Key point — Your past deal data lets our ML models reverse-engineer your success pattern. Clients who share deal history receive leads calibrated to their actual deal profile, not generic market averages.
What we do with your data
We analyze the properties you have previously closed to identify the common factors — location, equity range, distress type, property characteristics — and use those patterns to:
- Calibrate lead scoring to match your actual deal profile
- Optimize BuyBox filters based on what has historically converted
- Surface hidden opportunities that match your success pattern but fall outside your current criteria
Revenue per deal matters
Revenue data adds a second dimension. Knowing which deals produced the highest returns lets us weight the model toward high-value opportunities, not just high-volume ones. The result: fewer, better leads with stronger revenue potential.
What to share
| Property address | Where each deal closed |
| Deal type | Wholesale, fix-and-flip, buy-and-hold, etc. |
| Revenue / profit | Assignment fee, net profit, or gross revenue |
| Close date | Approximate timing |
Is my data kept confidential?
Absolutely. Your deal data is used solely to calibrate your own lead scoring model. It is never shared with other clients or used outside your account.
