Analysis and Research on E-Commerce Customer Behavior Under Digital Economy
Firstly,by combing relevant literature and investigating actual data,this paper sets 16 secondary indicators from three dimensions of e-commerce customer characteristics,current value and potential value under the background of digital economy,and builds a new e-commerce customer classification index system based on customer value.Secondly,the questionnaire survey method is used to collect the relevant data,and the BP neural network algorithm is used to classify the customers into four categories after the data is normalized.The effectiveness of the model is proved by simulation test.Finally,according to the value of e-commerce customers from the perspective of enterprises,it gives customer management suggestions.
digital economycustomer valuecustomer classificationBP neural network
NETL
NSTL
万方数据
