Churn Prediction solutions to identify customers that are most likely to stop trading. The probability of a customer leaving is determined and "Value at Risk" calculated so that customer churn mitigation activities can be implemented. This helps revenue retention (1-3%) and reduce average spend on new customer acquisition (5-10%). A simple PowerBI example of model outputs can be found
here .