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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: email

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

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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Cite This Article

APA Style
Jiang, W., Zhang, D., Peng, Y., Sun, G., Cao, Y. et al. (2020). User behavior path analysis based on sales data. Journal of New Media, 2(2), 79-90. https://doi.org/10.32604/jnm.2020.010088
Vancouver Style
Jiang W, Zhang D, Peng Y, Sun G, Cao Y, Li J. User behavior path analysis based on sales data. J New Media . 2020;2(2):79-90 https://doi.org/10.32604/jnm.2020.010088
IEEE Style
W. Jiang, D. Zhang, Y. Peng, G. Sun, Y. Cao, and J. Li "User Behavior Path Analysis Based on Sales Data," J. New Media , vol. 2, no. 2, pp. 79-90. 2020. https://doi.org/10.32604/jnm.2020.010088



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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