The Scenario
The e-commerce manager is building a checkout abandonment recovery campaign. She needs 90 days of abandoned checkout data from Shopify — customer email, cart total, number of items, abandonment date — in an Excel workbook so she can segment by cart value and assign recovery email sequences.
She asked the agency handling the store for the data. The agency said they'd look into it. That was a week ago.
The bad version:
- Check Shopify's abandoned checkouts report — it shows a count and a recovery rate but doesn't export individual records in a usable format.
- Try a third-party recovery app — it pulls some data but requires its own export format, and the free tier only goes back 30 days.
- Try to read Shopify's API documentation and figure out how to paginate through abandoned checkouts manually.
The campaign brief is due Friday. The segmentation depends on the data. The agency still hasn't replied.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Excel workbook. It queries Shopify's abandoned checkout API and writes the records directly into the workbook in the structure the campaign requires.
Pull the last 90 days of Shopify abandoned checkouts into my Recovery Analysis Excel sheet and add a column calculating cart value bands (0-50, 50-100, 100+) for segmentation
What You Get
- One row per abandoned checkout, with customer email, cart total, line item count, and abandonment date in labeled columns.
- A cart value band column calculated automatically — "Under 50," "50-100," "Over 100" — ready for campaign sequence assignment.
- All 90 days of data in one pull, without a 30-day app limit or a manual API pagination exercise.
What If the Data Is Not Quite Ready
You need only checkouts where the customer provided an email address
Pull the last 90 days of Shopify abandoned checkouts into my Recovery Analysis Excel sheet — include only rows where customer email is not blank — add a cart value band column
You also need to know which items were left in the cart
Pull the last 90 days of Shopify abandoned checkouts into my Recovery Analysis Excel sheet — write customer email, cart total, abandonment date, and the cart line item titles as a comma-separated list in column E — add a cart value band column
Checkouts from return customers should be flagged separately
Pull the last 90 days of Shopify abandoned checkouts into my Recovery Analysis Excel sheet — write customer email, cart total, number of line items, abandonment date — add a flag column that says 'returning' if the customer has a prior completed order in Shopify and 'new' otherwise
Full recovery segmentation: email only, items listed, returning flag, and value bands
Pull the last 90 days of Shopify abandoned checkouts where customer email is not blank into my Recovery Analysis Excel sheet — write email, cart total, line items as comma-separated titles in column E, abandonment date — add a returning/new flag based on prior order history — add cart value band column (Under 50 / 50-100 / Over 100)
Running the returning-customer flag and value band logic alongside the pull means the campaign manager has a fully segmented workbook without a second analysis pass.
Try It
Get the 7-day free trial of SheetXAI and open the recovery analysis workbook before Friday's campaign brief, then ask SheetXAI to pull 90 days of abandoned checkouts with segmentation columns built in. Future recovery campaigns will start the same way. Also worth reading: how to export orders for revenue reconciliation, or the hub overview for all Shopify workflows.