Making Customer Intention Tactics with Network Value and Churn Rate

Nowadays, customer churn is one of the toughest problems. Thanks for the development of database and data mining, the customer churn rate can be predicted exactly. But is the higher churn rate customer should be the most urgent to retain? The customer intention tactics is becoming the core problem for the customer churn management. This paper aimed to introduce the network value to the customer intention tactic of the SCMDA. First, the call information of SCDMA in a city branch of China Telecom was collected, then the customer churn rate is predicted by a Decision Tree Model via SAS8.50, and finally, intention tactic is made based on the network value of complex network and customer churn rate.