Property ownership and appraisal data for smarter prioritization.
Property ownership and appraisal data helps contractors, investors, and rehabbers reach the right property decision makers, improve address accuracy, reduce returned mail, and prioritize outreach by property context, public-record transition signals, and territory fit.
How this supports Market Review: ownership, appraisal, parcel, address, foreclosure, trustee-sale, tax-sale, lien, and other transition-related public records can be supporting inputs. BuildAdvocate uses them to check decision-maker quality, mailing accuracy, store routing, property fit, source timing, and exclusions before recommending a pilot export or monthly file.
Prioritize by fit
Appraised value, building age, property type, and neighborhood help teams avoid spending the same mail budget on every address.
Route by store
Distance, ZIP, city, county, and custom territory rules can keep multi-store campaigns from overlapping or missing good households.
Layer with public-record context
Ownership and appraisal data becomes more powerful when layered with HELOC activity, permit movement, foreclosure-related notices, liens, tax-sale records, or other public-record signals.
Typical property-data fields
| owner_name | property_address | mailing_address | county | year_built | appraised_value | land_value | improvement_value | distance_from_store |
|---|---|---|---|---|---|---|---|---|
| Sample Owner | 123 Example St, Austin, TX | 123 Example St, Austin, TX 78701 | Travis | 1998 | $625,000 | $275,000 | $350,000 | 18.4 |
Appraisal and ownership records are not identical everywhere. Some appraisal districts publish rich parcel and value data; others limit fields or update on a different schedule. We confirm what can be acquired before selling a regional subscription.
Property QA notes a buyer should see
Coverage: the review should state which appraisal district, parcel, GIS, ownership, recorder, court, tax, lien, foreclosure, or trustee-sale sources are available for the requested counties.
Routing logic: rows should be filtered by store distance, ZIP, county, category territory, owner mailing quality, source timing, duplicate records, and suppression inputs where provided.
Use limit: property data can support prioritization and campaign segmentation, but it does not prove homeowner intent, hardship, budget, seller interest, response likelihood, or permission to contact.
Showroom, specialty-trade, investor, and rehabber use case
Property ownership and appraisal context helps multi-location remodelers, showrooms, cabinet and countertop teams, pool builders, roofers, specialty trades, investors, and rehabbers avoid treating every address the same way. A stronger file can group homes by value band, property age, owner mailing match, distance from store or service area, ZIP, county, excluded territory, and public-record transition signals where available.
This is especially useful when a buyer has multiple stores, franchise territories, sales reps, acquisition criteria, or rehab constraints. The goal is clean prioritization and routing, not a claim that every address is ready to buy or sell.