Address File Audit · One file, one invoice
Your mailing file,
audited like it matters.
When a board or an agency asks how good the list is, a feeling is not an answer. Upload the file you already mail to and get it back standardized, deduplicated, geocoded and income-enriched — plus a written report that answers for it: what's wrong, where it clusters, and what it costs you every year.
- ReportThe report is the product: standardization quality, ZIP completeness, duplicate clusters, county concentration, neighborhood income & vacancy profile, and a cost-of-bad-records model with stated assumptions. See a sample →
- PriceThe anchor: traditional list bureaus charge $75 per 1,000 records — $1,875 on a 25,000-row file — and hand back no analysis. This is $497 with the analysis.
- FitBuilt for donor files, member registries, government address lists, and ops teams who would rather upload a file than write an integration.
- LicenseOne rule from the USPS Addresses license, stated plainly: the addresses must already be yours. We audit lists you possess; we never source, append, or build lists.
- PrivacySigned, expiring download links. Your file is never used for anything else and is deleted after 30 days.
Under 10,000 rows and no report needed? List Clean is $19–$97. Mailing on a schedule? List Care re-runs this quarterly from $997/yr.
Step 1 · UploadCSV · ≤25,000 rows
Free diagnosis first — see exactly what's broken before you pay a cent.
Prefer email? Send the file to support@revaddress.com instead.
Step 2 · Your file's diagnosis
Run the audit — $497Secure checkout via Stripe. Cleaned file + Address Quality Report, usually within the hour.
Not running it today?
Take a free API key with you
If the file is not ready to audit, a free key lets you validate and geocode single addresses against the same Census-based engine — 1,000 requests a month, no credit card. It lands in your inbox, so this page is one search away when the list is final.
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Your free API key
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What the report answers
Four questions, answered with your data.
Want the decision logic before the sample? Read what an address file audit should find, including the denominators and assumptions behind each section.
How clean is the file?
Standardization match rate against the Census Bureau's national address inventory — exact, corrected, and the rows that could not be standardized at all.
Where does it cluster?
Duplicate clusters on the standardized form, plus county-level geographic concentration — with counties named, not just coded.
Who are you mailing?
Neighborhood income percentiles and bands, and vacancy exposure — the tract-level profile you'd otherwise buy as a separate data append.
What does it cost you?
An annual-waste model over your at-risk and duplicate rows, with every assumption stated — postage, materials, cadence — so you can re-run it with your numbers.