Rule-Based Customer Churn Prediction Model Using Artificial Neural Network Based and Rough Set Theory

Abstract

Customer Churn can also be your best friend to make better marketing decisions. Identifying early who is at risk to leave is the best way to segment your campaigns to re-engage these users effectively and in time because it is more expensive and time-consuming acquiring new customers than retaining old ones. In this modern age of digitization, everyone uses online services for various day-to-day activities provided by numerous E-commerce websites. The consumers write reviews which explain and help other companies to the happiness of customers. This paper proposed a rule-based customer churn prediction model using artificial neural network based and rough set theory on customer reviews dataset. The utilization of presented framework help companies in making intelligent decision support system.