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Neijiang Moving The Warning And Ownership Of High-end Customer Churn Behavior Research

Posted on:2012-08-03Degree:MasterType:Thesis
Country:ChinaCandidate:Q H YangFull Text:PDF
GTID:2219330338970217Subject:Business Administration
Abstract/Summary:PDF Full Text Request
In the increasingly competitive telecommunications market environment, mobile operators guided from a technical change to the customer-oriented, how accurate early warning of the loss of high-value customers, how to retain and maintain the high-value customers, has become the mobile communications industry problems to be solved. Based on this background, this theory of customer relationship management (CRM) as the entry point to the status of domestic and international communications industry and loss of customers as a reference case, using a combination of theoretical and empirical means, the following main tasks:1. Solve the high-end customers in the mobile communications industry classification problems. Decision tree in data mining and other analytical techniques, for mobile users to explore and analyze billing data summarized in the general characteristics of high-end users to establish the scope of the analysis of high-end customers.2. Establishment of a call based on behavioral characteristics of the core circle of contacts in the high-end customer churn prediction model. XX cities through the training set of user data, establish contacts in the high-end customers ring the call features of the core library of indicators, and establish indicators to determine the critical value of the transaction.3. Early warning model based on integrated marketing, services, resources and ideas to establish and maintain a comprehensive high-end marketing services to maintain all aspects of high-end strategy to achieve high customer churn in the warning, customer retention, customer retention a complete chain management.Finally, the paper will establish a core of high-end customers call customer churn prediction model and high-end customer retention strategy, applied to china-mobile company to market high-end business operations management, to obtain the ideal early warning effect.
Keywords/Search Tags:customers churn, churn predict, customer retention, neural network
PDF Full Text Request
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