节点文献
基于客户价值的客户行为特征分类模型探讨
Classification Model of Customer Behavior Based on Customer Value
【摘要】 通过对业界主流的客户价值分类模型的研究,同时针对电信客户消费的特点进行分析,提出以语音通信、数据流量、用户ARPU值为指标来判断客户价值,并以此作为客户分类指标建立客户分类模型。通过采用业界常用的层次分析法和聚类法,对客户进行价值分析和分类,为电信业务的针对性营销和电信套餐的制定提供参考。
【Abstract】 Based on the classification model of customer value, and according to the characteristics of telecom customer consumption analysis, provides voice communication, data flow, user ARPU value as an index to determine the customer value, and as a customer classification in-dex to establish customer classification model. By using the commonly used AHP and clustering method, the customer value is analyzed and classified, which provides reference for the development of marketing and telecommunications package.
【关键词】 客户价值;
客户分类;
层次分析法;
聚类法;
【Key words】 Customer Value; Customer Classification; Analytic Hierarchy Process; Clustering Method;
【Key words】 Customer Value; Customer Classification; Analytic Hierarchy Process; Clustering Method;
- 【文献出处】 现代计算机(专业版) ,Modern Computer , 编辑部邮箱 ,2017年01期
- 【分类号】F274
- 【被引频次】28
- 【下载频次】509