Consumer Behavior Analysis from Bigdata Insights: Evidence from YouTube, Douyin and Bilibili

Haoran Li

doi:10.54097/hbem.v7i.6831

Authors

Haoran Li

DOI:

https://doi.org/10.54097/hbem.v7i.6831

Keywords:

Consumer Behavior Analysis, Online Video Platform (OVP), Big Data.

Abstract

Some businesses, in the age of intense rivalry and rapid expansion of big data, have started paying attention to the actions of their customers, using big data analysis in order to evaluate and keep tabs on their customers. By evaluating user activity using big data, businesses are better able to comprehend the requirements of customers and provide them with more individualized offerings. This article estimates the instances of YouTube, Douyin, and Bilibili in order to highlight the impact of big data on consumer behavior as well as the use of big data in the study of consumer behavior. In the area of OVP, three separate businesses used a variety of approaches to big data processing in order to carry out in-depth consumer research, and the outcomes of this study were all deemed acceptable. In conclusion, this article discusses some of the current limitations of big data as well as the prospects for the future, with the goal of helping as well as various insights to businesses if they decide to conduct in-depth research on customers based on big data technology in the future.

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