The Scenario
The development director at a nonprofit is three days out from a year-end appeal mailing to 800 donors. She got a note this morning from the data team: the 'Year-End Appeal' contact list in Postalytics might have duplicate entries and some zip codes from an old import are probably wrong. She needs every contact in that list pulled into a Google Sheet so she can review them before the campaign sends.
The bad version:
- Log in to Postalytics, navigate to the contact list, and look for an export button — which turns out to download a CSV with column headers that don't match what your sheet is set up to receive.
- Open the CSV, reformat the headers to match your audit template, paste the data into the sheet, and discover the address field merged street address and suite number into one column.
- Split the combined field manually across 800 rows, flag the rows with blank zip codes, and send the file to the development director — only to realize you exported the wrong list ID.
The development director needed this two hours ago. She's presenting the mailing plan in the afternoon.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads your Postalytics contact lists directly and writes the results into your sheet in the structure you specify — no CSV download, no header cleanup, no reformatting.
Fetch all contacts from my Postalytics contact list ID 12345 and import them into a new sheet called 'Contact Audit' with columns for full name, address, city, state, and zip.
What You Get
After running that prompt:
- A new sheet called 'Contact Audit' is created in your workbook.
- All 800 contacts land in rows with full name, address, city, state, and zip in separate columns.
- The data is ready for review — no further reformatting needed before the development director looks at it.
- Any contacts that returned partial data from the API show up with the available fields and blanks where data is missing, so gaps are visible at a glance.
What If the Data Is Not Quite Ready
The list ID changes each audit cycle
You don't want to hardcode the list ID in your prompt every time. It lives in cell A1 of the 'Audit Setup' sheet.
Read the Postalytics contact list ID from cell A1 of my 'Audit Setup' sheet, fetch all contacts from that list, and import them into a new sheet called 'Contact Audit' with columns for full name, address, city, state, and zip.
Blank zip codes need to be flagged immediately
The development director specifically needs to see which rows are missing zip codes before she hands the list to the mail house.
Fetch all contacts from Postalytics contact list ID 12345, import them into a new sheet called 'Contact Audit' with columns for full name, address, city, state, and zip, then highlight in yellow every row where the zip code column is blank.
You suspect there are duplicate addresses
Two imports from different campaigns may have created duplicate entries in the list.
Fetch all contacts from Postalytics contact list ID 12345, import them into a new 'Contact Audit' sheet with full name, address, city, state, and zip, then identify any rows with a duplicate address and mark them 'Duplicate' in a new column G.
Full audit in one shot
Import, flag blank zips, mark duplicates, and summarize the results.
Fetch all contacts from Postalytics contact list ID 12345 and import them into a new 'Contact Audit' sheet with full name, address, city, state, and zip. Flag rows with blank zip codes in yellow. Mark duplicate addresses as 'Duplicate' in column G. Add a summary row at the top showing total contacts, blank zip count, and duplicate count.
The whole audit in one ask. No intermediate steps, no manual formatting.
Try It
Get the 7-day free trial of SheetXAI and open any Google Sheet, then ask it to pull your Postalytics contact list in for review before your next mailing. For related work, see the article on bulk-importing contacts into Postalytics, or the hub overview for all four connection methods.