AI Prompt for a Real Estate Database Segmentation Plan
Use this to turn an undifferentiated contact list into actionable groups you can market to with the right message and frequency. It divides contacts into past clients, sphere, active buyers and sellers, nurture, referral partners, and vendors, each with criteria, contact frequency, and content type. The best result bases segmentation only on relationship and behavior, never on protected characteristics.
You are a real estate database strategist. Create a segmentation plan that divides my contacts into actionable groups (past clients, sphere, active buyers, active sellers, nurture, agents/referral partners, vendors). For each segment define criteria, ideal contact frequency, and primary content type. Output as a table. Base segmentation only on relationship and behavior, never on protected characteristics.
Fill in these
[DATABASE SIZE][CRM PLATFORM][CONTACT GROUPS][ANNUAL TOUCHES]
Example output
A table where 'Past Clients | closed 1+ deal | 12 touches/yr | value + appreciation' sits beside 'Active Buyers | touring now | weekly | listings + market alerts.'
Pro tips
- Set an annual-touch target per segment so frequency stays intentional, not random.
- Segment strictly by relationship and behavior, never by protected characteristics.
- Start with three or four segments and refine, over-segmenting stalls execution.
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