Customer Value Measurement Under the Background of E-commerce

Abstract

Online shopping has become the mainstream of shopping in recent years. With the rapid development of ecommerce, online shopping has basically entered a mature stage, and the customer base is basically stable. Improvement of the existing customer value has become the key to the development of e-commerce enterprises. This paper discusses how e-commerce enterprises analyze customer value and how to improve customer value from three perspectives. Referring to the data of Alibaba and Amazon, the author uses natural language processing and other methods for data analysis. By analyzing the goods purchased by customers, the consumption level and preference of customers can be inferred. By recommending similar goods on the home page, the customer value can be improved. The amount of time a customer spends on an application is directly proportional to consumption. Emotional interaction can promote consumption. Starting from customer evaluation, we can improve the online shopping platform intuitively and enhance customer value.