1 publication
-
Published Subscription
Machine Learning Approaches for Customer Churn Prediction in TelecommunicationsBy Anjali Banarase, Ruchi Dave, Vaishnavi Chavan, Kajal Bhagwat
Abstract: Customer churn prediction is a critical challenge for companies in the telecommunications industry. The competition is intense, and acquiring new customers can be costly. Predicting when existing customers might leave (churn) helps companies take proactive measures to retain them, reducing churn rates and costs. By analyzing historical customer data, including demographics, service usage, billing, and customer service interactions, this study aims to identify customers at risk of leaving their current …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–7 Read article →