Impact of Recommending Applications on Shopping Decisions in the Fitness Food Industry
Multi-stage sampling is used to select the comprehensive survey on fitness food,recommending content and applications of eight cities nationwide,and the results are analyzed by using gray correlation model,regression model and so on.The results of the study show that the main audience of fitness food is the 18-26-year-old student population who are in the new first-tier cities.And driven by the psychology of seeking truth and sameness,the audience emphasizes the authenticity of recommending content and prefers to buy"Star Style".The social and content-based applications are more popular among the audience.The audience is more satisfied with the quality guarantee period of fitness food.
NETL
NSTL
万方数据
