User Behavior Path Analysis Based on Sales Data

Wangdong Jiang, Dongling Zhang, Yapeng Peng, Guang Sun, Ying Cao, Jing Li
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Abstract

: With the rapid development of science and technology and the increasing popularity of the Internet, the number of network users is gradually expanding, and the behavior of network users is becoming more and more complex. Users’ actual demand for resources on the network application platform is closely related to their historical behavior records. Therefore, it is very important to analyze the user behavior path conversion rate. Therefore, this paper analyses and studies user behavior path based on sales data. Through analyzing the user quality of the website as well as the user’s repurchase rate, repurchase rate and retention rate in the website, we can get some user habits and use the data to guide the website optimization.
基于销售数据的用户行为路径分析
随着科学技术的飞速发展和互联网的日益普及,网络用户的数量逐渐扩大,网络用户的行为也越来越复杂。用户对网络应用平台资源的实际需求与其历史行为记录密切相关。因此,分析用户行为路径的转化率是非常重要的。因此,本文对基于销售数据的用户行为路径进行分析和研究。通过分析网站的用户质量以及用户在网站中的重复购买率、重复购买率和留存率,我们可以得到一些用户习惯,并利用这些数据来指导网站优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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