The Application of Big Data Analysis in Consumer Behavior Research

This article explores the application of big data analysis in consumer behavior research and the challenges it faces. It provides a detailed overview of the current status of big data application in consumer behavior research, covering data sources, analysis methods, and their applications in market segmentation, personalized recommendation systems, brand management, and customer relationship management. Based on the main problems faced by big data, relevant response strategies are proposed. It is hoped that with the continuous development of technology, the research results of this article can provide more accurate market insights and competitive advantages for enterprises.

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Published
2024-08-23
DOI
https://doi.org/10.1145/3700058.3700080
Primary Topic
Customer churn and segmentation
Type
article
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article

The Application of Big Data Analysis in Consumer Behavior Research

Qianfan Peng
Customer churn and segmentation
article

The Application of Big Data Analysis in Consumer Behavior Research

Qianfan Peng
article en

Abstract

This article explores the application of big data analysis in consumer behavior research and the challenges it faces. It provides a detailed overview of the current status of big data application in consumer behavior research, covering data sources, analysis methods, and their applications in market segmentation, personalized recommendation systems, brand management, and customer relationship management. Based on the main problems faced by big data, relevant response strategies are proposed. It is hoped that with the continuous development of technology, the research results of this article can provide more accurate market insights and competitive advantages for enterprises.

Industrial and Commercial Bank of China (CN)
Openalex Percentile: Top 66%
Customer churn and segmentation
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