The Study on High-Value User Identification of Localized Information Platform

In the current business environment, enterprise competition is fierce, high value customers are increasingly important to enterprises. However, with the development of social networks, the traditional RFM model of user value stratification is not accurate enough. Therefore, this paper introduces the characteristics of customer social attributes and establishes RFMS model to classify customer groups more accurately and effectively and identify high-value customers. Thus, it can help enterprises allocate resources reasonably and carry out customer operation in a targeted way.