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EPISODE 383

Target Smarter, Close Faster: The New Way to Grow Agent Referrals

Eric Levin, co-founder of Model Match — a full-funnel business development and real estate data platform built for mortgage and recruiting professionals · Wed, 23 Apr 2025
Agent ReferralsLead GenerationDatabase & Past ClientsAI & Technology

Eric Levin walks through how loan officers can use MLS transaction data and their own NMLS history to identify hidden referral opportunities, recapture lost agent market share, and build a smarter outreach pipeline. Best for LOs who feel like they're always chasing new agents when better ROI is sitting in their existing relationships.

The gap between you and your production goal is probably just a 5% market share increase with agents already sending you business — not finding new agents.

Takeaways you can run this week

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The playbook

  1. 1. Enter your NMLS ID in Model Match to surface all buyer and property connections from past transactions.
  2. 2. Identify agents in that list who are already referring you business.
  3. 3. Filter each agent's transaction history by loan type to spot product categories going to competitors.
  4. 4. Call agents where you're losing product types; use the script: 'I can see in a data tool that [loan type] business is going to [competitor] — I want that business, what can I do?'
  5. 5. For agents you haven't recently closed with, commit to attending their next closing.
  6. 6. For past borrowers, filter closed FHA/VA loans still current, check current LTV/equity/rate, and make 20 targeted refi/purchase calls.
  7. 7. Tag and track all contacts by stage, priority, and loan type inside the CRM; measure conversion rates per segment.

Worth quoting

“The gap between you and your goal might actually be as simple as looking at the agents already referring you business and increasing market share by 5% with each one.”
“She said, 'I didn't know that you wanted that business because he had never presented himself that way.'”

Best for

LOs who have closed 50+ deals but have never mined their own transaction history to identify which agents are splitting business with competitors.

Links from the show notes

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