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 an Excel workbook 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 Excel, 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 Excel workbook. It calls the Mailbluster orders API, handles pagination automatically, and writes the results into a structured table — ready to pivot.
Export every MailBluster order to Excel 'Revenue Analysis' with order_id, email, amount, currency, and created_date — sort by amount descending
What You Get
- All orders from your Mailbluster account are pulled and written to the 'Revenue Analysis' sheet
- Columns land in the order specified: order_id, email, amount, currency, created_date
- Results are sorted by amount descending so the highest-value orders surface immediately
- The worksheet is ready for pivot tables — revenue by month, by campaign, by product
What If the Data Is Not Quite Ready
You only want orders from the past six months
Export all Mailbluster orders created after 2025-11-14 to Excel 'Revenue Analysis' with order_id, email, amount, currency, created_date — sort by amount descending
You want a product revenue summary alongside the raw data
Export all Mailbluster orders to worksheet 'Raw Orders' with order_id, email, product_name, amount, currency, created_date — then create a summary worksheet 'By Product' showing product_name and total revenue, sorted descending
You want to tag each row with a quarter label
Fetch all Mailbluster orders, write to 'Revenue Analysis' with order_id, email, amount, currency, created_date — add a column Q that labels each row Q1/Q2/Q3/Q4 based on the created_date month
Full export-plus-analysis in one shot
Fetch all Mailbluster orders, write to 'Revenue Analysis' with order_id, email, product_name, amount, currency, created_date — sort by amount descending, highlight rows where amount exceeds 500 in yellow, add a total row at the bottom summing the amount column
One prompt, one operation, analysis-ready output.
Try It
Get the 7-day free trial of SheetXAI and open a blank Excel workbook, then ask it to pull all your Mailbluster orders into a revenue analysis table sorted by amount. For managing the orders you find, see how to bulk delete stale orders or return to the Mailbluster overview.