Statistical analysis and countermeasures of major power customer loss

Abstract

This paper defines the loss of major power customer from the perspective of customer relationship management with a combination of qualitative analysis and quantitative analysis. The life cycle theory and risk management theory are used to analyze and discuss the factors of the loss of major power customers. The analysis model of major power customer loss based on evolutionary game is constructed, and empirical research is carried out by using the survey data. From the perspective of quantitative analysis, the method of variable selection and variable optimization selection for power customer churn early warning model is studied. Based on the comparative analysis of customer churn early warning model, a logistic regression based customer churn warning model is constructed. The effectiveness of the model is verified numerically with the survey data. Finally, the coping strategies such as differentiated service, organizational structure adaptability adjustment strategy and information system upgrade service are proposed.