Consumer Behavior Based on Network Integration Data in the Context of Big Data

In the modern society with the prevalence of online consumption behavior and Internet technology, online big data has penetrated into various industries. As people gradually enter the era of data explosion, the consumption mode of consumer behavior has changed to some extent, and there are more diversified ways. Based on the era background of Internet information explosion, this study studies the consumer behavior based on online consumption under the condition of big data integration from the perspective of big data integration, combined with the current consumption situation of online consumer behavior. Based on the literature research at home and abroad, combined with the specific practice of online consumption, this paper focuses on the factors of website platform affecting online consumption behavior. Through the empirical research on the relationship between individual differences of consumers, product factors, safety factors, convenience factors, interaction factors and third-party evaluation factors and consumer behavior, this paper finds out the main factors that consumers pay attention to and worry about in the process of online consumption, as well as the importance of these factors. Then it provides the corresponding theoretical basis for the marketing strategy formulated by the e-commerce website platform, and promotes the development of online shopping and online marketing. The experimental results of this paper show that the factors evaluated by others play a very important role in the impact of online consumer behavior. After the analysis and summary of the collected survey samples, the average values of sample identity are calculated, which are 4.51, 4.41 and 4.35 respectively, and the number of identity is more than 100. The second is security and interactivity, which is also important factors affecting consumer behavior.