The Scenario
A new RevOps analyst just joined and the first request on their list is: enrich the customer email list with data from ActiveCampaign. The list has 500 emails in column A. The request is to add columns for lead score, account name, and lifecycle stage — all of which exist as custom fields on the contacts in ActiveCampaign.
The previous analyst did this quarterly by exporting from ActiveCampaign, doing a VLOOKUP against the email list, and fixing the ones that didn't match. The export is gone. The VLOOKUP formula is gone. The new analyst has the list and the request and that's it.
The bad version:
- Export all contacts from ActiveCampaign as a CSV and open it in a separate sheet
- Write a VLOOKUP or INDEX-MATCH formula to pull lead score by email — discover the email formats don't match (some have trailing spaces, some are uppercase)
- Normalize the emails, re-run the lookup, find that the custom field column names in the export don't match what was expected, re-map them manually
- Repeat for account name and lifecycle stage, then copy-paste the results into the original sheet
Three lookups, one normalization pass, and a manual copy step. For 500 rows. Every quarter.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads the email list in column A and fetches the specified custom field values directly from ActiveCampaign for each contact — no separate export, no VLOOKUP, no formula fragility.
For each email in column A, look up the contact in ActiveCampaign and fill columns B, C, D with their lead score, account name, and lifecycle stage
What You Get
- Column B filled with the lead score for each contact
- Column C filled with the account name
- Column D filled with the lifecycle stage
- Contacts not found in ActiveCampaign left blank in those columns — no row skipped, just empty cells with the email still in column A
- No formulas, no separate lookup sheet, no CSV to clean up
What If the Data Is Not Quite Ready
Some emails in column A have inconsistent casing or trailing spaces
Normalize emails in column A to lowercase and trim whitespace before looking up each contact in ActiveCampaign, then fill columns B, C, D with lead score, account name, and lifecycle stage
The fields you need are in different custom field groups in ActiveCampaign
For each email in column A, fetch the ActiveCampaign custom fields Industry from the Firmographic group, Employee Count from the Company Info group, and Last Purchase Date from the Commerce group — write them to columns B, C, D respectively
You want a flag column to mark which emails returned no match
Look up each email in column A in ActiveCampaign — fill columns B, C, D with lead score, account name, and lifecycle stage; add a column E with NOT FOUND for any email that didn't match a contact
The enrichment should only run on rows where column E is a paying customer and column F is blank
For rows where column E says "paying customer" and column F is blank, look up the contact in ActiveCampaign by email in column A and fill column F with their lead score and column G with their lifecycle stage
Scoping the enrichment to specific rows avoids unnecessary API calls and keeps the sheet clean.
Try It
Get the 7-day free trial of SheetXAI and open the customer list, then ask it to enrich the sheet with live data from ActiveCampaign in one pass. For the reverse direction — pushing field updates back to ActiveCampaign — see the bulk-update-account-custom-fields spoke, or return to the hub for the full integration overview.