Type “absentee owners with 50%+ equity in Austin, TX.” ZipAudience translates the request into property and owner filters, shows how it interpreted them, and returns the current match count before you order.
You typed
"high-equity absentee owners near Austin, TX who own single-family rentals"
AI interpretation
Illustrative matches
4,182
Reword to re-count, no charge
Illustrative example. Actual counts depend on the selected location and filters. Targets U.S. property and owner, homeowner, and business-owner audiences, not company, industry, or job-title fields.
The problem
Every lead platform hands you the same wall of dropdowns: equity sliders, owner-occupancy toggles, property-type checkboxes, radius pickers. You know who you want to reach, but you have to translate that into the tool’s vocabulary, guess which filters matter, and only find out the list is empty (or huge) after you’ve already committed.
The market gap
The market is full of useful property data behind complex interfaces. The hard part is expressing intent in the filter language a database expects. ZipAudience adds a translation layer that turns plain English into reviewable property and owner criteria, so you can correct the search before ordering records.
How we solve it
Describe the property-owner audience the way you would explain it to a colleague. The AI maps the request to available targeting filters and returns a transparent breakdown you can review before ordering.
One sentence, like “tired landlords in Phoenix with high equity,” instead of a dozen form fields.
Your words become structured filters: location, equity, owner type, property category, and more.
We show you how the AI read your request: location, filters, and the output package it chose.
Every result carries a confidence level and flags anything the underlying data can’t target.
See exactly how many records match before you commit a single dollar.
Count too big or too small? Reword the request and re-count. No menus, no re-learning.
The AI here is a translator, not a prediction engine. It maps your sentence onto available fields such as equity percent, absentee ownership, vacancy, and property category, then chooses a browse-only, email-contact, or full-contact output based on the outreach channel you describe. It returns its interpretation, criteria, confidence rating, and a note about anything it cannot target, so you can review the search before funding it.
How it works
Type the audience you want to reach in one plain-English sentence.
AI converts it into precise location, filter, and owner-type criteria.
See the interpretation, confidence, and exact match count, all for free.
Happy with it? Order the records. Not quite? Reword and re-count instantly.
Intent in, criteria out. The interface stops being a barrier.
A free current match count lets you review the audience before ordering records.
The AI picks the filters that actually narrow to your buyer.
Confidence and caveats keep you from over-trusting a fuzzy match.
It uses AI to translate a plain-English description of a property-owner audience into structured search criteria. In ZipAudience, you review the location, owner, property, and contact-package choices before seeing the current match count or ordering records.
U.S. property and owner audiences: real-estate investors and sellers (by location, equity, absentee/vacant/foreclosure status, property type) and homeowners as local consumers (by location plus owner demographics like income, age, and household). Just describe who you want.
Yes, when the business targets property owners or homeowners. Real estate investors, agents, roofers, landscapers, solar companies, and other local services can describe the property or owner signals that fit their market. It is not a broad B2B database for company, industry, or job-title searches.
No. The match count is free. You only pay when you order the actual records, so you can refine your request as many times as you like first.
Every search shows its interpretation: the location and filters it built, the output package it chose, and a confidence level. If something’s off, reword your request and re-run it.
A lead finder builds a new audience from search criteria. Lead scoring starts with leads you already have and ranks or qualifies them. ZipAudience uses the finder to create a property-owner audience, while engagement scoring belongs to the outreach workflow after records enter a campaign.
Say so. If you mention emailing, it selects a contact package with verified owner emails; if you mention calling, it selects full skip-trace with phones and emails. Unclear requests default to browse-only so you’re never overcharged.
Run your first AI lead search free and see the count before you spend a thing.
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