The Design And Implementation Of User Loyalty Grade Management System Based On Points Strategy

With the popularity of the Internet,online shopping has been integrated into people's lives.The market competition of online mall is becoming more and more fierce.In order to occupy the market and retain users,the major e-commerce platforms have conducted a lot of research on user loyalty.User loyalty,also known as user viscosity,refers to the tendency of users' preference for services and repeated consumption.Relevant research shows that transfer cost is the key driving factor of e-commerce platform user loyalty.Transfer cost refers to the cost of transferring users from one product or service to another.Based on the theory of transfer cost,we can think that giving users preferential treatment or rights and interests can enhance the loyalty of users.In view of the above problems,this thesis designs and implements a loyalty grade management system based on points strategy.It adopts a method of stimulating users,and help operators improve their marketing strategy.The system is based on the following research ideas: According to the user's activity and consumption records in a certain period of time,the e-commerce platform can divide the level of user loyalty.User loyalty changes over time,and we periodically update the level of users.The user's points will be directly cashed into grades,and each grade sets the rights and interests of coupons and special offers.Specifically,the work of this thesis is summarized as follows:1.For operators,realize the configuration of benefits and growth rules;2.It provides customers with the functions of querying points and grades,and col-lecting preferential offers.Redis is used to implement caching to ensure the stability of the system;3.Realize asynchronous task module based on Kafka message system,processing massive order data,mining useful information to calculate the user's points;4.Users are upgraded and demoted periodically by using timing task scheduling,and massive level change records are stored by using Elasticsearch.In addition, distributed locks and multi coroutines are used to improve the efficiency of data batch processing.Version 1.0 of customer loyalty level management system has been released in Indonesia,Singapore and other regions in July 2020,It worked well during the trial operation.During the formal operation in September,the operators have achieved good results in marketing activities through the system,The number of high-level users has an obvious upward trend.This shows that the system meets the operation requirements of e-commerce platform.