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Segmentation: CX Lifetime Value Prediction
AI models pinpoint high-value customers, driving targeted engagement and long-term growth.
Goal
- To identify high, medium, and low-value customer segments.
- To provide personalized offers and experiences to customers.
- To allocate resources efficiently to businesses for targeting customers with the highest CLV potential and predict customer churn.
Technique
- Feature Engineering, Segmentation Techniques, RFM Analysis, Clustering and classification modeling, Visualization.
Impact
- Guided resource allocation, marketing strategies, and customer service efforts.
- Offering cross-selling and upselling opportunities to customers with CLV potential.
- CLV helps businesses identify risks associated with over-reliance that encourages diversification and risk management strategies.
