Property Sales AI pulls recently sold real estate transaction data from multiple sources (county records, IDX feed, MLS, etc.), refreshing each record over time as new information becomes available. Check out our User Guide to Property Sales AI Data for key tips and highlights.
What is the Property Sales Object?
The Property Sales object is the hub for all sold real estate transaction data. What users should know:
Once subscribed, Property Sales AI initially imports the last 30 days of real estate transaction data within a customer’s preferred counties.
Property Sales AI automatically refreshes this data every 7 days going forward.
Primary Fields Included in Property Sales Data
Field Name | Immediately Available | Details |
---|---|---|
Property Address | ✔️ | |
County | ✔️ | |
Recording Date | ✔️ | The property’s recording date is the most critical data point, as it indicates if a Lead or Opportunity is lost. |
Sales Price | ✔️ | |
Estimated Value | Typically | |
Taxed Assessed Value | Typically | |
Seller First Name | Unlikely | |
Seller Last Name | Unlikely | |
Buyer First Name | Unlikely | Buyer details are usually unavailable at closing but update within the first 1–2 weekly data refreshes. |
Buyer Last Name | Unlikely | |
Buyer Mailing Address | Unlikely |
Property Data Refresh Highlights
Dynamic Records. Property records are not static; they update as new data becomes available.
Data Refresh Timing. Buyer/seller names and some financial details may be missing at first but populate over time.
Data Sources. County records, MLS, IDX feeds, and other sources help deliver updates as quickly as possible. If a property sells off-market, the data may not be available until it’s recorded at the county level. MLS transactions may be captured earlier, but the complete dataset may not populate until it’s recorded by the county.
Why Recording Date Matters
Determines Transaction Finality. Helps mark leads and opportunities as unqualified or closed-lost.
Prevents Resource Waste. Ensures users stop working on leads that have already sold.
Fastest Available Data. Property Sales AI prioritizes getting recording dates into your system as soon as possible.
Fuzzy Address Matching Considerations
Our fuzzy address matching partner maintains a close pulse on post office data and postal authorities, and USPS reports addresses with the following characteristics are generally uncommon and to be actively avoided because of the confusion it causes in postal-delivery and other scenarios.
The street name is the same
The zip code is the name
The street number range is the same (100-999, 2000-2999...)
The street type designator is different (Ave, Court, Lane, Blvd...)
Address matching is 99% accurate, with only this specific scenario requiring closer monitoring or manual intervention. Any potential technical solutions would likely introduce other challenges, so we don’t plan enhancements in this area. For customers operating in regions where these addresses are common, we officially recommend the following options:
Set the Automatically update leads and opps status when a match is found? question in the Property Sales AI Administration Panel (screenshot below) to No to review and confirm or reject matches on a weekly basis.
ORSet the Automatically update leads and opps status when a match is found? question to Yes and task one team member with briefly reviewing matched records on a weekly or monthly basis to catch any edge cases.
Upcoming Enhancement(s)
Field Highlighting. Changes to key fields based on the weekly data refresh will be visually indicated.