원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.10 No.11
2015.11
pp.95-104
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Customer churn analysis has become an important focus of corporate marketing. It will be a great help to profitability if there is a method can find losing customers in time. In the paper, a method based on RFM and Cross-correlation model is proposed. Firstly, the customer’s value is calculated by RFM. Secondly, the typical losing curves of customer value are matched via cross-correlation. And finally, integrated with social network analysis (SNA) and community detection, the group of potential losing customers are revealed. The effectiveness of the presented method has been proven in a dataset of retail sales records.
목차
Abstract
1. Introduction
2. Method to Find Churn Customer Group Based on Cross-Correlation Model
2.1. RFM Customer Value Calculation
2.2. Correlation Model Matching
2.3. Community Detection
3. Simulation Results and Analysis
5. Conclusion
References
1. Introduction
2. Method to Find Churn Customer Group Based on Cross-Correlation Model
2.1. RFM Customer Value Calculation
2.2. Correlation Model Matching
2.3. Community Detection
3. Simulation Results and Analysis
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보