When a single search returns dozens of leads, deciding where to start is its own challenge. Offr AI's lead scoring — the Offr Score — is built to answer exactly that: which leads on this list deserve attention first, before you spend a single skip-trace credit or phone call?
What the Offr Score outputs, field by field
Every lead in a search result carries:
- Offr Score — a single ranking number attached to the property, letting you sort a list from most to least promising at a glance.
- Contributing ARV — the ARV estimate used in the calculation, so you can see the value assumption behind the score.
- Contributing rehab range — the low/high rehab estimate factored in.
- Contributing MAO — the Maximum Allowable Offer derived from ARV and rehab, which reflects how much margin the deal appears to have.
- Motivation signal weighting — an indicator of how many and which seller intelligence tags applied to the property, and how they factored into the score.
- Sort/filter position — where the lead lands relative to the rest of the batch, so you can work top-down.
Inputs required
Lead scoring runs automatically once a buy box search produces results — there's no separate setup. The quality of the score depends on the same inputs that feed ARV, rehab, and motivation signals: a property address for comp and county lookups, and available photos for the rehab estimate. If photos are missing, the rehab component of the score is less precise, which in turn makes the score itself a rougher estimate for that specific lead.
How the scoring logic works
- A buy box search returns a batch of off-market properties.
- Each property receives an ARV from nearby sold comps and a rehab range from available photos.
- MAO is calculated from ARV and rehab using the standard wholesaling formula (a target percentage of ARV, minus rehab cost).
- Detected motivation signals — pre-foreclosure, vacancy, probate, tax delinquency, absentee ownership, code violation, FSBO, stale MLS — are layered in as a weighting factor.
- These factors combine into the Offr Score, a single comparable number attached to every lead in the batch.
- You sort or filter the batch by score to decide your calling order for the day.
Worked example
A search returns 25 properties. Three examples from that batch:
- Lead A: ARV $210,000, rehab $18,000–$24,000 (thin, mostly cosmetic), MAO around $123,000, tagged pre-foreclosure + absentee-owner (two signals). Strong ARV-to-rehab ratio plus two motivation signals — lands near the top of the Offr Score ranking.
- Lead B: ARV $195,000, rehab $55,000–$68,000 (major systems work), MAO around $70,000, no motivation signals detected. Thin margin relative to rehab risk and no motivation tag — mid-to-low in the ranking despite a solid ARV.
- Lead C: ARV $145,000, rehab $12,000–$16,000, MAO around $86,000, tagged vacant + tax-delinquent + stale-MLS (three signals). Smaller deal size but very healthy margin and strong motivation signals — also ranks near the top, alongside Lead A.
Working down from the top of this sorted list means you call A and C first, and treat B as a lower priority unless your buy box specifically favors larger deals over motivation strength.
Where it's uncertain, and how to verify by hand
- The score inherits every limitation of its inputs: an off ARV (thin comps, unique property features) or an incomplete rehab estimate (missing photos, hidden damage) will shift the score without you necessarily knowing why. Spot-check the underlying ARV and rehab numbers on any lead before treating a high score as a green light.
- Motivation signal weighting reflects public record data that can lag real-world status by weeks, so a high score driven mainly by motivation tags should still be confirmed with an actual conversation with the owner.
- A high score is a statement about apparent numbers, not about seller willingness to sell at a workable price — some top-scored leads simply won't want to sell, and some low-scored ones will surprise you.
- If you consistently disagree with how the score ranks two similar leads, check whether your buy box's price range or motivation filters are pulling in properties outside your normal target profile, which can skew what "high" looks like for that batch.
How it fits the rest of the workflow
Lead scoring is the synthesis step: it pulls together ARV, the rehab cost estimator, and seller intelligence into one sortable number so you don't have to mentally juggle three separate data points per lead. Once you've picked your top-ranked leads, skip tracing gets you a number to call, and the CRM tracks the outcome of that outreach. See pricing for plan details.