{"title":"麦当劳市场细分分析","authors":"Jing An","doi":"10.1145/3436209.3436886","DOIUrl":null,"url":null,"abstract":"McDonald's is one of the most popular fast-food restaurants companies in the world. The way McDonald's built its marketing segmentation remains mysterious. Though there are multiple articles online discussing its marketing strategy, none of them clearly indicate the different approaches McDonald's utilized to build its marketing segmentation. In order to analyze McDonald's approaches to build marketing segmentation, seven different countries’ McDonald's websites are visited and the product types information from the official menu list on the websites are extracted. These seven countries represent seven continents while Antarctica is not considered. India and China are chosen since they are the most populated countries on the Earth. Then, every approach that McDonald's using in building marketing segmentation is listed out and how these approaches contribute to the overall structure is analyzed. The approaches all have advantages and drawbacks at the same time. Meanwhile, the five-year total return rates indicate that McDonald's has won its customers’ hearts in these several years.","PeriodicalId":127162,"journal":{"name":"Proceedings of the 2020 4th International Conference on E-Business and Internet","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis on Marketing Segmentation of McDonald's\",\"authors\":\"Jing An\",\"doi\":\"10.1145/3436209.3436886\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"McDonald's is one of the most popular fast-food restaurants companies in the world. The way McDonald's built its marketing segmentation remains mysterious. Though there are multiple articles online discussing its marketing strategy, none of them clearly indicate the different approaches McDonald's utilized to build its marketing segmentation. In order to analyze McDonald's approaches to build marketing segmentation, seven different countries’ McDonald's websites are visited and the product types information from the official menu list on the websites are extracted. These seven countries represent seven continents while Antarctica is not considered. India and China are chosen since they are the most populated countries on the Earth. Then, every approach that McDonald's using in building marketing segmentation is listed out and how these approaches contribute to the overall structure is analyzed. The approaches all have advantages and drawbacks at the same time. Meanwhile, the five-year total return rates indicate that McDonald's has won its customers’ hearts in these several years.\",\"PeriodicalId\":127162,\"journal\":{\"name\":\"Proceedings of the 2020 4th International Conference on E-Business and Internet\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 4th International Conference on E-Business and Internet\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3436209.3436886\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 4th International Conference on E-Business and Internet","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3436209.3436886","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

麦当劳是世界上最受欢迎的快餐公司之一。麦当劳建立市场细分的方式仍然是个谜。尽管网上有多篇文章讨论麦当劳的营销策略,但没有一篇文章清楚地指出麦当劳利用不同的方法来建立其营销细分。为了分析麦当劳建立市场细分的方法,我们访问了七个不同国家的麦当劳网站,并从网站上的官方菜单列表中提取产品类型信息。这七个国家代表了七大洲,而南极洲没有被考虑在内。之所以选择印度和中国,是因为它们是地球上人口最多的国家。然后,列出了麦当劳在建立营销细分中使用的每一种方法,并分析了这些方法如何对整体结构做出贡献。这些方法各有优缺点。同时,五年的总回报率表明,这几年麦当劳已经赢得了顾客的心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Analysis on Marketing Segmentation of McDonald's
McDonald's is one of the most popular fast-food restaurants companies in the world. The way McDonald's built its marketing segmentation remains mysterious. Though there are multiple articles online discussing its marketing strategy, none of them clearly indicate the different approaches McDonald's utilized to build its marketing segmentation. In order to analyze McDonald's approaches to build marketing segmentation, seven different countries’ McDonald's websites are visited and the product types information from the official menu list on the websites are extracted. These seven countries represent seven continents while Antarctica is not considered. India and China are chosen since they are the most populated countries on the Earth. Then, every approach that McDonald's using in building marketing segmentation is listed out and how these approaches contribute to the overall structure is analyzed. The approaches all have advantages and drawbacks at the same time. Meanwhile, the five-year total return rates indicate that McDonald's has won its customers’ hearts in these several years.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Analysis of the Profit Model of Online Education Companies Research on Sports Economic Model under the Background of New Media: Tencent NBA as an Example Forensic and Anomaly Detection Using Generalized Audit Software Iot-SPA Billing System to Improve the Coffee Recollection in Beneficio Rio Frio, Honduras, Santa BÁRbara Analysis of Financial Risk Management of E-commerce Enterprises Based on Big Data
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1