The Scenario
It's the Monday before your welcome campaign launches. You have 4,200 new trial sign-ups sitting in an Excel workbook — email in column A, first name in column B, plan tier in column C — and every single one needs to be in Enginemailer as a subscriber with the plan tier stored as a custom field before Thursday.
The bad version:
- Export the table to CSV, realize the column headers don't match Enginemailer's field names, rename them in a second file, and upload — only to discover custom fields require a separate import flow entirely.
- Download the custom field import template, manually paste the 4,200 rows into the correct columns, upload it as a second file, wait for the confirmation email, then cross-reference both import logs for errors.
- Find 63 rows that failed because of whitespace in the email column, fix them in a third CSV, and start the whole loop again.
That's not three steps. It's three files, two import sessions, and an error log that still doesn't tell you which rows actually made it in.
You're supposed to be setting up the campaign, not managing file gymnastics. The import is blocking everything else.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It reads your data, understands the structure, and talks to Enginemailer directly through its built-in integration — so you never touch a CSV file.
Take all contacts in my Excel 'Leads' table and bulk-add them to Enginemailer using the email and name columns, then write each subscriber's returned ID into column E.
What You Get
- Each row processed in order — SheetXAI pushes each subscriber to Enginemailer and writes the returned subscriber ID into column E.
- The plan tier value from column C lands in the 'plan_tier' custom field on each subscriber record, not in a generic notes field.
- Failed rows are visible immediately — you can filter column E for errors without hunting through a separate import log.
- No second CSV pass for custom fields — the mapping and the subscriber creation happen in a single operation.
What If the Data Is Not Quite Ready
Email addresses include trailing whitespace or mixed case
Before importing, trim whitespace from every email in column A and lowercase them, then batch-add all rows to Enginemailer with first name from B and plan_tier from C — write the result into column D.
First names are missing for a subset of rows
Add all rows from my Excel 'Leads' table to Enginemailer. Use column A for email, column B for first name — if B is blank, use "Friend" as the first name. Store column C as 'plan_tier'. Write status to column D.
You only want to import the 'enterprise' tier rows now
Import only the rows from my Excel 'Leads' table where column C equals 'enterprise' into Enginemailer as subscribers, with email from A, first name from B, and plan_tier from C set to 'enterprise'. Write import status to column D.
Clean, import, and validate in one pass
In my Excel 'Leads' table: trim column A emails and lowercase them, replace any blank first names in B with 'Friend', then import only rows where column C is 'enterprise' into Enginemailer with email, first name, and plan_tier mapped from A, B, C — write the result to column D.
One prompt handles the cleanup and the action together, so you're not running separate passes for what is really one job.
Try It
Get the 7-day free trial of SheetXAI and open the Excel workbook with your next sign-up batch — then ask it to import, map the custom fields, and report back in column D. For related tasks, see Tag Subscribers by Segment or the Enginemailer hub overview.