Review on the Use of Data Analysis for Customer Segmentation and Personalization in Marketing

被引:0
作者
Yiwei Zhang [1 ]
Zhen Xu [2 ]
Zhimeng Zhang [3 ]
机构
[1] Nanjing Foreign Language School
[2] College of Art&science, New York Univerisity
[3] Wuhan Britain-China School
关键词
Data analysis; Customer Segmentation; Personalization; K-means; Regression;
会议名称
The 2nd International Conference on Financial Technology and Business Analysis (ICFTBA 2023)
会议时间
2024-03-01
会议地点
英国牛津
中图分类号
F274 [企业供销管理]
学科分类号
1201
类型
摘要
Marketing is a part of business that requires considering countless variables and making accurate decisions. With the development of computer science and algorithms, the advancement of data analysis methods can be applied in this field to bring great convenience. Despite a large number of data analysis models being constructed, there is a lack of review articles that need to summarize algorithms created by previous generations.This paper starts with a lookback to the basic descriptive and predictive data analysis methods following with the introduction and further explanation of customer segmentation and personalization. Combined with the basic marketing methods, we studied the application of data analytics to business industry. Moreover, this paper presents case study that highlight the application of data analysis in different areas: online retail, e-commerce and transportation. Finally we use each case to find utilization of data analytics to derive meaningful insights and facilitation decision-making.
引用
收藏
页码:267 / 280
页数:14
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