Your Algorithm. Trained on Your Wins.
Most data platforms are static. 8020IQ learns. Report your wins and losses back into the system. The model retrains and your scores get sharper every cycle.
The More You Use It,
the Better It Gets.
Data platforms that don’t learn from outcomes are just expensive spreadsheets. The Feedback Engine is what separates 8020IQ from everything else in the market.
The Model Retrains on Your Outcomes
Every deal you close, or pass on, teaches the model something. Report the result, and it adjusts. No manual tuning, no intervention required.
Scores Get Sharper Every Cycle
Cycle 1 and Cycle 7 look nothing alike. With each retrain, false positives drop and high-probability leads get tighter. The longer you use it, the better it works.
Static Platforms Don't Learn
Most data platforms pull the same fields and export the same lists every month. 8020IQ learns from what you did with the list. That's the difference.
Full Outcome Attribution
Every closed deal traced back to its score, its data signals, and the campaign that sourced it. You know exactly what's working and why.
“Most data platforms are static. 8020IQ learns. The more you use it, the better it gets. The harder it becomes for competitors to catch up.”
Data → Score → Action → Outcome → Feedback → Better Data.
One Engine. Trained Differently for Each Vertical.
The Feedback Engine doesn’t use a generic model. What defines a “good deal” for a real estate investor is completely different from what defines a “good job” for a roofing contractor. Each vertical gets its own training logic.
The Feedback Engine learns from your closed acquisitions: property type, location, price point, distress signals. Every deal refines what a “good deal” looks like for YOUR buy box.
The Feedback Engine learns from completed roof replacements: material type, roof age, homeowner equity, neighborhood patterns. Every job sharpens which homeowners are most likely to say yes.
Close a Deal. Report It. Get Better Scores.
Close a Deal
You close an acquisition, or pass on one. Any outcome is signal. We want to know both what you bought and what you didn't.
Report the Outcome
Log the result back into the platform. Address, outcome type, purchase price if applicable. Takes 60 seconds. Your strategist can do it for you.
Model Retrains
Every reported outcome feeds the ML pipeline. The model retrains on a 90-day rolling window. Weights adjust. Score logic updates.
Better Scores Next Month
Next delivery cycle, scores reflect what you've learned. High-signal patterns you've confirmed get amplified. Noise gets filtered out.
Ready to See It in Action?
See how the Feedback Engine turns every closed deal into a sharper model and every cycle into a wider gap between you and your competition.