The Scenario
Your data hygiene project turned up 40 test orders and duplicates in Mailbluster — order IDs that were created during QA testing, a handful of double-submissions from an import that ran twice, and a few orders from accounts that were since deleted. They've been identified and logged in a Google Sheet with the order_id in column A. Your annual revenue report is being prepared next week and these phantom records will inflate the numbers if they're not removed first.
Mailbluster's UI doesn't have a bulk-delete option for orders. You delete one order at a time.
The bad version:
- Open Mailbluster, navigate to the orders section, search for the first order_id on the list, open the record, click delete, confirm the deletion
- Repeat 39 more times — each deletion is at least four clicks and a search
- At order 15, misread an ID and delete the wrong record — realize this only after you've already confirmed
Deleting 40 records by hand in a system with no undo is the kind of task that produces mistakes. And the stakes here are real — delete the wrong order and you've corrupted your revenue data right before the annual report.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads the list of order IDs and deletes each one from Mailbluster through the API — no searching, no clicking through confirmation dialogs 40 times.
Sheet 'Delete Orders' has order_id in column A for 40 rows — delete all these orders from Mailbluster
What You Get
- Each order_id in column A is submitted to the Mailbluster delete endpoint
- Orders that don't exist (already deleted or wrong ID) are flagged in column B rather than silently skipped
- A completion log writes the deletion result for each row — "deleted," "not found," or "error"
- The operation completes in one pass with no manual searching
What If the Data Is Not Quite Ready
The sheet has order IDs mixed with blank rows
Sheet 'Delete Orders' — skip any rows in column A that are blank, delete all remaining order_ids from Mailbluster, and write results to column B
You want to confirm the orders exist before deleting
Sheet 'Delete Orders' has order_id in column A — first verify each order exists in Mailbluster and write "found" or "not found" to column B, then delete only those marked "found" and write final status to column C
The cleanup list includes a reason column and you want to log it
Sheet 'Delete Orders' has order_id in column A and reason in column B — delete each order from Mailbluster and write deletion confirmation to column C alongside the original reason
Full audit-and-delete in one shot
Sheet 'Delete Orders' has order_id and reason for 40 rows — remove any rows where order_id is blank, verify each order exists in Mailbluster, delete those that are found, write result (deleted / not found / error) to column C and timestamp to column D
Running verification before deletion means you have a clean audit trail before the annual report goes to the accountant.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet with your stale order IDs, then ask it to remove every listed order from Mailbluster before your revenue report runs. For getting a full view of what's in your order history first, see how to export all orders to a sheet or return to the Mailbluster overview.