Research on Marketing Strategies of Internet Enterprises During COVID-19——Taking ByteDance as an Example

Research Article
Open access

Research on Marketing Strategies of Internet Enterprises During COVID-19——Taking ByteDance as an Example

Zhuoran Zhu 1*
  • 1 Canisius High School    
  • *corresponding author 2043611944@qq.com
Published on 13 September 2023 | https://doi.org/10.54254/2754-1169/16/20230986
AEMPS Vol.16
ISSN (Print): 2754-1177
ISSN (Online): 2754-1169
ISBN (Print): 978-1-915371-75-1
ISBN (Online): 978-1-915371-76-8

Abstract

After the outbreak of COVID-19, a huge number of enterprises have been traumatized. This sudden outbreak has had a huge impact on many industries. The first to bear the brunt is the restaurant industry. Almost devastated by the blow, many of the current suspension of business. The tourism industry is also the same. When all industries are in a downturn, the Internet industry has been able to maintain profit growth. In the Internet industry, the growth rate of ByteDance is particularly prominent. This research focused on the strategies ByteDance used during the epidemic that promoted its markets The method of this paper is literature reading and analysis. The data is obtained from the internet. It can be concluded that the success of ByteDance was not a coincidence but had been planned for a long time. ByteDance provides us with an idea of the response strategy for companies in the event of an epidemic, and does a good job of showing how to change out of that painful mindset. It brightens the way of the internet industry's future for the coming years.

Keywords:

marketing strategies, ByteDance, Tik Tok, AI algorithm, UI design

Zhu,Z. (2023). Research on Marketing Strategies of Internet Enterprises During COVID-19——Taking ByteDance as an Example. Advances in Economics, Management and Political Sciences,16,101-104.
Export citation

References

[1]. Zhihu. (2019) www.zhihu.com/topic/20168793/intro

[2]. New.qq.com. (2022) https://new.qq.com/omn/20210326/20210326A02YBW00.html

[3]. Youtube. (2020) Why is Douyin(Tik Tok) a single-column layout and why is Kuaishou a two-column? What is the difference between these two recommendation algorithms? Why is Douyin (Tik Tok) more addictive? https://www.youtube.com/watch?v=PI1TteVNXO8

[4]. Zhihu. (2019) "In-depth explanation" the algorithm mechanism of Tik Tok. https://zhuanlan.zhihu.com/p/60605828

[5]. People's Daily Overseas Edition. (2021) The size of China's Internet users exceeds 1 billion. http://www.gov.cn/xinwen/2021-08/28/content_5633876.htm

[6]. Zhihu. (2022) 2021 Live e-commerce annual data report https://zhuanlan.zhihu.com/p/470616126#

[7]. New.qq.com (2022) Tik Tok Live 2021 Annual Ecology Report. https://new.qq.com/omn/20220103/20220103A05SBJ00.html

Cite this article

Zhu,Z. (2023). Research on Marketing Strategies of Internet Enterprises During COVID-19——Taking ByteDance as an Example. Advances in Economics, Management and Political Sciences,16,101-104.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 2nd International Conference on Business and Policy Studies

ISBN：978-1-915371-75-1(Print) / 978-1-915371-76-8(Online)
Editor：Javier Cifuentes-Faura, Canh Thien Dang
Conference website: https://2023.confbps.org/
Conference date: 26 February 2023
Series: Advances in Economics, Management and Political Sciences
Volume number: Vol.16
ISSN：2754-1169(Print) / 2754-1177(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).

References

[1]. Zhihu. (2019) www.zhihu.com/topic/20168793/intro

[2]. New.qq.com. (2022) https://new.qq.com/omn/20210326/20210326A02YBW00.html

[3]. Youtube. (2020) Why is Douyin(Tik Tok) a single-column layout and why is Kuaishou a two-column? What is the difference between these two recommendation algorithms? Why is Douyin (Tik Tok) more addictive? https://www.youtube.com/watch?v=PI1TteVNXO8

[4]. Zhihu. (2019) "In-depth explanation" the algorithm mechanism of Tik Tok. https://zhuanlan.zhihu.com/p/60605828

[5]. People's Daily Overseas Edition. (2021) The size of China's Internet users exceeds 1 billion. http://www.gov.cn/xinwen/2021-08/28/content_5633876.htm

[6]. Zhihu. (2022) 2021 Live e-commerce annual data report https://zhuanlan.zhihu.com/p/470616126#

[7]. New.qq.com (2022) Tik Tok Live 2021 Annual Ecology Report. https://new.qq.com/omn/20220103/20220103A05SBJ00.html

For authors
Guide for authors Policies for authors Aims and scope Subscription Open access policy
For editors
Policies for editors Editorial board
For reviewers
Policies for reviewers Privacy policy

Cookies are used by this site.
Copyright © 2024 EWA Publishing, its licensors, and contributors. All rights reserved, including text and data mining, AI training, and similar technologies.