Question 1

How can predictive "likely to sell" scores be used without treating them as proof an owner will sell?

Accepted Answer

A likely to sell score reports a rank position inside a population, not a probability that an owner will list.[3] An owner carrying a 92 sits near the top of a modeled ordering, and nothing in the number says 92% of such owners will sell. PropertyRadar's Likely Transactions attaches four scores to every property, covering sale, purchase, refinance and HELOC activity, each running 0 to 100 with bands from Very Low to Very High over the next six months, and every property is rescored monthly.[2] The company's feature page calls likely scores directional, model-based estimates for marketing use only, and chief executive Mark Hockridge is quoted in the product announcement saying it "is not a crystal ball."[3][2] Use the score to set the order inside a segment that dated public records already defined, cut the top band to the contacts the month's plan includes, and hold back a matched slice so recorded transfers at month six can be compared against untouched records.[1]

Question 2

How can monitored property lists automatically surface new matches and owner-status changes?

Accepted Answer

A monitored property list stores your saved search criteria and re-runs them against the underlying records [2]. A parcel joins the list when it starts matching, and PropertyRadar documents two triggers on top of that, new matches when a property is added to the list and status changes covering new transfers, new loans, new listings, and foreclosures [1]. Either trigger can send a mobile notification, a daily digest or an immediate email, a Zapier action, a webhook, or a change to the saved property data [1][6]. One list is limited to 10,000 properties, and the account allowance runs 10,000 on Solo at $119 a month, 25,000 on Team at $249, and 50,000 on Business at $599 [2][3]. Delivery of a triggered automation can take up to 30 minutes, and no interval for re-evaluating the records behind a list is published [4][2].

Question 3

How should I prioritize an off-market property list before calling or mailing every owner?

Accepted Answer

Prioritize an off-market list by scoring every record on four separate 0 to 3 scales, then work the resulting tiers in order. Property fit decides whether the parcel belongs in the campaign at all, contactability decides whether a call or a letter can reach the person named on the deed, timing evidence weighs dated filings against modeled scores, and evidence quality grades where the signal came from.[2] Keeping those four numbers separate matters because a blended motivation figure hides which input moved, and PropertyRadar's own announcement of its Likely Transactions scores quotes the company's CEO calling the product something that is not a crystal ball.[2] Order also has a price, since contact data is metered: PropertyRadar includes 250 phone and email contacts a month on its $119 Solo plan and bills 8 cents per contact past that ceiling, which puts a 4,000-record list appended in export order at $300 in overage.[1]

Question 4

How should I combine absentee ownership, equity, vacancy, and tax delinquency without creating an overly broad list?

Accepted Answer

Combine the two common criteria with AND and run the two rare ones as separate segments on top of that base. Absentee ownership is a mailing-address comparison and estimated equity is a ratio between two modeled numbers, so both are ordinary attributes across a residential county [1][3]. USPS vacancy needs 90 days or more of uncollected mail before an address is counted [4], and tax delinquency carries a county collector's date [7], which is why a four-way AND across a mid-size county can collapse to a few dozen records. Cut exclusions for listed, recently sold, entity-owned, and unreachable records before anything mails, since sellers using the National Do Not Call Registry have to synchronize their calling lists at least every 31 days [10]. Give each segment its own mail code, because two response rates read against each other say which criterion earned its place.

Question 5

Which property and owner signals are most useful for identifying potentially motivated sellers?

Accepted Answer

The property and owner signals that identify potentially motivated sellers most reliably are the ones carrying a date and a filing office. A notice of default, a scheduled trustee sale, a tax delinquency printed as of a stated date, a probate case and an expired listing each name an event that already happened to a specific person.[3][4][6][8] Ownership facts sit underneath those and supply context, including length of title, a mailing address that differs from the property, and how much equity the recorded loans leave.[5] Modeled signals rank below both, since a vacancy flag reports 90 days of uncollected mail rather than an empty house[10] and a 0 to 100 propensity score ranks a property against other properties without describing one owner's plans.[12] Stated intent is the only tier that comes from the owner, and a request not to be called again creates a duty to stop calling within 10 business days.[15]

Question 6

What is the difference between a dynamic property list and a static property list?

Accepted Answer

A dynamic property list stores saved search criteria that re-run against the underlying records, so parcels join it and drop off it as county data changes.[1] A static list is a fixed set added by hand or loaded from a file, with no search criteria attached and no way to re-derive it inside the platform.[1] A monitored dynamic list adds and removes properties on its own and keeps a New Since count, and it caps at 10,000 properties, a limit the documentation says add-ons cannot expand.[2] The static version is the only one you can reproduce later, which matters because the Telemarketing Sales Rule requires most sellers to keep records tied to their telemarketing activities for two years from the date each record is produced.[8] Running both is the common pattern, because re-downloading an export you already purchased costs nothing while re-running the same export counts against the monthly quota a second time.[3]

Property List Building & Monitoring