Open Access

ARTICLE

User Behavior Path Analysis Based on Sales Data

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

Hunan University of Finance and Economics, Changsha, 410205, China

* Corresponding Author: Dongling Zhang. Email:

Journal of New Media 2020, 2(2), 79-90. https://doi.org/10.32604/jnm.2020.010088

Received 10 February 2020; Accepted 10 February 2020; Issue published 21 August 2020

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.

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Keywords

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