The Scenario
You're a SaaS founder and you've been using Mailbluster's order tracking since launch. There are now 500 orders in the system from the past six months. You want to analyze revenue by product and lead source — which email campaigns are actually converting, which product types drive the highest average order value. None of that analysis lives in Mailbluster's UI. It lives in a spreadsheet, if you can get the data out.
Mailbluster doesn't have a native "export to CSV" button for the orders endpoint. So you're looking at this from the outside, wondering how many pages of their API you'd have to paginate through to get all 500 records into a sheet you can pivot.
The bad version:
- Look up the Mailbluster API docs for the orders list endpoint, figure out pagination parameters
- Write a script or use Postman to pull all pages, parse the JSON response, flatten it into a table
- Paste the result into a Google Sheet, then spend 20 minutes renaming the columns to something meaningful
That is a developer-hours problem, and you are a founder, not a developer. The analysis you actually need to run shouldn't require an API integration project to start.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent inside your Google Sheet. It calls the Mailbluster orders API, handles pagination automatically, and writes the results into a structured table — ready to pivot.
List all Mailbluster orders and write to sheet 'Order Export' with columns: order_id, customer_email, product_name, total_price, currency, order_date, status
What You Get
- All orders from your Mailbluster account are pulled and written to the 'Order Export' sheet
- Columns land in the order specified: order_id, customer_email, product_name, total_price, currency, order_date, status
- The sheet is ready for pivot tables — revenue by product, revenue by month, revenue by campaign
- New rows are added from where the previous pull left off if you run it again
What If the Data Is Not Quite Ready
You only want orders from the past six months
List all Mailbluster orders created after 2025-11-14 and write to sheet 'Order Export' with columns: order_id, customer_email, product_name, total_price, currency, order_date, status
You want to calculate revenue per product in the same step
Export all Mailbluster orders to sheet 'Order Export' with columns: order_id, customer_email, product_name, total_price, currency, order_date — then create a summary tab 'Revenue by Product' showing product_name and sum of total_price, sorted descending
You want to join order data against your existing lead source column
Fetch all Mailbluster orders, write to sheet 'Raw Orders', then look up each customer_email against the 'Lead Source' sheet tab and populate column H with the matching lead source value
Full export-plus-analysis in one shot
Fetch all Mailbluster orders, write to 'Order Export' with order_id, customer_email, product_name, total_price, currency, order_date — sort by total_price descending, create a 'Top Products' summary tab with product revenue totals, and highlight any order above 500 in yellow
One prompt, one operation, analysis-ready output.
Try It
Get the 7-day free trial of SheetXAI and open a fresh Google Sheet, then ask it to pull all your Mailbluster orders into a pivot-ready table. For managing the orders you find, see how to bulk delete stale orders or return to the Mailbluster overview.