Companies are investing more in analytics to obtain a competitive edge in the market and decision makers are required better identification among their data to be able to interpret complex patterns more easily. Alluring thousands of new customers is worthless if an equal number is leaving. Business Intelligence (BI) systems are unable to find hidden churn patterns for the huge customer base. In...

in today's competitive markets, with orientation companies towards customer satisfaction, customer relationship management (crm) is more complicated. the main question is how to identify profitable and key customers of company. companies can segmenting their customers into different groups based on the specific criteria by identify and analyzing the characteristics of their behavior. these...

In today’s competitive climate, customer relationship management (CRM) has become an essential component in airline business strategies. CRM in the airline industry would be based on analyzing customer data in order to understand preferences and behavior. In this paper, we apply data mining techniques to real airline frequent flyer data in order to derive CRM recommendations and strategies. Clu...

Multimedia on demand (MOD) is an interactive system that provides a number of value-added services in addition to traditional TV services, such as video on demand and interactive online learning. This opens a new marketing and managerial problem for the telecommunication industry to retain valuable MOD customers. Data mining techniques have been widely applied to develop customer churn predicti...

The early detection of potential churners enables companies to target these customers using specific retention actions, and subsequently increase profits. This analytical CRM (Customer Relationship Management) approach is illustrated using real-life data of a European pay-TV company. Their very high churn rate has had a devastating effect on their customer base. This paper first develops differ...

With the fast development of Internet companies throughout the world, customer churn has become a serious concern. To better help the companies retain their customers, it is important to build a customer churn prediction model to identify the customers who are most likely to churn ahead of time. In this paper, we propose a Timesensitive Customer Churn Prediction (TCCP) framework based on Positi...

Customer value analysis is critical for a good marketing and a customer relationship management strategy. An important component of this strategy is the customer retention rate. Customer retention rate has a strong impact on the customer lifetime value, and understanding the true value of a possible customer churn will help the company in its customer relationship management. Conventional stati...