Survey Paper on Analysis of Customer Churn Prediction in Different Sectors

Abstract

Customer churn is an agonizing reality that affects all businesses at some point. In the industry, it refers to the shift of subscribers from one provider to another. Major cause of revenue loss in this sector is because of customer churns. It is important for a lasting and sustainable business growth to understand what has caused previously loyal customers and users to abandon ship and find a new provider. Churn prediction is one of the important requirements in all sector to know the customers who are likely to churn. This researcher proposes to give emphasis on churn prediction and the use of data mining techniques to detect the intention of the customers. Data mining is a method that is used to obtain data from a core set of data. Data Mining makes use of various algorithms to perform a variety of tasks. The research sample data is examined by these algorithms and a model is determined that is close to solving of the problem of formulating a prediction model to detect customer churn in service-oriented sectors.