| 摘要 |
PROBLEM TO BE SOLVED: To provide a customer maintenance supporting system with respect to a member customer by which a customer group effective to a campaign for urging continuing of a utilization contract is extracted by using many kinds of item data without selecting an item to be a retrieval key from the items of customer information by experience and a prescribed script is transmitted. SOLUTION: The system is provided with a data mining means (9) for obtaining the correlation rule of each item by performing multiple regression analysis with each item of customer information of customers having cancelled the contract as an explanation variable and a contract cancellation probability setting means (10) with the coincidence ratio of the relation of each item data of customer information of residual member customers who have not cancelled the contract during an analyzing period and the correlation rule as the contract canceling prediction probability (p) of the member customer by comparing both of them. By extracting the member customers whose probability (p) exceeds a contract cancellation boundary value pT from among the residual member customers who have not cancelled the contract during the analyzing period, the high-risk customer group of contract cancellation is extracted and the campaign for urging continuing of the utilization contract is performed efficiently. |
