The Scenario
The catalog drops in six weeks. You are the direct mail coordinator and the printer needs a verified address file before they will accept the job. You have a Google Sheet with 1,800 mailing addresses that were collected from an old loyalty program database — some from 2021, some from 2022, some from earlier. Nobody has touched the format since the migration.
The printer's spec is clear: USPS-standard addresses, ZIP+4 format, no typos, no missing components. Your list has all three problems in varying proportions.
The bad version:
- Export the address column, upload it to an address verification service, wait for the batch, download the corrected file, try to map the corrected address and ZIP+4 back to the original rows.
- Realize that the service returns a separate file for invalid addresses, which are now missing from the main results file, so you have to reconcile two files against the original sheet.
- Spend an hour on the reconciliation and end up with a sheet where 120 rows are still flagged as uncertain.
The printer's cutoff is Friday.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads the address column, runs Data247 address verification on every row, and writes the USPS-corrected address, the valid/invalid flag, and the ZIP+4 code back into the columns you specify — the full 1,800-row sheet in one pass, no file reconciliation.
Verify each address in column A of my sheet using Data247 and write the USPS-corrected address in column B, the valid/invalid status in column C, and the ZIP+4 code in column D
What You Get
- Column B: USPS-standardized address string for each row
- Column C: Valid or Invalid flag for each address
- Column D: ZIP+4 code returned by the USPS validation
- Invalid rows get a clear flag in column C so you can filter and address them before the printer deadline — no hunting through two separate result files
What If the Data Is Not Quite Ready
The address is split across multiple columns
My sheet has street in column A, city in column B, state in column C, and zip in column D. Verify the full address using Data247 for each row and write the USPS-corrected full address in column E, valid/invalid in column F, and ZIP+4 in column G.
You want to overwrite the original address rather than write to a new column
Run Data247 address verification on all 1,800 addresses in column A. Overwrite column A with the USPS-corrected address and write the valid/invalid flag into column B and the ZIP+4 into column C.
You want to separate valid and invalid addresses into different sheets
Verify all 1,800 addresses in column A using Data247. Write the corrected address in column B, the status in column C, and ZIP+4 in column D. Then move all Invalid rows to a new sheet called "Bad Addresses" and leave only Valid rows in the main sheet.
Verify, split, and prepare the printer file in one shot
Run Data247 address verification on all 1,800 addresses in column A. Write the USPS-corrected address in column B, valid/invalid in column C, and ZIP+4 in column D. Copy only the Valid rows to a new sheet called "Printer Ready" and sort that sheet alphabetically by column B.
You go from an unverified legacy list to a clean, printer-ready sheet in one prompt.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet with a mailing address list that needs USPS verification, then ask it to run Data247 address verification across every row and write back the corrected address and ZIP+4. See also the email append spoke to recover digital contact info for the records that have only a postal address.