# How WhoseTitle Scores a Homeowner's Likelihood to Sell

> The exact signals behind WhoseTitle's seller likelihood score: ownership tenure windows, mortgage maturity, equity, distress records, and predictive data.

By [Adam Kalimi](https://whosetitle.com/author/adam-kalimi) · Published 2026-07-07 · Updated 2026-07-16

Canonical: https://whosetitle.com/blog/how-whosetitle-scores-seller-likelihood

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When you circle a neighborhood in WhoseTitle, every homeowner comes back with a **likelihood-to-sell indicator** — High, Medium, or Low — plus the individual signals that produced it. Nothing about that rating is a black box. This is exactly how it works, and why each signal earns its place.

## The core idea: owners sell on schedules, not on whims

Top-producing agents don't cold call random addresses. They use public property records to find owners whose situation statistically precedes a sale — and the data for that is surprisingly knowable. Every signal below comes from county deed records, assessor rolls, and licensed property-data aggregators, the same sources behind [skip tracing](/blog/skip-tracing-real-estate) and [circle prospecting](/blog/circle-prospecting-guide).

## Ownership tenure: the selling windows

How long someone has owned their home is the single most predictive public fact, but it isn't linear — it comes in windows:

- **5–7 years — the move-up window.** This is when households historically outgrow a starter home and have accumulated enough equity to trade up. WhoseTitle tags these owners "Move-up window" and weights them as heavily as any long-tenure owner.
- **10–14 years — past the median.** The national median length of homeownership hovers around 10–12 years. Owners past that mark are statistically overdue to list.
- **15+ years — downsizing territory.** Long-tenure owners are often empty nesters sitting on decades of appreciation. When the data also flags a senior owner, WhoseTitle adds a downsizing bonus.

An owner three years into a mortgage scores nothing here — they almost never move.

```viz-bars
{
  "title": "How tenure windows weigh in the score",
  "items": [
    { "label": "0–4 years (just bought)", "value": 0, "display": "None" },
    { "label": "5–7 years (move-up window)", "value": 3, "display": "High" },
    { "label": "10–14 years (past the median)", "value": 2, "display": "Elevated" },
    { "label": "15+ years (downsizing)", "value": 3, "display": "High" }
  ],
  "note": "Relative weights as described above — the 5–7 year move-up window counts as heavily as long tenure, and 15+ years earns a further bonus when the data also flags a senior owner."
}
```

## Mortgage maturity and equity

An aging loan changes the math of selling. WhoseTitle reads two things from open-lien records:

- **Mortgage maturing.** When the primary mortgage is within about five years of payoff, owners frequently sell to cash out, downsize, or buy their next home outright.
- **Equity position.** High equity (we use 50%+ of estimated value, or the aggregator's own high-equity flag) means the owner can comfortably fund a move; **free-and-clear** homes score even higher. The reverse also matters: **low-equity owners are penalized** in the score, because they often can't afford to sell even if they want to.

## Distress signals: urgency, not just probability

Two public-record events signal an owner who may *need* to sell rather than merely being likely to: **pre-foreclosure** (a recorded notice of default or lis pendens) and **delinquent property taxes**. These carry the heaviest individual weights in the score, and pre-foreclosure alone forces the likelihood indicator to High — an agent should see that owner at the top of the list no matter what else is true.

## Predictive propensity and life events

WhoseTitle also ingests the data provider's own machine-scored **sale propensity** — a prediction trained on far more transactions than any single agent sees — and a set of life-event proxies: vacant properties, inherited homes, absentee owners, and tired landlords. The proxies are deliberately capped in the score so a stack of soft signals never outranks hard evidence. And one signal works in reverse: an owner who **recently sold or bought** is effectively removed from contention.

## How the score becomes High, Medium, or Low

Every signal, its public-record source, and its role in one view:

| Signal | Where it comes from | Role in the score |
| --- | --- | --- |
| Ownership tenure windows | County last-sale date | Core weight; 5–7 and 15+ year windows score highest |
| Mortgage maturity | Open-lien records | Boost when the loan is within ~5 years of payoff |
| Equity position | Estimated value vs. liens | 50%+ boosts; free-and-clear boosts more; low equity penalizes |
| Pre-foreclosure | Recorded default notice / lis pendens | Heaviest weight — forces the indicator to High |
| Tax delinquency | County tax collector records | Heavy weight; urgency signal |
| Sale propensity | Provider's machine-learned score | Independent prediction, blended in |
| Life-event proxies | Vacancy, inheritance, absentee, tired-landlord flags | Deliberately capped — soft signals can't outrank hard evidence |
| Recent sale or purchase | County deed records | Works in reverse — removes the owner from contention |

Each signal contributes points; the total maps to the indicator you see next to every lead. The individual tags — "Tax delinquent," "Owned 16 yrs," "Mortgage maturing" — always stay visible alongside it, because the rating tells you *who to call first* while the tags tell you *what to say when they answer*. A pre-foreclosure owner gets a very different conversation than a 20-year empty nester with a paid-off house.

That pairing — triage plus evidence — is the whole point. If you're building a [geographic farm](/blog/real-estate-farming-guide), the likelihood indicator turns a list of fifty owners into an ordered call sheet, and the tags script the first thirty seconds of every call.