Customer Segmentation Model (Data)

Create a customer segmentation model for [BUSINESS TYPE].

Data available: [PURCHASE HISTORY / DEMOGRAPHICS / BEHAVIOR / SURVEY DATA]
Goal: [PERSONALIZATION / TARGETING / RETENTION / PRODUCT DEVELOPMENT]

Provide:
1. Segmentation approach: RFM, behavioral, needs-based, or value-based (recommendation)
2. Variable selection: which data points to include and why
3. Methodology: clustering algorithm or rule-based approach
4. Segment definitions: 4-6 distinct segments with names, characteristics, and size
5. Persona for each segment: demographic and psychographic profile
6. Value analysis: revenue and lifetime value per segment
7. Strategy per segment: marketing, pricing, product, and retention approach
8. Migration paths: how customers move between segments over time
9. SQL queries: to assign customers to segments from your database
10. Implementation: how to operationalize segments in your CRM and marketing tools

Create a customer segmentation model for [BUSINESS TYPE].

Data available: [PURCHASE HISTORY / DEMOGRAPHICS / BEHAVIOR / SURVEY DATA]
Goal: [PERSONALIZATION / TARGETING / RETENTION / PRODUCT DEVELOPMENT]

Provide:
1. Segmentation approach: RFM, behavioral, needs-based, or value-based (recommendation)
2. Variable selection: which data points to include and why
3. Methodology: clustering algorithm or rule-based approach
4. Segment definitions: 4-6 distinct segments with names, characteristics, and size
5. Persona for each segment: demographic and psychographic profile
6. Value analysis: revenue and lifetime value per segment
7. Strategy per segment: marketing, pricing, product, and retention approach
8. Migration paths: how customers move between segments over time
9. SQL queries: to assign customers to segments from your database
10. Implementation: how to operationalize segments in your CRM and marketing tools