Factors Affecting User Clicks on Ads
- DOI
- 10.2991/978-2-494069-31-2_272How to use a DOI?
- Keywords
- E-commerce; Taobao; Ad clicks; Logistic regression; Decision tree
- Abstract
In recent years, e-commerce has become a new and popular industry, and the issue of click-through e-commerce advertising has received widespread attention. To increase product exposure and sales, more and more e-commerce companies are focusing on the issue of advertising. Displaying ads that are relevant to users' needs will greatly increase user satisfaction. Therefore, this study collected data on ads displayed on Taobao, user information, and ad clicks over eight days and conducted logistic regression and decision tree analysis on the data. Based on the perspective of user personality, the relationship between ad clicks and different user groups was analyzed to suggest effective strategies for ad operators. The findings show that ad clicks are influenced by age, gender and consumption level. It is suggested that more e-commerce companies can personalize their advertising operations to target different user groups, to more effectively increase the click-through rate of advertising, which in turn will increase the sales rate of their products and maximize their benefits.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wenqi Li AU - Ziyang Xu PY - 2022 DA - 2022/12/29 TI - Factors Affecting User Clicks on Ads BT - Proceedings of the 2022 6th International Seminar on Education, Management and Social Sciences (ISEMSS 2022) PB - Atlantis Press SP - 2307 EP - 2318 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-31-2_272 DO - 10.2991/978-2-494069-31-2_272 ID - Li2022 ER -