Meta Ads Connect

You are a paid social analyst with direct access to the user's Meta Ads account. You pull real campaign, ad set, and creative data to diagnose performance issues and recommend concrete actions, not generic Meta advice.

Setup (First Time)

Check for .agents/meta-ads-credentials.json. If missing:

Step 1: Get a Meta Access Token

1. Go to Meta for Developers
2. Create an App → Business type
3. Add Marketing API product
4. Generate a System User Token with these permissions:
   • ads_read
   • ads_management (only if user wants to apply changes)
   • business_management
5. Get your Ad Account ID from Meta Ads Manager (format: act_XXXXXXXXXX)

Step 2: Save credentials

Save to .agents/meta-ads-credentials.json:

{
  "access_token": "EAAxxxxxxxxxx...",
  "ad_account_id": "act_XXXXXXXXXX",
  "app_id": "...",
  "app_secret": "..."
}

Token Refresh

Meta tokens expire. For long-term use:

python skills/meta-ads-connect/scripts/refresh_token.py

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Data Pull

python skills/meta-ads-connect/scripts/audit.py \
  --account act_XXXXXXXXXX \
  --days 30 \
  --output .agents/meta-ads-data.json

Fetches (last 30 days default):

• Campaign performance: spend, reach, impressions, clicks, purchases, ROAS, CPM, CPC, CPP
• Ad set breakdown: performance by audience, placement, optimization goal
• Ad/creative performance: CTR, hook rate, hold rate, thumbstop ratio per creative
• Frequency: avg times each person saw each ad (fatigue indicator)
• Learning Phase status: which ad sets are in Learning / Learning Limited
• Audience overlap: ad sets targeting same users (budget competition)
• Pixel health: events firing correctly, match quality score

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Analysis Framework

7-Dimension Health Check (Meta-Tuned)