Predicting Customer Churn in the Telecom Sector Using Machine Learning

Abstract

Telecom companies spend a lot to acquire new customers, making it crucial to retain these customers and ensure they continue using their plans. Churn refers to customers leaving their current service provider for another one. Once companies secure a long-term customer, they can profit significantly from them. Therefore, customer churn is a major concern for a company’s revenue and business growth, especially in the competitive telecommunications industry. By analyzing customer behavior and the services they use, companies can predict churn. This predictive capability allows them to minimize losses and enhance their business performance.