for non-time series data such as demographics information. Along with that we used neural networks for time series data such as activity and behavior of a customer.

Using customer demographic, bill payment history and balance management, support tickets, call and data usage of customers (where available), we can predict which customers are likely to leave the service.