Stacking Data for Better Deals
Stacking Data for Better Deals
Data stacking layers multiple independent signals to identify properties where every indicator points to a motivated seller.
Why Stack?
A single signal is noise. Multiple aligned signals are a signal.
- Property A: Tax delinquent, single signal
- Property B: Tax delinquent + lis pendens + code violation + absentee + high equity
Both are tax delinquent. Property B has a far stronger motivated-seller thesis.
Classic Stacks
Tax Delinquent + Absentee + High Equity
Foundation stack for wholesale and value-add plays. Filter: Tax Delinquent ✓ + Absentee Owner ✓ + Equity ≥ 25%
Foreclosure Stack: Lis Pendens + Short Timeline + Equity
Early-stage foreclosures where the owner still has equity. Filter: Lis Pendens ✓ + Filing Date (last 60 days) + Equity ≥ 20%
Deferred Maintenance Stack: Code Violation + Absentee + Long Ownership
Long-held absentee properties with significant equity from appreciation. Filter: Code Violations ✓ + Absentee Owner ✓ + Years Owned ≥ 10 + Single property
Estate Stack: Probate + Absentee + Out-of-State Owner
Inherited property with out-of-state heirs — highest-frequency probate scenario. Filter: Probate ✓ + Absentee Owner ✓ + Out-of-State Owner ✓
Using AI Scoring to Rank Your Stack
After building a filter stack, run an AI scoring pass. The AI considers all signals together, including interactions, and surfaces combinations you might miss in manual review.
Save each stack as a named search. Check weekly for new properties.
Distress Signals Overview → Building a Buy Box →