| 基于改进RFM模型对民航客户的细分研究 |
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| 引用本文： | 杨琳,寇勇刚,白钊,刘皓晨.基于改进RFM模型对民航客户的细分研究[J].数学的实践与认识,2021(1):33-39. |
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| 作者姓名： | 杨琳 寇勇刚 白钊 刘皓晨 |
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| 作者单位： | 1.中国民用航空飞行学院机场工程与运输管理学院;2.深联公务航空有限公司;3.中国民用航空飞行学院空中交通管理学院 |
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| 基金项目： | 中国民用航空飞行学院研究生科研创新计划项目(X2020-19);中国民用航空飞行学院大学生创新创业训练计划项目(S202010624045);中央高校教研项目(E20180204)。 |
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| 摘 要： | 近年来航空公司将客户分成不同的群体为了给客户提供差异化服务和有针对性的营销.现有传统的客户细分RFM模型由于存在缺乏科学的指标建立,已无法准确和完整的描述实际情况中客户的细分结果,根据民航客户价值的特点,在传统客户细分的RFM模型上进行改进,创建LRFMC模型,对某航空公司客户采用数据挖掘K-means算法进行聚类分析...
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| 关 键 词： | RFM模型 聚类分析 K-means算法 客户细分 |
An Empirical Research on the Influence of Improved RFM Model on Customer Segmentation |
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| YANG Lin,KOU Yong-gang,BAI Zhao,LIU Hao-chen.An Empirical Research on the Influence of Improved RFM Model on Customer Segmentation[J].Mathematics in Practice and Theory,2021(1):33-39. |
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| Authors: | YANG Lin KOU Yong-gang BAI Zhao LIU Hao-chen |
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| Institution: | (Civil Aviation Flight University of China,Airport Operations and Transportation Management College,Guanghan 618307,China;Shenzhen Union Business Aviation Co,Ltd,Shenzhen 518000,China;Civil Aviation Flight University of China,Air Traffic Management College,Guanghan 618307,China) |
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| Abstract: | In recent years,customers have been divided into different groups by the airlines so that specific services can be provided.Due to the existing customer segmentation RFM model lack of scientific justification,the customer segmentation can’t be demonstrated accurately and thoroughly.Based on the characteristics of the airline passenger,we use data mining K-means clustering algorithm to analyze one airline’s passengers and develop the LRFMC model,an improvement over the traditional model,to obtain the customer segmentation.The marketing strategies built to provide specific services to targeted customers based on the outcome of the segmentation can help improve the airline’s service quality and promote their competitiveness. |
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| Keywords: | RFM model cluster analysis K-means algorithm customer segmentation |
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