Analysis of the relationship between individual traits and marketing effect of e-commerce marketers based on large data analysis

Abstract

In recent years, large data analysis method has been widely used in many fields, such as environmental art design, computer technology application enterprise investment and so on. With the popularity of online consumption and payment, large data technology is more and more widely used in e-commerce. This paper mainly analyzes the relationship between the individual traits of e-commerce marketers and the marketing effect based on large data analysis. First, it simply understands the concept of large data and the traits of large data, and then designs the relationship index and the relationship model according to the relationship between the two. In order to further study the relationship between the individual traits of e-commerce marketers and marketing effect, this paper selects two models: one is the relationship between different individual traits and marketing effect, the other is the relationship between different e-commerce platforms and marketing effect. Finally, it can be concluded that the individual traits of e-commerce marketers have a great impact on the marketing effect, and e-commerce marketers with strong personal charm often get more profits, accounting for 60% of the total marketing results.