电子商务用户行为可视化分析  

Visualization Analysis of E-commerce User Behavior

作　　者：吴淑梅 周宓 WU Shumei;ZHOU Mi(Mathematics and Computer Science,Quanzhou Normal University,Quanzhou 362000,Fujian,China)

机构地区：[1]泉州师范学院数学与计算机科学学院,福建泉州362000

出　　处：《科技和产业》2025年第3期335-341,共7页Science Technology and Industry

基　　金：福建省中青年教师教育科研项目(科技类)(JAT220828,JAT210312)。

摘　　要：用户行为数据是电商企业决策的重要依据。阐释数据分析领域中的AARRR(获取用户、提高活跃度、提高留存率、获取收入、自传播)模型、漏斗分析模型以及用户行为分析方法。针对用户行为的基础指标和偏好,通过多个维度进行全面分析,并将得出的结论以图形化方式展示。最终,通过漏斗图的形式展现用户购物流程中的转化率。电子商务企业可以利用用户行为研究,针对个体提供定制化服务,进而实现精细化的市场决策。User behavior data is an important basis for decision-making in e-commerce enterprises.The AARRR(acquisition,activation,retention,revenue,referral)model,funnel analysis model,and user behavior analysis methods in the field of data analysis were explained.Based on the basic indicators and preferences of user behavior,a comprehensive analysis was conducted through multiple dimensions,and the conclusions drawn were presented in a graphical manner.Finally,the conversion rate in the user shopping process was presented in the form of a funnel chart.E-commerce enterprises can utilize user behavior research to provide customized services for individuals,thereby achieving refined market decision-making.

关 键 词：用户行为 AARRR(获取用户、提高活跃度、提高留存率、获取收入、自传播)模型 漏斗图 转化率 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP274[自动化与计算机技术—控制科学与工程]