A lead scoring layer turned a 400 lead backlog into 11 funded deals and left 389 untouched

The misconception worth correcting is that a 2.75 percent conversion rate on raw leads means the platform is underperforming. At the lead category level, 11 funded deals from 60 qualified leads is an 18 percent conversion, which is a healthy marketplace number and suggests the scoring did not improve the platform so much as it revealed the platform that was already inside the data.

The delinquency signal doing the heaviest lifting tracks logically: a seller with a tax certificate outstanding is not just motivated, they are on a creditor's clock, and the timeline they state at submission is backed by an external forcing function rather than a preference. That combination collapses the negotiation window in a way that buyers will pay for because it also collapses their own diligence risk on seller commitment. The 40 percent premium on that tier is probably still underpriced if the contract rate is genuinely 4x, because the buyer's cost to work a lead to contract, counting labor, failed title pulls, and dead follow-up, is not trivial. The question I would want answered before holding the price there is whether the delinquency data is being refreshed continuously or pulled once at submission. A certificate that was active at intake can be redeemed between the score date and the buyer's first call, and if that happens inside the top tier with any frequency, the premium starts to look like it is selling a signal rather than a condition. If you are pulling public records once and scoring statically, adding a 14-day re-pull on any lead that has not moved to a contact confirmation would protect the tier's credibility with buyers over time. What is the current lag between a lead reaching the top tier and the first buyer contact attempt?

The delinquency signal doing four times the conversion work is consistent with what the underlying economics predict. A seller with a tax certificate and a stated timeline is not expressing preference, they are expressing pressure, and pressure is what actually moves a motivated-seller lead from pipeline to contract. The tiered pricing outcome follows directly from that: if the delinquency tier converts at 4x, pricing it at a 40 percent premium is conservative. The buyers absorbing that premium are likely still ahead on effective cost-per-deal.

The attrition problem you named is the real constraint here, and it compounds in a specific way. Public record delinquency data has a publication lag, often 30 to 90 days depending on jurisdiction, so by the time a tax certificate surfaces in a pull, several other platforms running the same query have already seen it. The score is accurate but the lead age is not what the timestamp suggests. What matters structurally is how close to real-time your record enrichment runs and whether you can move the contact attempt inside that lag window rather than after it.

One thing worth examining: the 340 leads outside the top two tiers. You described them as expensive to work at the same intensity, which is correct. The question is whether a lower-touch, longer-cycle nurture sequence turns any portion of that group into a future delinquency-flagged lead rather than a closed file. Some share of sellers who are not distressed today will be in 60 to 120 days, and a platform that holds those relationships has first-mover position when the signal changes.

The assumption doing the most work in the tiered pricing model is that buyer demand for the top tier stays inelastic as supply tightens. If every competing platform scores identically, the premium compresses.

What is your current enrichment frequency on leads after initial submission, and are you re-scoring on record changes or only at intake?