Business, Management and Accounting
8 years ago

Data mining predicts customer churn, revolutionizing after sales service strategies!

International Journal of Intelligent Systems and Applications in Engineering
Customer Satisfaction Using Data Mining Approach
Burcu Oralhan, Kumru Uyar

Paper Summary

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The article explores how companies can use data mining to predict customer churn and improve satisfaction. By analyzing after sales service data, researchers identified key factors like customer type, usage, and reasons for leaving. They used data mining algorithms to compare and cluster the information, ultimately determining the most influential variables for predicting customer behavior. The study highlights the importance of after sales service in building customer loyalty and brand value.