摘要
电信行业的客户细分多数集中在政企客户,很少涉及到家庭客户,而家庭市场一直是电信运营商的大本营。该文采用数据挖掘中的K-means聚类算法,建立客户细分模型,对电信家庭客户进行细分,为进一步挖掘家庭信息服务需求,实现精细化营销奠定基础。
Customer segmentation was mainly applied in the government and the enterprise customers in telecom industry,and few family customers were involved in.However,the family customer market was always the basis of the telecom operators.With the K-means clustering algorithms of data mining, this paper builds a customer segmentation model to achieve its application in the family customers,and establishes the foundation to further find the demands of family information service and carry out refined marketing strategy.
出处
《微型电脑应用》
2008年第11期55-56,19,共3页
Microcomputer Applications
关键词
家庭客户
客户细分
聚类分析
精细化营销
Family customer
Customers segmentation
Clustering analysis
Refined marketing
