의사결정나무를 이용한 방문학습지사의 고객세분화에 관한 연구

A Study on Customer Segmentation of the Home Study Company using Decision Tree

Due to keen competition among companies, companies have segmented customers and they are trying to offer specially targeted customer by means of the distinguished method. In accordance, data mining techniques are noted as the effective method that extracts useful information. This paper explores customer segmentation of the home study company using data mining. The purposes of this paper are especially competitor chum in the recent home study market, to understand the characteristics of the customer group who are expected chum in case competing companies do aggressive sales promotion. In addition, this paper aims to find the influential factors of their breakaway, and to prepare practical marketing strategy to keep the existing customers. The study of chum in the home study market is conducted and the model using decision tree to predict and select valuable customer. Finally, this paper presents how the results can be incorporated and measured as a part of an overall marketing campaign process.