Churn Analysis Using Information Value and Weight of Evidence

Customer Churn is one of the most important and challenging problems for businesses like banks, SAAS or telecommunication companies. Churn is expensive for the business since it costs more to acquire new customers than it does to retain the existing ones. Stakeholders invest a lot of time and effort in finding out how they can accurately distinguish existing customers that are about to leave. The answer to this question allows teams to take action. Most of the churn analysis approaches focus on predicting which customers are about to churn.