AgentPaid ads

Find Meta Ads waste

Catch the over-attribution gap, fatigued creative, and audience leaks Advantage+ won't show — measured in real blended $ wasted.

Works with
ClaudeChatGPTAny MCP-compatible AI tool
Requires
StoreHero MCPShopifyMeta Ads
Get the prompt
Example chat in Claude. You ask: "Run the Meta Ads Waste Finder on the last 30 days". Claude reads your StoreHero data and answers: $4,820 of Meta spend didn't pay back against your blended CPA in the last 30 days. Fatigued creative is the biggest leak. It adds an interactive example chart, Wasted Meta spend by source, with example data you can switch below.
Wasted Meta spend by sourceExample

Example, Last 30 days: $4,820 wasted, $2,140 recoverable this week

  • Fatigued creative$2,140
  • Audience overlap$1,310
  • View-through credit$880
  • Low-intent placements$490

Fatigued creative: 6 ads past 4.2 frequency at 2.1x your blended CPA. Pause and refresh.

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.

Find Meta Ads waste over the last 30 days. Anchor everything in real blended performance — pull blended CPA, new customer acquisition cost (nCAC), and new customer contribution margin as the ground truth. Then identify Meta spend that isn't paying back when measured against StoreHero data, not Meta-attributed ROAS (which over-reports on Advantage+ and view-through).

Look for:

1. Over-attribution gap — campaigns where Meta-reported ROAS looks healthy (>2x) but StoreHero blended CPA exceeds nCAC ceiling. Show the size of the gap in $
2. Creative fatigue — ads with frequency >2.5, CTR decay >25% week-over-week, or rising CPM with flat conversions. Spend allocated to fatigued creative last 30 days
3. Advantage+ broadening — Advantage+ Shopping campaigns that have widened audiences and now pull lower-intent traffic, with blended new customer CM dropping below threshold
4. Retargeting overlap — retargeting campaigns claiming conversions that prospecting already paid for. Show estimated cannibalisation $
5. Audience underperformers — interest-based, lookalike, or custom audiences with blended CPA above nCAC ceiling, with min 20 conversions for significance
6. Placement leak — placements (Audience Network, Reels, Right Column) eating spend with disproportionately weak blended performance

For each waste source: $ wasted last 30 days, projected $ saved if action taken, and the exact action (creative pause, audience consolidation, placement exclusion, campaign restructure, frequency cap).

End with a single number: total $ wasted last 30 days that could be recovered with this week's actions.

At the bottom of your answer, render an inline visual summary: a single big KPI card showing total recoverable $ over 30d, plus a horizontal bar chart of waste sources ranked by $ impact, colour-coded by ease-of-fix. Add one extra card showing the gap between Meta-reported ROAS and StoreHero blended reality. 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.