How to use it

1. Download the file and put it in a folder called shopify-customer-segmentation.
2. Claude: zip the folder and upload it under Settings, Capabilities, Skills. Claude Code, Codex, Gemini CLI or Cursor: drop the folder in your skills directory.
3. Connect your store with the Shopify connector (and GA4 or ad accounts where the skill mentions them).
4. Ask for the job in plain English. The skill loads itself when the request matches.

What's inside

Customer Segmentation

When the user asks for a customer segment, use the connected Shopify MCP to:

1. Parse the segment definition

Confirm with the user: - Time window (last 30 / 60 / 90 / 365 days) - Order behavior (1 order, 2+ orders, lapsed, never bought) - Product / collection filter - Channel filter (acquired via Meta, Google, organic, etc.) - Email engagement filter (opened welcome flow Y/N, if Klaviyo connected)

2. Query Shopify

• Pull customers matching filters
• For each: email, first/last order date, order count, total spent, top product, tags

3. Score recency + value

For each customer: - Recency score (days since last order) - Frequency score (order count percentile) - Monetary score (LTV percentile) - RFM segment (Champion, Loyal, At Risk, Hibernating, Lost)

4. Suggested campaign

Based on the segment: - Lapsed VIPs → re-engagement with comeback discount - Repeat buyers who skipped welcome → backfill the welcome series - One-time buyers in 30-60 day window → second-purchase nudge with cross-sell

5. Output

• Segment size + estimated revenue opportunity
• CSV with: email, first_name, tag, RFM segment, suggested offer
• 3 subject-line variants for the campaign
• Klaviyo / Shopify Email import steps

Always exclude unsubscribed customers.

Also on GitHub.