Telecom_Churn_CaseStudy

In the telecom industry, customers are able to choose from multiple service providers and actively switch from one operator to another. In this highly competitive market, the telecommunications industry experiences an average of 15-25% annual churn rate. Also, it costs 5-10 times more to acquire a new customer than to retain an existing one, customer retention has now become even more important than customer acquisition. To reduce customer churn, telecom companies need to predict which customers are at high risk of churn. In this case study, the customer-level data of a leading telecom firm is used to build predictive classification models to identify customers at high risk of churn and identify the main indicators of churn.