Research On The N Bank Customer Response Rate Model Based On Data Mining

With the development of China's economy into the "new normal",the banks are faced with multiple challenges such as interest rate marketization,Internet finance,asset price bubbles,etc.,and the bank products become more homogeneous today,"customer-centric" Of the psychological,increase customer stickiness,become China's major commercial banks of the competitive area.Customer relationship management(CRM)plays an important role in the management of commercial banks.With the dawn of the data age,customer relationship management is a very important method is data mining,and analysis of the characteristics of customers,can play a very important role.Therefore,based on the research of customer relationship management of the N bank,as the case,to enhance the N bank fund investment product marketing response rate based on customer relationship management and data mining,combining theory and practice,put forward the improvement strategy of N bank customer relationship management optimization,promoting the development of the N model of bank customer relationship management and marketing strategy.This paper not only uses the method of data mining and data mining standard procedures,data mining on individual customer of N bank,the fund investment products customer response rate model,and analyzes the N bank customer relationship management in marketing,to explore new marketing strategies and how to use customer relationship management.Provide strong support to N bank customer relationship management and business decision making,in order to guide the practice.