Acquisitions Intelligence

How it works

From raw sources to a scored map — how properties and markets are scored.

Data flow
From raw sources to a scored map
Every property flows from raw sources through the unified view into signals and a 0–100 acquisition score. Hover any step to learn how it works; click a source or signal to highlight what it feeds.

Full source catalog and lineage.

Each property starts from a base score; every distress or context signal it triggers adds its weight, and the total is capped at 0–100. The map drawer's "Why this score" shows the per-property breakdown.

Signal Weight Source What it means
Foreclosure+40propwireActive foreclosure or preforeclosure filing — the strongest forced-sale signal.
Auction set+30propwireA foreclosure/trustee auction date is on the calendar — a hard deadline to transact.
Retail closure+25retailAn anchor retailer at this site has announced it's closing — imminent vacancy.
WARN layoff+25ca_eddA WARN layoff/closure was filed at this building's address (CA EDD) — impending vacancy at the site.
Disposition mode+25costarOwner sold another building in the last 24 months — actively offloading; this asset is likely next. Seller-intent (combined seller-intent capped at +40).
Loan maturing+22propwireA loan matures within 18 months — refinance pressure in a high-rate market.
Fund wind-down+22costarInstitutional owner that bought at the 2020-2022 peak and now carries vacancy — a maturing fund returning capital to investors is a forced seller (Jeff's 2021-fund thesis).
Wind-down (20yr+)+20costarOwner has held 20+ years — owner-user with a low basis who can sell well below market and still clear a fortune. Aging principals = wind-down risk.
Debt aging+15propwireDebt recorded 5+ years ago — approaching typical refi/sale horizon.
Bought at peak+15costarAcquired in 2021-22 at peak pricing / cheap debt — now facing a refinance gap in a high-rate market.
Owner-occupier+14costarOwned by an operating company, individual, or single-asset LLC — a private, motivated seller.
Absentee owner+12costarOwner's mailing address is out of state — less attached, historically quicker to transact (28% of our market).
Obsolete office/flex+12costarSingle-story office/flex built before 1990 — functionally obsolete post-2020; owner motivated to exit.
Long-held+12costarHeld 10+ years — aging ownership that's statistically more likely to transact.
Conversion (single-story)+12costarSingle-story, large-floorplate building with office-style buildout (showroom / R&D / telecom-data) carrying a bulk vacant block — the call-center/back-office archetype. Single-story = ideal for storage/industrial conversion (no vertical transport). NOTE: true office stock needs an Office-type CoStar pull; this fires on flex proxies today.
For sale+12costarListed for sale — the owner is already a willing seller.
Low occupancy+10costar60% leased or less — a building bleeding tenancy that an owner may cut loose.
Live vacancy+10crexiSpace actively listed as available right now.
Portfolio owner+8costarA private owner (operating co / individual / single-asset LLC) that holds 3+ buildings — portfolio-level sell motivation.
Balloon window (5-10yr)+8costarHeld 5-10 years — the balloon/refi pressure window. Most owners sell rather than refinance at today's rates.
Under-leased+8costarPartially leased (~60–92%) — WareSpace's value-add sweet spot.
Prior broker+5costarThe brokerage/agent who repped the last sale is on record — a warm relationship path to the current owner. Far easier to drum up a deal through the prior broker than cold to the owner.
Stale vacancy+5costarCoStar's last-known occupancy shows vacant space (~1 yr old).

The market score is a national percentile-rank model, weighted to look like the ZIPs where WareSpace actually operates — calibrated to our own buildings and tilted toward the newer 013+ footprint.

