Therefore this is a classification project. The variable to be predicted is binary (churn or loyal). To follow it step by step, you can use the free trial. This example is solved with Neural Designer. It is advantageous for banks to know what leads clients to leave the company.Ĭhurn prevention allows companies to develop loyalty programs and retention campaigns to keep as many customers as possible.
This example uses customer data from a bank to build a predictive model for the likely churn clients.Īs we know, it is much more expensive to sign in a new client than to keep an existing one.
