Sports Consumer Behavior Based on Integrated Data in the Context of Big Data

Abstract

With the acceleration of big data applications and the development of informatization, the demand for personalized information has become a trend. More and more people are receiving and searching information according to their personal needs. In the era of big data, the styles of online platforms and consumers shopping habits are diverse, and consumer data collection and behavior analysis are gradually expanding to more data sources. In the context of big data, it is of great significance to study the consumer behavior of sports consumers based on network integrated data. This article collects demographic data, shopping behavior, consumption intentions and other information through traditional questionnaire surveys and focus group interviews. Used to study and analyze the behavior of sports consumers, the data shows that the influence of sports consumption awareness accounts for 28.5%. This article compares traditional consumer behavior research models and sports data processing methods based on network-integrated data in the context of big data, and attempts to provide references for sports consumption.