Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

Methodology of the Underlying Model of Internet Digital Economic Growth: Traffic, Customer Unit Price, Conversion Rate and Repurchase Rate

Authors
Xiaohu Fu1, *, Xu Wang2
1Beijing City University and College of economics and management, Shunyi District, Beijing, China
2Liaoning University and College of Physics, Shenyang District, Liaoning, China
*Corresponding author. Email: 2521714628@qq.com
Corresponding Author
Xiaohu Fu
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_31How to use a DOI?
Keywords
Internet economy; traffic; digital economic growth model
Abstract

In recent years, the operating costs of Chinese Internet enterprises have increased significantly, and the growth rate of operating profits has maintained double digits. In 2021, China's Internet enterprises above Designated Size achieved a total operating profit of 132 billion yuan, an increase of 13.3 billion yuan over the previous year, a year-on-year increase of 11.2%, and the growth rate decreased by 4.71 percentage points over the previous year. Disassemble the growth model of Internet companies through the four dimensions of traffic, conversion rate, customer unit price and repurchase rate, so as to provide new ideas for the growth of Internet companies in China, and then drive the development of the whole Internet industry.

Copyright
© 2023 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.

Download article (PDF)

Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_31
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_31How to use a DOI?
Copyright
© 2023 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  - Xiaohu Fu
AU  - Xu Wang
PY  - 2022
DA  - 2022/12/29
TI  - Methodology of the Underlying Model of Internet Digital Economic Growth: Traffic, Customer Unit Price, Conversion Rate and Repurchase Rate
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 206
EP  - 211
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_31
DO  - 10.2991/978-94-6463-042-8_31
ID  - Fu2022
ER  -