Shopify's built-in customer export works — but it always gives you everything. Want just the customers who spent over $200? Or only those from a specific country? Or people who ordered in the last 90 days but haven't come back? The default export doesn't filter. You get the full CSV and sort it yourself.
Segmented exports the easy way
With Claude MCP Connector, you describe the segment you want and get the data directly:
Claude
Export all customers who spent over $200 total and haven't ordered in 60 days — name, email and total spend.
C
Found 38 matching customers. Here's the file:
lapsed-vip-customers.csv
38 rows · name, email, total spend
Avg spend in segment$310
Revenue at risk$11,780lifetime value
Also tag them 're-engage' →
Claude pulls the filtered data from your store and delivers a clean CSV — no manual sorting, no pivot tables.
Useful customer export scenarios
Customers who ordered 90+ days ago but not since
VIPs with lifetime value above a threshold
Everyone in a specific country or region
Customers with a custom tag like 'wholesale'
Tag customers automatically too
You can combine the export with tagging in the same session:
"Tag all customers who have placed 3 or more orders as 'loyal'. Then export that list."
This creates your segment in Shopify and gives you the data for your email platform in one conversation.