A prediction model for telecom customer lifecycle based-on CART tree

Shuihua Han, S. Lu
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引用次数: 2

Abstract

Customer life-cycle prediction is the key to achieve long-term customer value. Current methods of customer lifecycle prediction are built on complete database. While the transaction volume, number of transactions and other numerical information are missing, those methods do not work. Here we try to predict telecom customer lifecycle based on the database of off-net customer which has only the information of demographics, then extract the demographics of the determinants of the classification of customer lifecycle by CART tree, finally gain the lifecycle of in-net customer. This model is applied for telecom operator in some province in China and good accuracy is achieved.
基于CART树的电信客户生命周期预测模型
客户生命周期预测是实现长期客户价值的关键。现有的客户生命周期预测方法都是建立在完整的数据库基础上的。当缺少交易量、事务数和其他数字信息时,这些方法不起作用。本文尝试基于只有人口统计信息的电信客户网外客户数据库进行客户生命周期预测,然后利用CART树提取客户生命周期分类决定因素的人口统计信息,最后得到网内客户生命周期。将该模型应用于中国部分省份的电信运营商,取得了较好的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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