摘要
从形成期的建立客户关系,到稳定期的巩固客户关系,再到衰退期的防止客户流失的目标出发,构建了一个完整的客户全生命周期行为分析模型。针对不同阶段店铺转化率、商品关联销售、客户价值和客户流失预测等分析内容,综合应用统计分析、数据分析与挖掘、决策树分析等方法分别给出其决策方案。旨在为经营者提供更加全面、科学的经营决策支持。
A complete customer behavior analysis model based on full life cycle is established through building customer relationships in formation stage,consolidating customer relationships in stable stage and preventing customer churn in decline stage.Based on store conversion rate,merchandise related sales,customer value and customer churn prediction in different stages,the decision is separately given through statistical analysis,data analysis and mining,and decision tree analysis.Comprehensive and scientific management decision support is provided for operators.
作者
徐晓敏
谷晓燕
XU Xiaomin;GU Xiaoyan(School of Information Management,Beijing Information Science&Technology University,Beijing 100192,China)
出处
《北京信息科技大学学报(自然科学版)》
2019年第5期1-4,共4页
Journal of Beijing Information Science and Technology University
基金
国家自科科学基金资助项目(71701020)
北京市教委科技计划资助项目(201211232012)