社区电商平台的营销策略优化研究——以美团优选为例
Research on the Optimisation of Marketing Strategies of Community E-Commerce Platforms—Taking Meituan Preferred as an Example
DOI: 10.12677/ecl.2024.133627, PDF,   
作者: 陈 欣:贵州大学管理学院,贵州 贵阳
关键词: 社区电商平台美团优选营销策略4PCommunity E-Commerce Platform Meituan Preferred Marketing Strategy 4P
摘要: 伴随着科技与互联网的发展,更快捷方便的电商购物平台被人们所熟知,社区电商逐渐融入大众的生活。在众多的社区电商平台中,美团优选为其中的佼佼者。本文梳理了先前学者对社区电商的相关研究,运用PEST方法分析了社区电商所面临的宏观经济环境,同时结合SWOT理论分析其所处的经营环境,着重分析了美团优选平台在产品、价格、渠道和促销(4P)四个部分的营销现状,针对其营销策略中存在的问题,通过对问题的成因进行分析,提出对美团优选电商平台在4P上优化设计的解决方案。旨在帮助美团优选电商平台在激烈的市场竞争中实现稳健发展,帮助企业转变营销思路,这些对策也可以为其他社区电商平台提供有益借鉴。
Abstract: Along with the development of technology and the Internet, faster and more convenient e-commerce shopping platforms are well known, and community e-commerce is gradually integrated into the life of the public. Among the many community e-commerce platforms, Meituan Preferred is one of the leaders. This paper combed through the previous scholars on community e-commerce related research, using the PEST method to analyse the macroeconomic environment faced by community e-commerce, and at the same time combined with the SWOT theory to analyse the business environment in which it is located, focusing on the analysis of Meituan Preferred platform in the four parts of the marketing of the current situation of the four parts of the product, price, channels and promotions (4P), in view of the problems that exist in its marketing strategy, and by analysing the causes of the problems, proposed a solution to the problem of Meituan Preferred e-commerce. It proposes a solution to optimise the design of Meituan Preferred e-commerce platform on the 4P. The aim is to help Meituan Preferred e-commerce platform to achieve sound development in the fierce market competition, to help the enterprise change its business ideas, and these countermeasures can also provide useful reference for other community e-commerce platforms.
文章引用:陈欣. 社区电商平台的营销策略优化研究——以美团优选为例[J]. 电子商务评论, 2024, 13(3): 5110-5117. https://doi.org/10.12677/ecl.2024.133627

参考文献

[1] 艾瑞咨询. 2023-2024年中国生鲜电商运行大数据及发展前景研究报告[R]. 上海: 艾瑞咨询, 2023.
[2] Kawasaki, T., Wakashima, H. and Shibasaki, R. (2022) The Use of e-Commerce and the COVID-19 Outbreak: A Panel Data Analysis in Japan. Transport Policy, 115, 88-100. [Google Scholar] [CrossRef
[3] 赵莹. 基于微信平台的社区团购模式探究[J]. 中国管理信息化, 2020, 11(2): 25.
[4] 沈皓月. 基于社区团购经济模型的经济均衡分析[J]. 中国产经, 2020(7): 67-69.
[5] 陈佳. “后疫情时代”社区团购发展现状分析[J]. 商场现代化, 2020, 55(23): 12.
[6] 王宁宁. 社区O2O生鲜电商模式比较分析[J]. 河北企业, 2021(10): 42-44.
[7] 彭碧婷. 新零售背景下社区团购模式面临的挑战与对策[J]. 商场现代化, 2019, 11(2): 30.
[8] 胡丽丽. 生鲜农产品社区团购发展分析[J]. 内蒙古科技与经济, 2020, 9(15): 12.
[9] Wang, X.X. (2020) Analysis of the Existing Problems and the Countermeasures in the Community Group Purchase Model. 2020 International Conference on Economics, Education and Social Research (ICEESR 2020), Lanzhou, 25-26 July 2020, 197-202.
[10] 王海. 社区电商平台加码冷链物流[J]. 服务外包, 2021(8): 24-25.
[11] 欣华. 社区团购质优价低? 隐秘的角落有隐忧[J]. 中国食品工业, 2021(15): 112-113.
[12] 魏来. SWOT-PEST矩阵的社区团购发展状况分析及对策研究[J]. 大学, 2021(37): 106-109.
[13] 郭伟, 金成龙. 基于消费者特征分析的互联网卖菜策略研究——以安徽省为例[J]. 全国流通经济, 2022(5): 34.
[14] 曾敏刚, 蒋玲琳. 考虑运营努力水平和物流服务水平的社区团购供应链协调[J]. 物流技术, 2022, 41(8): 96-104.
[15] 魏艺聪, 于润佳, 刘珂妤, 等. 社区团购的优化改进——团长评级和客户细分[J]. 全国流通经济, 2020(22): 21-23.
[16] 谭梦若. 网络团购模式下的消费者行为探析[J]. 中外企业家, 2016(9): 11.
[17] Beckers, J., Weekx, S., Beutels, P., et al. (2021) COVID-19 and Retail: The Catalyst for E-Commerce in Belgium? Journal of Retailing and Consumer Services, 62, Article ID: 102645. [Google Scholar] [CrossRef
[18] 赵荣. 社区团购模式SWOT分析与发展趋势探讨——以美团优选为例[J]. 商展经济, 2022(19): 29-31.