Improving User Retention and Revenue by using Xgboost

In the fiercely competitive market of the communication industry, traditional businesses are gradually stagnating. Various operators have successively launched low-priced products with high traffic, carried out large-scale network marketing and number portability, which has led to the increasingly prominent problem of preservation surge. It is urgent to build a management system for improving user retention and revenue. In order to solve this problem, this paper proposes an integrated system by models building and data mining. Based on the comparison with other two models, it indicates that the model built in this paper has more accurate identification and prediction performance for risk users. And, differentiated product strategies and marketing plans are developed for different user groups to improve user satisfaction and loyalty, which promotes stable revenue growth for enterprises in high-quality development.