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基于移动通信客户行为分析的精确营销策略研究 被引量:5

Refined marketing strategy research based on customer behavior analysis of mobile communications
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摘要 随着全业务和3G运营的发展,粗放式的营销方式已明显滞后于电信市场的发展。将精细化营销、数据挖掘等营销管理理念和智能计算方法运用到电信产品营销中,提出了基于移动通信客户行为分析的精确营销策略模型。本模型依据客户行为分别建立客户价值模型、客户粘性模型、客户异动模型和客户需求鉴别模型,利用4个模型构建营销矩阵,实现客户群细分,针对不同客户实施不同保有和营销策略并对模型实施应用评估。精确营销策略能够为营销队伍提供常规化营销支持服务,提升企业市场竞争力。 With the development of the whole business and 3G operators,extensive marketing has significantly lagged behind in the development of the telecommunications market.The refined marketing,data mining,marketing management concepts and intelligent computing methods applied to the marketing of telecommunications products,refined marketing strategy research based on customer behavior analysis of mobile communications was build.This model based on customer behavior,build customer value model,customer stickiness model,the client transaction model and customer demand discrimination model,the four models build a marketing matrix,in order to achieve customer segments for different customers,a different retention or marketing strategies were implemented for different customers,then the model of implementation are assessed.Precise marketing strategy for the marketing team could provide regular marketing support services and enhance the market competitiveness of enterprises.
作者 杨军
出处 《电子设计工程》 2012年第8期141-143,共3页 Electronic Design Engineering
关键词 精确营销 客户行为分析 客户细分 数据挖掘 refined marketing customer behavior analysis customer segmentation data mining
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  • 1张海涛,靖继鹏.根据用户的浏览行为确定网页页面等级的方法[J].情报学报,2004,23(3):303-306. 被引量:5
  • 2黄小原,田澎,肖四汉.基于神经网络的证券选择决策工具[J].系统工程理论方法应用,1995,4(2):60-65. 被引量:4
  • 3王继民,彭波.搜索引擎用户点击行为分析[J].情报学报,2006,25(2):154-162. 被引量:45
  • 4Enrique Frias-Martinez,Sherry Y.Chen,Xiaohui Liu.Investigation of Behavior and Perception of Digital Library Users:A Cognitive Style Perspective[J].International Journal of Information Management,2008(28):355-365.
  • 5Cheng Chih Chang,Pei-Ling Chen,Fei-Rung Chiu,et al.Application of Neural Networks and Kano's Method to Content Recommendation in Web Personalization[J].Expert Systems with Applications,2008.
  • 6A.Georgakis,H.Li.User Behavior Modeling and Content Based Speculative Web Page Prefetching[J].Data & Knowledge Engineering,2006(59):770-788.
  • 7Feng-Hsu Wang,Hsiu-Mei Shao.Effective Personalized Recommendation Based on Time-Framed Navigation Clustering and Association Mining[J].Expert Systems with Applications,2004 (27):365-377.
  • 8Mrngank V Thakor,Wendy Borsuk,Mafia Kalamas.Hodists and Web Browsing Behavior-an Empirical Investigation[J].Journal of Business Research,2004(57):776-786.
  • 9Shuchih Ernest Changa,S Wesley Changchiena.Assessing Users' Product-Specific Knowledge for Personalization[J].Expert Systems with Applications,2006 (30):682-693.
  • 10Shu-Hsien Liao,Chih-Hao Wen,Artificial Neural Networks Classification and Clusteringof Methodologies and Applications Literature Analysis From 1995 to 2005[J].Expert Systems with Applications,2007(32):1-11.

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