Customer churn prediction model in enterprises using machine learning

Abstract

The business of any enterprises is highly contingent upon their consumers. Understanding how the customers perform with the enterprises business is crucial one. Since the firm's business profit is based upon the customer satisfaction. To comprehend how the customer relationship with enterprises business can be analysed using the customer churn prediction (CCP). The term customer churn refers to frequency at which the client cease doing the business with the enterprises [1]. *Author for correspondenceThe customer churn can be measured using no product purchased during the time of interval by the consumer. Customer churn is significant issue in any enterprises around the globe.Due to numerous factors contributing to customer churn, enterprises often face adverse effects, including revenue loss and the need to invest significant resources in acquiring new customers. The primary causes of customer churn include: Attracting the wrong customers.  Mismatch between product offerings and customer needs.