Motivated Seller Index: How to Read Seller Urgency by Metro

The Motivated Seller Index scores seller urgency 0 to 10 by metro. What it measures, what a fire-sale label actually predicts, and how to screen markets.

Re:InvestorHub Team · · Market Insights

The Motivated Seller Index (MSI) is a 0 to 10 score measuring how aggressively home sellers in a market are cutting their asking prices. Parcl Labs publishes it daily for more than 50,000 US markets, from ZIP code up to national. Below 2.5 is neutral, meaning sellers are holding firm. Between 5.0 and 7.5 is motivated. Above 7.5 is a fire sale. As of August 25, 2026, Austin scores 7.30 and Rochester, New York scores 2.42. That gap is the whole argument for why market selection comes before deal selection.

What Does the Motivated Seller Index Actually Measure?

It measures seller urgency in two stages. Every active listing gets its own 0 to 10 score, then those roll up into a market score. The market number is not a simple average, because averaging lets either a few deep discounters or a flood of new listings distort the read.

A listing that is not cutting scores 0, whether it is brand new or a long-sitting holdout, because neither is urgent. A listing that has cut at least once and now sits below its original ask is scored on three behaviors:

Depth dominates. A seller who cut once by 15 percent reads as more urgent than one who cut three times by 2 percent each, which matches how the two behave at the negotiating table.

Note what is missing. Days on market (DOM) enters only as the denominator of the velocity term, never as a level of its own, so a listing is never scored as more motivated just for sitting longer. That corrects the metric most investors reach for first, since raw days on market cannot separate a stale overpriced listing from a seller who will actually negotiate.

Why Does the Seasoning Rule Matter More Than the Headline Cut Rate?

The second half of the score is prevalence: the share of seasoned listings, meaning those active at least 30 days, that are cutting. That rule matters more than it looks, because the odds a listing has cut climb steeply with time on market:

A fresh listing has not had time to cut, so a raw "percent of listings with a price reduction" figure moves with the age mix of inventory even when no seller has changed behavior. A spring wave of new listings drags the blended rate down and makes a market look more confident than it is. The index standardizes cut rates to a fixed reference age mix first.

This is why you cannot rebuild the number by filtering a portal for price reductions: that returns the blended rate, which moves with listing volume as much as with seller psychology.

Does the Label Actually Predict a Discount?

It does, and the labels were validated against outcomes rather than asserted. Parcl Labs matched roughly 3.1 million closed sales to the label each listing carried last before it sold. Against the original asking price, the median sale closed at:

A second signal sits underneath. Any cutting label closes below its last asking price about 62 percent of the time, against 43.8 percent for a neutral listing, roughly double the odds. Those odds are nearly identical across all three cutting labels. What escalates is how deep the discount runs off the original price, so the label tells you how much room is in the deal, not whether there is any.

Where Are Sellers Cutting Right Now?

As of August 25, 2026, among metros with at least 1,000 active listings, the most motivated markets are Kingsport, Tennessee at 7.43, Sherman, Texas at 7.40, Austin, Texas at 7.30, Colorado Springs, Colorado at 7.25, and San Antonio, Texas at 7.23. All five sit in the motivated band and none has crossed into fire-sale territory. The other end of the table is a different country: Lafayette, Louisiana at 2.41, Rochester, New York at 2.42, Atlantic City, New Jersey at 2.48, Lincoln, Nebraska at 2.53, and Hartford, Connecticut at 3.03. The first three are neutral, meaning sellers there are broadly not cutting at all.

The underlying listing behavior shows the same split. In an August 19 read of the data, 54.4 percent of Austin sellers had cut across 18,217 listings, at a median cut of 5.4 percent. Dallas showed 53 percent cutting across 45,583 listings and Sherman ran above 55 percent. Rochester had 16 percent cutting across 3,419 listings.

The Texas concentration traces back to the 2021 through 2023 construction blitz and the oversupply behind it. One coverage detail matters: the index scores every active listing, builder inventory included, by design. Builder pricing behavior is seller urgency, so in a metro that built heavily into a slowdown those incentives are part of the score rather than a distortion of it. The same pattern drives the six-year high in foreclosure filings.

Why Do These Numbers Change Every Time You Look?

Because the index recalculates daily. The figures above are an August 25 snapshot and nothing more. On August 19, Sherman was reported at 7.47 as the most motivated metro in the country. Six days later it reads 7.40, second behind a Kingsport that did not top the earlier list at all. Austin held third while the metros around it reshuffled.

That churn is a property of the tool, not a flaw, and it is the sharpest difference between this index and the survey readings investors are used to. A quarterly instrument like the investor sentiment index is a photograph taken months before you see it. A daily index is a live gauge.

Two rules follow from that:

  1. Date-stamp every figure you cite, in an offer memo, a partner update, or your own notes. An MSI number with no date is unusable inside of a week.
  2. Track the trend in the markets you actually buy in, not the national leaderboard. Rank churn inside the top five is noise. One metro climbing from 5.2 to 6.8 over eight weeks is signal.

How Should You Use It to Pick a Market?

The index tells you where sellers will negotiate. It does not tell you where a deal pencils, and treating the first answer as the second is the fastest way to buy a cheap entry into a market that still does not work.

Austin is the clearest illustration: seller urgency near the top of the country, and rents that still do not cover the payment at current prices. A high score there buys you a better basis on a property whose numbers still do not work.

Run it as a three-step funnel:

  1. Narrow the geography with the index. A high score tells you where an offer below ask gets engaged with instead of ignored, worth knowing before you build comps where nobody is cutting.
  2. Run the revenue test on the shortlist. Seller urgency is an entry-price signal and says nothing about rent, taxes, or insurance. The underwriting variables that replaced the 1 percent rule belong here.
  3. Underwrite the property. Market-level urgency never survives contact with a specific address, and the deal analysis framework is where the decision gets made.

The reverse case matters too, because the index is market-level. Rochester scores 2.42, yet 16 percent of its 3,419 listings have still cut, roughly 550 sellers already off their original number. A neutral market is not an empty one, it just means you are hunting listings rather than a market.

Once you have the market and the listing, writing the offer is a separate skill. How to structure the offer when sellers are cutting covers price reduction versus seller-paid buydown, and what belongs in the contract.

Two limits are worth carrying. The index cannot tell you why sellers are cutting, since oversupply, job losses, seasonal slowdown, and builder incentives all produce the same score with very different forward outlooks. And it is not a forecast: a rising index leads softer price growth by roughly seven to eight weeks at a peak correlation near negative 0.45, a real directional lead and nowhere close to deterministic.

The Takeaway

The Motivated Seller Index answers one question well: where sellers are already capitulating on price. That is a market-selection input and belongs at the top of your funnel, not at the point of offer. Pull the read for the two or three metros you operate in, note the date beside each number, and watch direction over months instead of the daily rank. Then run the shortlist through a revenue screen and underwrite the property, because a motivated seller and a working deal are different things and only one is on this index.

The full methodology is published in the Parcl Labs Motivated Seller Index white paper, and the current read for any market is free to check on the Motivated Seller Index map.