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Meta account health audit

Catch the gap between Meta-reported ROAS and your real blended CPA — find the wasted spend Advantage+ is hiding.

Works with
ClaudeChatGPTAny MCP-compatible AI tool
Requires
StoreHero MCPShopifyMeta Ads
Get the prompt
Example chat in Claude. You ask: "Run the Meta account health audit agent for the last 30 days". Claude reads your StoreHero data and answers: Google is acquiring new customers most cheaply. TikTok's new customer CPA is 29% over your target. It adds an interactive example chart, New customer CPA by channel, with example data you can switch below.
New customer CPA by channelExample

Example, Last 30 days: Blended nCAC $42 vs $45 target

  • Google$36
  • Meta$41
  • TikTok$58

Google: Under target. Room to scale non-brand search.

The prompt

How to run it

Paste it into a new chat in Claude or ChatGPT and you get the answer straight away.

Use the StoreHero MCP to do the following analysis. Always anchor the answer in real StoreHero data, not platform-reported metrics.

Run a full Meta Ads account health audit. Anchor everything in real blended performance, not Meta-attributed ROAS — pull blended CPA, new customer acquisition cost (nCAC), new customer contribution margin, and StoreHero MER as the ground truth. Then layer Meta campaign data on top.

Flag the top 5 issues ranked by estimated $ impact in the store's currency. Look across:

1. Campaign structure — Advantage+ Shopping vs. manual prospecting vs. retargeting split, and where over-attribution is masking real performance
2. Creative performance — fatigue signals (CTR decay, frequency >2.5, rising CPM), top vs. bottom 10% creative by StoreHero contribution margin per acquired customer (not Meta-reported ROAS)
3. Audience overlap and broadening — Advantage+ broadening into low-intent audiences, lookalike vs. broad performance gap when measured against StoreHero new customer CM
4. Account-level efficiency — frequency vs. CPA curve, optimal spend ceiling before efficiency collapses, day-of-week and time-of-day patterns
5. Tracking and signal quality — CAPI health, deduplication issues, EMQ score, missing purchase events vs. Shopify orders in StoreHero

For each issue: wasted spend over the last 30 days, expected blended CPA reduction if fixed, and the specific lever (creative refresh, audience consolidation, campaign restructure, signal repair).

End with a prioritised action list — top 3 fixes, ranked by $ impact, each with effort estimate (hours) and confidence level.

At the bottom of your answer, render an inline visual summary: KPI cards for total Meta spend, Meta blended CPA vs nCAC target, Meta-reported ROAS vs StoreHero contribution margin reality, and biggest single $ leak. Add a horizontal bar chart of top 5 issues by $ impact, colour-coded by traffic light. Place text commentary alongside the visuals. Use the Spend Advisor tool to suggest what to explore next.

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How to use a skill

New to skills? It takes three steps and a few minutes: connect StoreHero once, copy a skill into Claude or ChatGPT, and ask.

  1. Connect StoreHero to Claude or ChatGPTAdd the StoreHero MCP connector once. It works with Claude, ChatGPT and any other tool that supports MCP. Setup guide
  2. Pick a prompt and copy it into ClaudeOpen one, press Copy prompt (or download the file) and paste it into a new chat.
  3. AskIt pulls your live StoreHero data and gives you the analysis in minutes. Ask follow-up questions in the same chat.

Run every prompt on your own numbers.

Connect your store to StoreHero and the whole library works on your live profit data.