Meta Catalog & Advantage+ Product Analysis

Which products actually drive your catalog-campaign results — and which just ride along.

Sources

Meta Ads

Runs in

ClaudeChatGPT

Output

ExcelHTML

Frequency

Monthly

The prompt

Copy this into Claude or ChatGPT with your HYPD MCP connected, then swap in your account details.

Prompt

Analyze product-level performance in my Meta catalog campaigns. Inputs (ask me for any that are missing before you start): - Ad account: [name or act_ID] - Scope: [specific Advantage+ / catalog campaign, or "all"] - Timeframe: [default: last 30 days] - Output format: [Excel, HTML, or both] Steps: 1. Resolve the catalog the account actually advertises, then pull the product_id breakdown from the connected Meta Ads account. 2. Rank products by spend and ROAS; flag high-spend products with weak returns and strong products getting little delivery. 3. Check catalog health for the flagged products: image quality, price, availability, title. 4. Return a table (Product | Spend | ROAS | Share of results | Issue | Action) in the chosen format(s) — findings framed as testable hypotheses.

How it works

1
Sign up for HYPD
Create your HYPD account, connect your ad accounts, and set per-client permissions so AI only ever sees what you allow.
2
Connect Claude or ChatGPT
Add the HYPD MCP to your AI tool so it can read your live ad data, read-only and GDPR compliant.
3
Paste the prompt and run
Copy the prompt above into Claude or ChatGPT and run it. It returns real results from your own accounts.

Get started