Customer Churn in Subscription Business Model—Predictive Analytics on Customer Churn

Review on Prediction of Churn Customer Behavior

Mobile Operator Customer Classification in Churn Analysis

Customer churn is a grave problem for all mobile operators. Early identification of customers from the risk group could help retain them in the operator's network. This paper introduces a set of potential churn factors on which data can be relatively easily extracted from the operator’s databases and analyzed using the SAS® Enterprise Guide®. A multi-stage research procedure utilizing such real...

Identifying Negative Influencers in Mobile Customer Churn

Customer churn, the loss of customers for a company, is one of the biggest loss of revenue for Verizon Wireless and other wireless telecommunications companies. Many companies use the lifetime value of a customer, the expected future cash flow from a particular customer, to determine long-term allocation of resources and human capital. As a result, the sudden defection of customers can greatly ...

Predicting Customer Churn Using CLV in Insurance Industry

Today, increased level of customer awareness caused themto access to the other suppliers easily and they can get their servicesfrom the competitors with similar or even better quality and same price.Therefore, focusing on customers and preventing them to leave, has beenthe most important strategy for any company. Researches have shownthat retaining former customers is cheaper than attracting ne...

Data Mining Techniques in Customer Churn Prediction

Customer churn prediction is one of the most important problems in customer relationship management (CRM). Its aim is to retain valuable customers to maximize the profit of a company. To predict whether a customer will be a churner or non-churner, there are a number of data mining techniques applied for churn prediction, such as artificial neural networks, decision trees, and support vector mac...