计算机应用 ›› 2010, Vol. 30 ›› Issue (2): 495-498.

• 人工智能 • 上一篇    下一篇

基于动态聚类的证券业客户细分实证研究

钱维佳1,王延清2   

  1. 1. 华东理工大学
    2.
  • 收稿日期:2009-08-21 修回日期:2009-09-25 发布日期:2010-02-10 出版日期:2010-02-01
  • 通讯作者: 钱维佳

Empirical research on customer segmentation of securities based on clustering

  • Received:2009-08-21 Revised:2009-09-25 Online:2010-02-10 Published:2010-02-01
  • Contact: QIAN Wei-Jia

摘要: 在客户关系管理理论基础上,建立了一个包含13个行业特色指标的证券业客户多维细分模型,并利用聚类分析对国内某知名券商的具体客户信息和交易数据进行了实证研究,有效识别出了具有不同特征以及偏好的客户群,并在此基础上提出了相应的营销策略。

关键词: 动态聚类, 客户关系管理, 客户细分, 证券业, 个性化营销

Abstract: This paper proposed a multidimensional customer segmentation model applied in securities industry, and carried out an empirical research in real customer data from a domestic famous security company by the clustering analysis of data mining. Finally, some marketing strategies were put forward in correspondence with different customers of different traits and preferences.

Key words: dynamic clustering, Customer Relationship Management (CRM), customer segmentation, securities industry, personalization marketing