Application of Big Data and Statistical Modeling to Enable Consumer Behavior Analysis in the Digital Economy Landscape

Journal: Modern Economics & Management Forum DOI: 10.32629/memf.v6i3.4013

Haoran Shen

Nanjing University of Finance and Economics, Nanjing 210000, Jiangsu, China

Abstract

The rapid development of digital economy has changed the consumer behavior and market operation logic, and the traditional research methods can no longer cope with the diverse data sources and behavioral dynamics. This paper discusses the application of big data and statistical modeling in consumer behavior analysis, firstly, analyzing the change of consumer behavior in digital economy, including the evolution of information acquisition, decision path and platform interaction mechanism; secondly, sorting out the practical application of big data in user profiling, sentiment analysis and behavior prediction; finally, combining multiple regression, time series and machine learning methods, mining the data laws behind consumer behavior. data laws behind consumer behavior. The study finds that data-driven and intelligent modeling is reconstructing the paradigm of consumption research, providing strong support for enterprise marketing optimization and policy making.

Keywords

digital economy; consumer behavior; big data analysis; statistical modeling; user profiling

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