Modeling Customer Lifetimes with Multiple Causes of Churn

Modeling Customer Lifetimes with Multiple Causes of Churn

Customer retention and customer churn are key metrics of interest to marketers, but little attention has been placed on linking the different reasons for which customers churn to their value to a contractual service provider. In this article, we put forth a hierarchical competing risk model to jointly model when customers choose to terminate their service and why. Some of these reasons for chur...

Modeling churn using customer lifetime value

Abstract The definition and modeling of customer loyalty have been central issues in customer relationship management since many years. Recent papers propose solutions to detect customers that are becoming less loyal, also called churners. The churner status is then defined as a function of the volume of commercial transactions. In the context of a Belgian retail financial service company, our ...

A novel cost-sensitive framework for customer churn predictive modeling

Customer churn predictive modeling deals with predicting the probability of a customer defecting using historical, behavioral and socio-economical information. This tool is of great benefit to subscription based companies allowing them to maximize the results of retention campaigns. The problem of churn predictive modeling has been widely studied by the data mining and machine learning communit...

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...