Research on Digital Marketing Strategy of Cross-border Retail Platform Based on STV Model: Taking Amazon as an Example
- DOI
- 10.2991/978-94-6463-042-8_150How to use a DOI?
- Keywords
- digital marketing; STV triangle model; cross-border retail platform; international marketing strategy; cross-border e-commerce; Amazon
- Abstract
Given that the Internet has promoted the overall transformation of international trade, the global marketing strategy of cross-border retail platform enterprises must be adjusted in accordance with the development of emerging Internet technologies and the digital business environment. The article aims to construct a new digital marketing model for crossborder retail platform enterprises based on STV marketing theory, which emphasizes on the target marketing, crossover marketing and forming platform alliances to earn the global market. With a goal of building a digital marketing ecosystem, the model offers detailed suggestions for each marketing strategy and integrates various factors at different stages of international development.
- 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 - Meiyu Wang AU - Zhizhen Bu PY - 2022 DA - 2022/12/29 TI - Research on Digital Marketing Strategy of Cross-border Retail Platform Based on STV Model: Taking Amazon as an Example BT - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) PB - Atlantis Press SP - 1051 EP - 1056 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-042-8_150 DO - 10.2991/978-94-6463-042-8_150 ID - Wang2022 ER -