RETENTION FOR A TELECOM COMPANY
Customer churn is one of the most critical issues in all industries experiencing a rapidly growing competition. Telecom companies, above all, shifted their focus from customer acquisition to customer retention to increase revenues and save marketing investments directed at new customers. This radical change called for the development of effective churn prediction models to be framed within the companies strategic decision making process.
Reduce the customer churning rate to cut costs.
Convert the company’s available data into meaningful information to detect customers churn intention in time.
Development of a machine learning-based approach to predict customers churn before they leave.
Reduce the marketing costs through customers scoring and optimize the campaigns effort. Save money on customer regain activities. Improve business understanding by identifying the root causes of churn. Strengthen the relationship with the customers and improve their overall satisfaction.