The 6 public record triggers that find motivated sellers before anyone else calls them

After pulling data across hundreds of thousands of county records, the sellers who actually close fastest aren't the ones responding to "We Buy Houses" mailers.

They're the ones showing up in these 6 specific filings:

1. Appointment of Substitute Trustee — This is the one most wholesalers miss. Filed in county court when foreclosure is actively moving forward (common in Texas). By the time it hits this stage the seller is running out of time and knows it.

2. Pre-Foreclosure / Lis Pendens — Everyone knows this one but most are working it too late. The window is the 30-60 days after filing before the attorneys take over.

3. Affidavit of Heirship — Heirs who inherited a property but didn't go through full probate. They want to split cash and move on. No emotional attachment to the house.

4. Probate — Slower timeline but very little competition. Most investors skip it because of the process. That's exactly why you shouldn't.

5. Sheriff's Tax Sale pending — The county has already scheduled the auction. These sellers are past motivated — they're desperate.

6. Combining signals — A property showing up in 3+ of these categories at once? That's your highest-probability lead. One phone call.

All of this is public record. County clerk, tax collector, court filings — most of it free or cheap to pull.

What triggers are you guys working that most wholesalers sleep on?

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u/Tommtfl — 6 days ago
▲ 9 r/LifeInsurance+1 crossposts

I used 18 public data sources to identify 400,000 homeowners who need home repairs — here's the stack #data #homeservices

I mapped 400,000+ homeowners who need home services in Florida — with their phone numbers

Not selling anything here — just sharing what I built because I think this sub will appreciate the approach.

I work in local marketing for home service contractors (HVAC, plumbing, electrical, solar, roofing). The #1 complaint from every contractor I talk to: "I'm paying $80-$150 per lead on HomeAdvisor and competing with 4 other companies for the same phone call."

So I built a system that flips the model. Instead of waiting for homeowners to search, I used public data to identify which homes are most likely to need service — before they even know they need it.

The data stack (all public or licensed sources):

  • FL Dept of Revenue property records (879K parcels with year built)
  • U.S. Census (income, home value, owner occupancy by ZIP)
  • NOAA (climate stress, storm data)
  • EIA (utility rates by state)
  • PermitStack (who's pulling permits and where)
  • BatchSkipTracing (phone + email enrichment — 96% phone hit rate)
  • USDA/USGS (soil corrosivity, water table — yes, this matters for plumbing)
  • 18 sources total

What it identifies per trade:

  • HVAC: 125,226 homes still running R-22 refrigerant (banned, $600-$1,500/recharge vs $8,500 new system)
  • Electrical: 95,000 homes with outdated 100A panels + 28,000 with aluminum wiring (insurance flagging)
  • Plumbing: 38,200 cast iron drain homes + 24,800 polybutylene pipe (class-action defective)
  • Solar: 90,000 income-qualified homes with compatible roofs and above-average utility rates

Each report generates a proprietary demand score (0-100), ranks ZIP codes, maps competitors, calculates ROI, and includes a door-knock script.

The leads come with verified phone numbers (96%) and emails (85%). Exclusive per territory — one contractor per trade per zone.

Happy to answer questions about the data pipeline, the scoring models, or how the skip tracing works. Not trying to pitch — genuinely curious if anyone else is building something similar for other verticals.

Edit: If you want to see what the output looks like, the product pages are at localmarketwins.com/hvac-intelligence (or /electrical-intelligence, /solar-intelligence, /plumbing-intelligence). Free report available if you want to test your own ZIP code.

u/Tommtfl — 6 days ago