CUSTOMER SEGMENTATION IN THE TELECOM INDUSTRY USING MACHINE LEARNING

ABSTRACT Customer churn is the talk of the day for the telecom sector since it generates huge volumes of data and rapid advancement in techniques associated with data mining. Retaining the customers is obviously much cheaper than acquisition task. This can be achieved by understanding the reasons why the customers are churning, which can happen due to data-driven insights. This paper reviews the commonly used data mining strategies for churn pattern identification and discusses predictive modelling techniques. It also highlights future research opportunities in this domain. Keywords: Customer churn, Customer retention, CRM, Data mining techniques, Telecom industry.