What the score weights

DriverWeightDirection
Jobs / 1k residents28higher is better
Establishments / 1k20higher
Renter share15higher
5-yr population growth12higher
Housing vacancy10lower is better
Median household income6higher
Population (density)5higher
Bachelor's degree+2higher
Median age2lower

013+ vs 001–012

Metric 001–012 avg 013+ avg Δ (013+ minus 001–012) National median
Market score78.679.6+1.048.9
Jobs / 1k1,357.71,385.2+27.5176.5
Establishments / 1k56.056.7+0.79519.2
Renter share49.7%50.2%+0.00521.9%
5-yr pop growth5.0%4.4%-0.0061.0%
Housing vacancy8.2%5.1%-0.03012.2%
Median HH income$82,230$78,864-3,366$66,993
Bachelor's+51.1%34.9%-0.16222.0%
Median age35.535.2-0.37941.0
Population28,68330,420+1,7372,794

Our buildings average 79.2 (013+ 79.7) vs a national median of 48.9 — top-decile markets.

Every building's market

Rows highlighted in green = 013+ buildings (newer footprint).

Code Location ZIP Score Jobs/1k Estab/1k Renter% Growth% Vacancy% Income($) Bach% Age
001DOWChicago, IL (Downers Grove)6051581.61,751.462.222.8%2.8%4.6%$116,60161.1%43.0
002MAR1 + 003MAR2Atlanta, GA (Upper West Side)3031881.6572.631.461.7%19.6%12.8%$69,64052.8%30.0
004FWSFort Worth, TX (University South)7611061.9231.518.137.9%8.1%11.4%$59,93328.4%32.0
005MANPhiladelphia, PA (Manayunk)1912968.5334.418.150.1%2.8%7.3%$79,59162.5%34.0
006MTLMt. Laurel, NJ (Cherry Hill)0805480.6924.332.323.6%7.5%3.5%$111,27255.1%43.0
007WHEChicago, IL (Wheeling)6009078.6547.232.537.5%1.2%4.8%$80,06040.4%39.0
008HNWHouston, TX (Northwest)7704380.0746.939.544.4%0.2%7.6%$74,32042.4%35.0
009NRHFort Worth, TX (North Richland Hills)7618076.6442.925.949.9%2.4%5.0%$76,41632.4%37.0
010MEPMinneapolis, MN (Eden Prairie)5534483.13,470.799.960.2%-11.9%6.2%$90,86156.6%35.0
011MSPMinneapolis, MN (St. Paul)5511483.93,527.6155.873.8%8.8%16.9%$68,24272.5%30.0
012ADDDallas, TX (Addison)7500188.52,384.999.784.5%13.8%9.8%$77,59857.7%33.0
013STPPhoenix, AZ (South Tempe)8504472.9498.424.736.4%-3.4%6.7%$92,04150.7%41.0
014CEDDenver, CO (Centennial)8011290.82,499.293.946.0%8.7%3.7%$104,44260.9%35.0
015BDCWashington, D.C. (Bladensburg)2072264.6237.719.631.8%4.7%3.5%$82,24124.9%37.0
016SLCSalt Lake City, UT (Downtown)8410479.61,778.357.544.3%-6.2%5.4%$59,13621.4%32.0
017CNDCharlotte, NC (NoDa)2820684.61,089.350.464.0%15.1%5.2%$45,55526.8%33.0
018ADCWashington, D.C. (Alexandria)2230472.4390.917.660.1%3.1%6.5%$98,23857.8%37.0
019PHDDenver, CO (Park Hill)8021690.02,137.992.069.9%32.9%7.0%$71,58636.4%29.0
020FLMMiami, FL (Ft. Lauderdale)3330979.81,541.062.443.2%-5.9%7.2%$68,27425.2%38.0
021PLDDallas, TX (Plano)7507484.0606.737.947.0%5.0%3.7%$78,44141.8%34.0
022SLALos Angeles, CA (Santa Ana)9270767.5333.316.749.8%-4.3%3.4%$94,86216.6%32.0
024RSESeattle, WA (Renton)9805783.52,556.582.374.0%-2.4%5.9%$68,29334.0%36.0
025LLALos Angeles, CA (La Mirada)9067086.12,953.0125.835.7%5.5%3.4%$83,25921.8%38.0