Use cases / Analytics

Diagnose why ROAS moved this week

Ask Claude to investigate a change in blended or platform ROAS and break it into the operating levers that moved, with Shopify orders as the source of truth.

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Works with Shopify · Meta

Describe the task

Ask Claude to investigate a change in blended or platform ROAS and break it into the operating levers that moved, with Shopify orders as the source of truth.

Connect to my Shopify store and Meta ads account. Blended ROAS changed from [old] to [new] this week. Break the movement into spend, CPM, CTR, conversion rate, AOV, product mix, and new versus returning customers. Tell me the main cause and show the numbers.

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What you'll need

Your Shopify store and Meta ads account connected
The ROAS definition you use, such as Meta-reported, blended, or new-customer ROAS
The period that changed and the baseline you want it compared with

What Claude does

Reconciles ad spend and attributed conversions with real Shopify revenue
Breaks the ROAS change into CPM, CTR, conversion rate, AOV, product mix, and new versus returning customers
Checks for stockouts, promotions, tracking changes, or one campaign distorting the total
Ranks the likely causes by impact and shows the numbers supporting each one

What you get

A plain-language ROAS diagnosis with the main driver, its measured impact, and the next check or action to take.

Ready to run it?

Open this workflow in Claude, connect the relevant tools, and run it against your brand data.

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What should you know before starting?

How does Claude diagnose why ROAS moved?

Claude breaks the change into CPM, CTR, conversion rate, AOV, product mix, attribution, and customer mix, then measures which driver explains most of the movement.

What do you need to start?

Start with your Shopify store and Meta ads account connected. Add the ROAS definition you use, such as Meta-reported, blended, or new-customer ROAS.

What does Claude return?