中国科技纵横2024,Issue(15) :142-146.

零售户价值分析应用研究

Application of Clustering Algorithm in Retailer Value Analysis

董思远 蔡晓斌 张超琦 赵佳 李代栋
中国科技纵横2024,Issue(15) :142-146.

零售户价值分析应用研究

Application of Clustering Algorithm in Retailer Value Analysis

董思远 1蔡晓斌 1张超琦 1赵佳 1李代栋1
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作者信息

  • 1. 河南中烟工业有限责任公司,河南郑州 450003
  • 折叠

摘要

"十四五"时期对于整个中国社会和经济而言,是战略机遇与危机挑战并存的时期,也是提升传统动能、培育新动能的关键时期.目前,中国烟草行业已经进入建设现代化烟草经济体系促进行业高质量发展的新阶段.如何改变传统单线营销,更快触达消费者,把控消费信息并以此倒逼产品升级成为了现代化烟草市场中决胜速赢的关键.本文以河南中烟CRM客户管理系统中的零售户信息作为数据基础,通过K-Means聚类算法进行数据整合,利用RFM价值分析模型对零售户价值进行分级并建立价值矩阵,探索河南中烟黄金烟天叶规格卷烟的市场表现.

Abstract

The 14th five-year Plan is a period of strategic potential and crisis challenges for the entire Chinese society and economy.Furthermore,it's a crucial time forimproving existing momentum,and developing new momentum for growth.In order to support the high-quality development of the sector,China's tobacco industry has now moved into a new phase of developing a contemporary tobacco economic system.At this point,the fastest way to succeed in the current tobacco industry is to replace the conventional single-line marketing,reach customers more quickly,manage consumption information,and drive products to improve.In conclusion,the retail customer data from the Henan Tobacco industry's CRM customer management system served as the data foundation for this study.K-means clustering technique is used for data integration with SPSS analysis software and other tools.While classifying the value of retailers and creating a value matrix to investigate the market performance of Henan China's tobacco sector Tianye cigarettes.

关键词

卷烟市场/客户细分/RFM模型/聚类算法/零售户价值

Key words

cigarettemarket/customer segmentation/RFM model/clustering algorithm/retail value

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出版年

2024
中国科技纵横
中国民营科技促进会

中国科技纵横

影响因子:0.102
ISSN:1671-2064
参考文献量4
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