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Modeled Playbook: Turning 12 Months of Real-Estate Leads Into a Prioritized Follow-Up Queue
The model scores the last 12 months of leads by declared intent, recency, engagement, property context, and prior disposition, then creates a human follow-up queue with compliant nurture for lower-priority records. It does not infer protected characteristics or invent buying readiness.
The short answer
The model scores the last 12 months of leads by declared intent, recency, engagement, property context, and prior disposition, then creates a human follow-up queue with compliant nurture for lower-priority records. It does not infer protected characteristics or invent buying readiness.
Modeled scenario
A team has a year of portal, website, open-house, and referral leads with inconsistent stages. The pilot repairs identity and consent before prioritizing follow-up.
Declared assumptions
Replace every input with verified business data before making a forecast or investment decision.
- Original source, timestamps, owner, notes, and contactability can be recovered.
- Brokerage rules define eligible outreach and required disclosures.
- Closed, represented, opted-out, and bad-data records are suppressed.
- Scoring uses behavioral and transaction-relevant data only.
- Agents have capacity and a service target for assigned responses.
Playbook architecture
Create one eligible cohort, preserve source and consent, assign an owner, use event-based follow-up, stop on response or outcome, and surface exceptions. The real estate team—not the workflow—owns judgment and commitments.
Calculation method
Incremental appointments = eligible reactivation cohort × (pilot appointment rate − comparable baseline). Track closed transactions separately because long cycles and outside factors weaken direct attribution.
Customer journey
Acknowledge context, make one clear next step, vary follow-up by intent, stop irrelevant sequences immediately after response, and retain an easy human path. Escalate high-value, sensitive, or ambiguous situations.
Operating dashboard
Track eligibility, contactability, response, appointment or next-step conversion, completion, value, time to action, opt-outs, complaints, exceptions, and cohort age.
- Portal lead response time
- Contact and consultation rate by source
- Agent follow-up SLA
- Stale-lead requalification rate
- Appointment-to-representation rate
- Opt-out and fair-housing exception rate
Guardrails
Do not use protected-class proxies, steering criteria, false urgency, or undisclosed automated claims about property or financing. Fair housing, brokerage, advertising, consent, agency, listing, and recordkeeping rules vary. Keep professional judgment and required disclosures with licensed teams.
Pilot and scale
Test on a small, representative cohort. Compare against a baseline or holdout where practical, review conversations and exceptions, correct the system, then scale in measured waves.