Build a customer segmentation model for [BUSINESS TYPE].
Data available: [DESCRIBE]
Provide:
1. Segmentation approaches: Demographic, behavioral, RFM, psychographic, needs-based
2. RFM analysis: Recency, Frequency, Monetary scoring methodology
3. Behavioral segments: Define 5-8 segments based on usage patterns
4. SQL queries: Code to generate each segment from your data
5. Segment profiles: For each segment — name, description, size, value, behavior
6. Marketing strategy per segment: Messaging, channel, offer, frequency
7. Visualization: How to present segments to stakeholders
8. Automation: How to dynamically assign customers to segments
9. Predictive: Which segment a new customer is likely to fall into
10. Review cadence: How often to refresh the segmentation
Build a customer segmentation model for [BUSINESS TYPE].
Data available: [DESCRIBE]
Provide:
1. Segmentation approaches: Demographic, behavioral, RFM, psychographic, needs-based
2. RFM analysis: Recency, Frequency, Monetary scoring methodology
3. Behavioral segments: Define 5-8 segments based on usage patterns
4. SQL queries: Code to generate each segment from your data
5. Segment profiles: For each segment — name, description, size, value, behavior
6. Marketing strategy per segment: Messaging, channel, offer, frequency
7. Visualization: How to present segments to stakeholders
8. Automation: How to dynamically assign customers to segments
9. Predictive: Which segment a new customer is likely to fall into
10. Review cadence: How often to refresh the segmentation
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