The Scenario
Your buyer just finished the seasonal price refresh. 90 products have updated prices and new image URLs — tracked in a Google Sheet with product_id, new_price, new_image_url, and new_name. The sale campaign goes live in 48 hours. If the products in Mailbluster still show the old prices, every revenue attribution number from the campaign will be wrong from the start.
The bad version:
- Open Mailbluster's product catalog, search for the first product by ID, click edit, update the price, update the image URL, save
- Repeat for 90 products — each requires a search, three field updates, and a save
- Halfway through, realize you have no way to confirm which products you've already updated without cross-referencing the sheet manually
This is a data sync problem dressed up as a marketing ops task. The spreadsheet has the correct values. The catalog has the old ones. The gap between them shouldn't require two hours of your afternoon.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It reads the update table and patches each Mailbluster product record through the API — no searching, no clicking through forms.
Sheet 'Product Updates' has columns: product_id, new_price, new_image_url, new_name for 90 rows — update each Mailbluster product with the revised details
What You Get
- Each product_id in column A is matched to its Mailbluster record
- price, image_url, and name are updated to the new values from the sheet
- Products not found in Mailbluster by ID are flagged in a notes column
- A completion summary writes back to the sheet showing the update status for each row
What If the Data Is Not Quite Ready
Some products only need price updates — image URL column is blank
Sheet 'Product Updates' columns: product_id, new_price, new_image_url, new_name — only update fields where the new value is non-blank; skip the image_url update for any row where column C is empty
Prices include currency symbols from the buyer's export
Sheet 'Product Updates' — strip dollar signs and commas from the new_price column and convert to numeric, then update each Mailbluster product with the cleaned price
Updates are split across two sheets — electronics and apparel categories
Sheets 'Electronics Updates' and 'Apparel Updates' both have product_id, new_price, new_image_url in the same column order — combine and update all matching Mailbluster products with the new values
Validate, clean, and update in one shot
Sheet 'Product Updates' — skip rows with blank product_id, strip currency symbols from new_price, apply only non-blank field updates to each Mailbluster product, write update status and any error reason to column E
One prompt covers the edge cases so the catalog is ready before the campaign brief goes to design.
Try It
Get the 7-day free trial of SheetXAI and open the Google Sheet with your seasonal price updates, then ask it to push all changes into Mailbluster before your campaign launches. See the related guide on bulk creating products or return to the Mailbluster overview.