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Customer Churn Warning with Machine Learning

  • Zuotian Wen
  • Jiali YanEmail author
  • Liya Zhou
  • Yanxun Liu
  • Kebin Zhu
  • Zhu Guo
  • Yan Li
  • Fuquan Zhang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 891)

Abstract

Customer churn refers to the phenomenon of suspension of cooperation between customers and enterprises due to the implementation of various marketing methods. The customer churn warning refers to revealing the customer churn pattern hidden behind the data by analyzing the payment behavior, business behavior and basic attributes of the customer within a certain period of time, predicting the probability of the customer’s loss in the future and the possible reasons, and then guide the company to carry out customer retention work. After the forecast, the system can list the possible lost customers. And then the marketers can conduct precise marketing and improve marketing success rate. In this paper, we present a algorithm named Customer Churn Warning (CCW) to alert customers to churn.

Keywords

CCW Machine learning Customer churn warning Customer retention Intelligent computing 

Notes

Acknowledgement

The customer churn early warning model received the best creative solutions in the Bank of China (“Technology Leading” Innovation Forum) and has been included in key implementation projects. Thanks to the teammates who contributed to the competition, as well as the leading colleagues who planned to organize the competition, and the leaders who valued the project.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Zuotian Wen
    • 1
  • Jiali Yan
    • 1
    Email author
  • Liya Zhou
    • 1
  • Yanxun Liu
    • 1
  • Kebin Zhu
    • 1
  • Zhu Guo
    • 1
  • Yan Li
    • 1
  • Fuquan Zhang
    • 2
  1. 1.Bank of ChinaBeijingChina
  2. 2.Fujian Provincial Key Laboratory of Information Processing and Intelligent ControlMinjing UniversityFuzhouChina

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