
The Analysis of XiaoHongShu’s Marketing Strategy Based on STP Theory under the Internet Era
- 1 The University of Manchester. Oxford Road, Manchester M13 9PL.
- 2 University of Ottawa, 550 Cumberland Street, Ottawa ON K1N 6N5, Canada.
- 3 London School of Economics and Political Science, Houghton Street, London WC2A 2AE
* Author to whom correspondence should be addressed.
Abstract
Competition between China's e-commerce platforms is becoming more and more intense, with many companies trying to enter the market for a share of the pie. As an emerging social platform, XiaoHongShu has already achieved great success in e-commerce and is now one of the most popular social media platforms in China. In this paper, we applied the Segmentation, Targeting, Positioning (STP) theory to analyze the marketing strategy of XiaoHongShu in the Internet era. Our analysis of this platform is about its strategy for market segmentation. It’s clear that this platform has a great understanding of its special market, i.e. female market. Then we examine this platform's precise scanning to find young women as its target consumer. This platform uses its social media advantage to connect its consumers and uses big data to find everyone's needs and hobbies. Last but not least, this paper analyses the market positioning, that is, the content community of XiaoHongShu.
Keywords
social media, media markets, content community
[1]. LR. Klein (1998). Evaluating the Potential of Interactive Media through a New Lens: Search versus Experience Goods.Journal of Business Research Volume 41, Issue 3:195-203
[2]. LT Bei, EYI Chen, R Widdows (2004).Consumers' Online Information Search Behavior and the Phenomenon of Search vs. Experience Products: Emerging Trends and Issues Among Asian Consumers and Families. Journal of Family and Economic Issues 25(4)
[3]. V Bajpai, S Pandey, S Shriwas (2012).Social Media marketing: Strategies & Its Impact. International Journal of Social Science & Interdisciplinary Research Vol.1 Issue 7
[4]. E Constantinides (2014). Foundations of social media marketing. Procedia-Social and behavioral sciences
[5]. M Saravanakumar, T Sugantha Lakshmi (2012). Social media marketing. Life science journal 9(4)
[6]. M Singh (2020). International Journal of Advance and Innovative Research Volume 7, Issue 1 (VIII)
[7]. Y Sun, TP Ly (2022). The Influence of Word-of-web on Customers' Purchasing Process: The Case of XiaoHongShu. Journal of China Tourism Research
[8]. S Burgess, C Sellitto, C Cox, J Buultjens (2009). User-generated content (UGC) in tourism: Benefits and concerns of online consumers. Information systems in a globalising world: challenges, ethics and practices: Proceedings of the 17th European Conference on Information Systems
[9]. Yin J.(2019).Business Model Research of Community E-commerce Platform about XiaoHongShu(A thesis submitted to Zhengzhou University for the degree of Master). https://kns.cnki.net/KCMS/detail/detail.aspx?dbname=CMFD201902&filename=1019105658.nh
[10]. Geng R, Wang SH, Chen X, Song DY, Yu J(2020) Content marketing in e-commerce platforms in the internet celebrity economy. Industrial Management & Data Systems.120(3):464-485
[11]. Li YY, Xie Y (2019) Is a Picture Worth a Thousand Words? An Empirical Study of Image Content and Social Media Engagement. American Marketing Association.18.
Cite this article
Jin,B.;Li,B.;Xuan,H. (2024). The Analysis of XiaoHongShu’s Marketing Strategy Based on STP Theory under the Internet Era. Advances in Economics, Management and Political Sciences,73,354-359.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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