| 证券业客户细分模型构建及实证研究 |
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| 引用本文： | 王园.证券业客户细分模型构建及实证研究[J].上海管理科学,2012(2):30-35. |
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| 作者姓名： | 王园 |
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| 作者单位： | 集美大学工商管理学院,福建厦门 361021;厦门大学信息科学与技术学院,福建厦门 361005 |
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| 摘 要： | 对比国内外证券业市场客户关系管理应用现状,在客户行为细分和客户生命周期理论的基础上,结合K-means聚类算法和商务智能技术,提出基于K-means聚类方法的中国证券业客户分层分级细分模型,并结合具体案例,进行了实证研究,证券公司可以据此推出个性化营销策略。
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| 关 键 词： | K-means 证券公司 客户细分 客户关系管理 生命周期 |
Construction and Empirical Study on Customer Segmentation Model of Securities Industry |
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| Wang Yuan.Construction and Empirical Study on Customer Segmentation Model of Securities Industry[J].Shanghai Managent Science,2012(2):30-35. |
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| Authors: | Wang Yuan |
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| Abstract: | Firstly,this paper contrasts customer relationship management of securities industry between home and abroad.Then based on theory of customer behavior segmentation and customer life period,this paper combines Kmeans cluster algorithm and business intelligence technique, and brings forward securities industry customer hierarchy and subdivision model.Finally,this paper applies case study combining with substantial case,based on which securities industry may bring out customized marketing strategy. |
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| Keywords: | K-means Securities enterprise Customer segmentation CRM Life period |
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