大数据时代消费者行为分析与个性化营销策略探讨

Fengping Zhao
{"title":"大数据时代消费者行为分析与个性化营销策略探讨","authors":"Fengping Zhao","doi":"10.61173/be5jey03","DOIUrl":null,"url":null,"abstract":"\n\n\nThis paper analyzes consumer behavior in the era of big data and explores personalized marketing strategies. Companies can gain valuable insights to develop customized marketing strategies using data mining techniques to analyze consumer behavior. This paper discusses the challenges and opportunities of big data in consumer behavior analysis and presents several case studies to illustrate effective personalized marketing approaches. The findings suggest that utilizing big data can significantly enhance the effectiveness of marketing strategies, leading to increased customer satisfaction and loyalty.\n\n\n","PeriodicalId":373664,"journal":{"name":"Interdisciplinary Humanities and Communication Studies","volume":"323 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis of Consumer Behavior and Discussion of Personalized Marketing Strategy in the Era of Big Data\",\"authors\":\"Fengping Zhao\",\"doi\":\"10.61173/be5jey03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\n\\nThis paper analyzes consumer behavior in the era of big data and explores personalized marketing strategies. Companies can gain valuable insights to develop customized marketing strategies using data mining techniques to analyze consumer behavior. This paper discusses the challenges and opportunities of big data in consumer behavior analysis and presents several case studies to illustrate effective personalized marketing approaches. The findings suggest that utilizing big data can significantly enhance the effectiveness of marketing strategies, leading to increased customer satisfaction and loyalty.\\n\\n\\n\",\"PeriodicalId\":373664,\"journal\":{\"name\":\"Interdisciplinary Humanities and Communication Studies\",\"volume\":\"323 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Interdisciplinary Humanities and Communication Studies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.61173/be5jey03\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interdisciplinary Humanities and Communication Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.61173/be5jey03","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

本文分析了大数据时代的消费者行为,探讨了个性化营销策略。利用数据挖掘技术分析消费者行为,公司可以获得有价值的见解,从而制定定制化的营销策略。本文讨论了大数据在消费者行为分析中的挑战和机遇,并提出了几个案例研究来说明有效的个性化营销方法。研究结果表明,利用大数据可以显著提高营销策略的有效性,从而提高客户满意度和忠诚度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Consumer Behavior and Discussion of Personalized Marketing Strategy in the Era of Big Data
This paper analyzes consumer behavior in the era of big data and explores personalized marketing strategies. Companies can gain valuable insights to develop customized marketing strategies using data mining techniques to analyze consumer behavior. This paper discusses the challenges and opportunities of big data in consumer behavior analysis and presents several case studies to illustrate effective personalized marketing approaches. The findings suggest that utilizing big data can significantly enhance the effectiveness of marketing strategies, leading to increased customer satisfaction and loyalty.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信