The Scenario
Your customer success lead flagged a concern in Monday's standup: 200 high-value customers haven't placed an order in over 90 days. She has their customer IDs in a Google Sheet. Before she can run a re-engagement campaign, she needs lifetime order counts, total spend, and last order date for each of them — to confirm which ones are actually at churn risk and which ones bought in bulk and haven't needed anything since.
Pulling that data from Shopify's admin means clicking into each customer profile individually and noting the numbers. 200 profiles. Nobody has time for that.
The bad version:
- Open the Shopify admin, search for the first customer ID, click the profile, note the order count, scroll to find total spend, note the last order date.
- Return to the search bar. Enter the next customer ID.
- 200 times, with a spreadsheet open in another window where you're typing the numbers.
The re-engagement campaign brief is due Wednesday. This is Monday. The math on 200 manual profile pulls does not work.
The Easy Way: One Prompt in SheetXAI
SheetXAI is an AI agent that lives inside your Google Sheet. It reads the customer IDs, fetches order history from Shopify for each one, and writes the summary data back — all in one pass.
For each customer ID in column A of my VIP Customers sheet, fetch all their Shopify orders and write total order count and lifetime spend into columns B and C
What You Get
- Lifetime order count and total spend written back into columns B and C for each customer ID in the list.
- Any customer IDs that don't resolve in Shopify get an error note in column B so you can investigate those specifically.
- The customer success lead has a working churn analysis dataset ready for segmentation and campaign targeting.
What If the Data Is Not Quite Ready
You also need the date of the most recent order
For each customer ID in column A of my VIP Customers sheet, fetch their Shopify orders and write order count, total spent, and last order date into columns B, C, and D
Some rows have email addresses instead of customer IDs
For each row in my VIP Customers sheet, look up the Shopify customer by the value in column A — treat it as a customer ID if it's numeric, otherwise look up by email — write order count and lifetime spend into columns B and C
You want to flag customers who haven't ordered in 90+ days
For each customer ID in column A of my VIP Customers sheet, fetch Shopify order history and write order count, lifetime spend, and last order date into columns B, C, and D — add a flag in column E that says 'at risk' if last order date is more than 90 days ago
Look up by ID or email, pull order count, spend, last order date, add churn flag, skip resolved rows
For each row in my VIP Customers sheet where column B is blank, look up the Shopify customer by ID (if column A is numeric) or by email (if not) — write order count, lifetime spend, and last order date into columns B, C, D — flag 'at risk' in column E if last order was more than 90 days ago or if order count is 1
Running the churn flag alongside the order history pull means the customer success lead gets an action-ready list, not raw data she has to analyze separately.
Try It
Get the 7-day free trial of SheetXAI and open the customer list your success lead flagged in Monday's standup, then ask SheetXAI to pull order history and churn flags for all 200 customers before the campaign brief is due. Future churn analyses will use the same prompt with an updated customer list. Also worth reading: how to bulk update customer tags based on the resulting segmentation, or the hub overview for all Shopify workflows.