Claude for Ecommerce
Use cases  /  Analytics
Diagnose why revenue moved this week — illustration

Diagnose why revenue moved this week

Claude investigates a change in revenue, orders, or AOV and traces it back to a cause — a channel, a product, a cohort, or an outage — instead of just reporting the number.

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Works with Shopify · Meta
1

Describe the task

Ask Claude to investigate a change in revenue, orders, or AOV and trace it back to a cause — a channel, a product, a cohort, or an outage — instead of just reporting the number.

Connect to my Shopify store and ad accounts. Revenue dropped this week compared to last week — find out why and tell me what changed.

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2

What you'll need

  • Your Shopify store connected
  • Ad accounts connected (Meta, Google) if the cause might be traffic-related
  • The specific period and metric you're worried about
3

What Claude does

  • Pulls order and traffic data for the period in question via the Shopify and ad connectors
  • Breaks the change down by channel, product, and customer cohort — new versus returning
  • Checks for an obvious cause: a paused campaign, an out-of-stock best-seller, a broken discount code
  • Reports the likely driver in plain language, with the numbers behind it
What you get

A short explanation of what actually moved — which channel, product, or cohort — with the supporting numbers, instead of a vague dashboard trend.

Ready to try it?

Open this in Claude and point it at your store. You approve everything before it ships.

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Frequently asked questions

  • Do I need my ad accounts connected for this? Only if the cause might be traffic-related. Your Shopify store connected is the minimum; connect Meta or Google as well if you suspect a channel issue.
  • What kind of answer does this actually give me? A plain-language explanation of what moved — a channel, product, or customer cohort — with the numbers behind it, instead of just a chart.
  • Does it check for obvious causes like a broken discount code? Yes. Claude checks for a paused campaign, an out-of-stock best-seller, or a broken discount code before looking for anything more complicated.