Real Estate — Sphere-of-Influence Referral Ladder

Activate when: a real estate agent wants repeat + referral business instead of chasing cold leads; 'where's my next deal coming from', building a sphere-of-influence / past-client nurture, database marketing. Do NOT activate when: the agent has no past clients/contacts yet (start with lead-gen basics first).

Industry front door for customer-relationship-ladder. Adds domain triggers, example, packs. Parent Process unchanged.

Activate when: building repeat/referral pipeline; a database sitting idle; deciding nurture cadence; turning one closing into a lifetime client + referrals. Do NOT activate when: no existing contacts to nurture.

Why this variant

The parent customer-relationship-ladder moves contacts up rungs stranger → advocate. Real estate is a low-frequency, high-referral business: agents who systematically nurture their sphere and past clients get repeat + referral deals at a fraction of cold-lead cost. The ladder makes that a system, not luck.

Domain inputs → the ladder

Rungs and the trigger that lifts each:

• Contact → client (first transaction).
• Client → advocate (post-close value: anniversary of purchase, market updates on their home value, referral ask at satisfaction peak).
• Advocate → repeat source (they refer + return for the next move). Each rung = a scheduled touch (feed a content-calendar/CRM agent), not a hope.

Worked example

Agent closes a buyer, then goes silent until the client resurfaces years later (often with another agent). → Ladder fix: annual home-anniversary + periodic home-value updates + a referral ask right after a smooth close. One transaction becomes repeat + referrals.

Packs

• Solo agent: 33-touch/year sphere plan; past-client home-value updates.
• Team: database segmentation (A/B/C) + automated nurture cadence.

Red flags

• Database that's never contacted between deals.
• Referral never asked, or asked at a neutral moment.
• Buying cold leads while ignoring warm past clients.

Verification

• Sphere/past-client database segmented
• Scheduled nurture cadence in place
• Referral ask timed to satisfaction peak
• Repeat/advocate rung tracked, not just first deal

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Part of deciqAI Knowledge Skills — 223 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. See it run → https://www.deciqai.com/c/realtor-sphere-of-influence-ladder · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.