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Mailbluster · Excel Guide

Bulk Delete Stale Orders in Mailbluster From a Excel

2026-05-14
5 min read

The Scenario

Your data hygiene project turned up 25 test orders and duplicates in Mailbluster — order IDs logged in an Excel workbook with order_id in column A and reason in column B. 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 24 more times — each deletion is at least four clicks and a search
  • At order 12, misread an ID and delete the wrong record — realize this only after you've already confirmed

Deleting 25 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 Excel workbook. It reads the list of order IDs and deletes each one from Mailbluster through the API — no searching, no clicking through confirmation dialogs 25 times.

Excel 'Order Cleanup' lists order_id and reason for 25 rows — delete each listed order 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 C rather than silently skipped
  • A completion log writes the deletion result for each row — "deleted," "not found," or "error"
  • The original reason from column B is preserved alongside the result

What If the Data Is Not Quite Ready

Some rows have blank order IDs

Excel 'Order Cleanup' — skip any rows where column A is blank, delete all remaining order_ids from Mailbluster, write results to column C

You want to verify existence before deleting

Excel 'Order Cleanup' has order_id in column A — first verify each order exists in Mailbluster and write "found" or "not found" to column C, then delete only those marked "found" and update column C with final status

The workbook has orders from two separate cleanup batches on two worksheets

Worksheets 'Batch 1 Cleanup' and 'Batch 2 Cleanup' both have order_id in column A — combine all unique order_ids and delete each from Mailbluster, writing results back to the respective worksheet

Full audit-and-delete in one shot

Excel 'Order Cleanup' has order_id and reason for 25 rows — skip blank order_id rows, verify each order exists, delete those found, write result (deleted / not found / error) to column C and deletion timestamp to column D

Running verification before deletion gives you a clean audit trail before the accountant runs the annual report.

Try It

Get the 7-day free trial of SheetXAI and open the Excel workbook 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.

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