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.

churn