This presentation explores advanced techniques for predicting customer churn in businesses with high customer turnover rates. We discuss how machine learning and data analytics can be leveraged to identify at-risk customers and implement effective retention strategies.

Key Topics

• Advanced churn prediction models
• Customer behavior analysis
• Early warning indicators
• Retention strategy implementation

Location and Date

iiWAS
Bali, Indonesia
2023