The Scenario
The person who maintained your AMCards contact list left the company four months ago. You inherited the account and you're now preparing for a spring re-engagement campaign — but before you send 600 physical cards, you need to know whether the contact list is clean. Specifically: how many contacts are missing an email address, which ones were added before you had a proper onboarding process, and whether there's any overlap with the dead records in your CRM.
The bad version:
- You navigate to the AMCards contacts section, find the export, and download a CSV — only to discover it exports fields in a fixed order that doesn't match your CRM schema.
- You open both files side by side, start a VLOOKUP in a third spreadsheet, and immediately hit a formatting problem: AMCards uses "first_name" and "last_name" as separate columns, but your CRM exported a single "Full Name" field.
- You spend 45 minutes building a concatenation formula, reformat the dates, and then realize the email column has 90 blank entries that you can't distinguish from intentionally-omitted records versus data entry gaps.
The campaign brief is due to the agency on Friday. Spending Wednesday afternoon on column normalization is not a recoverable use of time.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the sheet, connects to AMCards, and writes a clean contact export directly into your data — with any flagging logic you need baked in from the start.
Open the Sheet where you want the contact list to land and run:
Pull all my AMCards contacts into this sheet with columns for id, first_name, last_name, email, and created_at, then flag rows where email is blank
What You Get
- One row per AMCards contact, covering your full list
- Columns: ID, First Name, Last Name, Email, Created At
- A flag column marking every row where the email field is null or empty
- Created_at dates in ISO format, sortable without reformatting
- No duplicate header rows, no CSV encoding artifacts
What If the Data Is Not Quite Ready
You need to cross-reference against a CRM export on another tab
Your CRM export is on a tab called "CRM" with a "Email" column. You want each AMCards contact tagged with whether they exist in the CRM.
Pull all my AMCards contacts into Sheet1 columns A–E (id, first_name, last_name, email, created_at), then look up each email in column D against the Email column in the CRM tab and write "in CRM" or "not in CRM" in column F
Some contacts have a first name but no last name on file
Early contacts were entered with just a first name. Before the agency exports the mailing list, those need to be clearly marked.
Fetch all my AMCards contacts into columns A–E, then in column F add a flag that says "incomplete name" if last_name in column C is blank or empty
You want contacts filtered to only those added in the last 12 months
You're only re-engaging recent contacts for this campaign. Older records should stay in the sheet but be excluded from the mailing list.
Pull all my AMCards contacts into columns A–E, then add a column F that says "include" if created_at is within the last 365 days and "exclude" otherwise — sort the sheet so all "include" rows appear first
Full cleanup, gap analysis, and a ready-to-send segment in one shot
Fetch all my AMCards contacts into columns A–E, flag blank emails in column F, flag incomplete names (missing last name) in column G, mark contacts added in the last 12 months as "include" in column H, then write a summary at the top of column J showing total contacts, total with missing email, and total flagged for inclusion
The whole audit in one prompt. That's the pattern worth keeping.
Try It
Get the 7-day free trial of SheetXAI and open a Google Sheet next to your CRM export, then ask it to pull your AMCards contact list and flag the gaps before your next campaign goes out. Related: import your full card send history or the AMCards integration overview.