Research On Analytic Customer Relationship Management Of Oriented E-business

With the development and application of E-Business,customer relationship management(CRM) on the research is becoming the forefront of management issues, in-depth study of information technology in e-commerce sites in customer relationship management applications, has important theoretical significance and application value.The basic conception of E-Business, customer relationship management and analytical customer relationship management are discussed on.The research significance of customer relationship management of oriented E-Business is analysised. Research status of customer segmentation,whoes method includes customer basic information segmentation,customer psychological characteristics segmentation and interests segmentation,is sumed up.RFM model is focus introduced. Research status of the keep and the loss of customer,whoes method includes customer loyalty, risk function and analysis of surviving,data mine classification model,is sumed up.Customer segmentation of Oriented E-Business is analysised,as well as characteristics of customer segmentation in E-Business. According to characteristics of E-Business,the paper presents e value of the web site,and gives a method of calculation to compute e value of the web site. Combined with RFM model,which is widely used and recognized,the paper builts RFME model as customer value in E-Business,and using K-means method to segment customers. Based on RFME model,customers are segmented well to provide the basis for a Appropriate marketing method.Prediction model of the keep and the loss of customer of oriented E-Business is analysised.The paper discusses on the theory of and research methods,as well as characteristics of customer segmentation in E-Business.The paper discusses on the theory of the keep and loss of customer and research methods,as well as characteristics of the keep and loss of customer in E-Business.By comparing a single data mining model and Adaboost combined model,the paper illustrates the advantages of the combined model,and given a Adaboost model based on misclassify cost. AdaBoost model is used in to the keep and the loss prediction to lift accuracy of prediction and reduce cost of misclassify,reduce the loss of customers, improve the effectiveness,in E-Business.RFME customer value segmentation model and AdaBoost prediction model based on misclassify cost of the keep and the loss of customer are analysised according to characteristics of forest production E-Business. According to the status of Shanghai Wood web site,the paper uses the up two models to make an empirical analysis.