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meta-ads-audit

Audit Facebook and Instagram advertising data for repeated-ad fatigue, overlapping audiences, campaign structure, and conversion tracking issues. Receive an account health summary, prioritized recommendations, and opportunities to increase budgets where performance supports expansion.

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Meta/Facebook/Instagram Ads campaign structure analysis detecting creative fatigue, audience overlap, scaling opportunities, and iOS tracking verification issues. Use when pasting Meta account data, analyzing Facebook ad performance, reviewing Instagram campaigns, or requesting audit of social advertising spend. Platform: Meta.

集成工具InstagramFacebook

实测评分 未实测

查看安装方法

适用场景

  • Checking whether audiences are tiring of repeated ads
  • Finding overlapping audiences across ad sets
  • Reviewing Pixel and Conversions API tracking
  • Assessing campaign structure and budget expansion opportunities

包含的文件(1)

  • SKILL.md4.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Meta Ads Audit

Analyze Meta advertising accounts for structural issues, creative performance, and tracking health.

Process

  1. Request account data - Ads Manager exports (campaign, ad set, ad level with time series)
  2. Check creative fatigue signals - Frequency, CTR trends, CPM inflation
  3. Analyze audience overlap - Identify cannibalization between ad sets
  4. Verify tracking setup - Pixel, Conversions API, Event Match Quality
  5. Evaluate campaign structure - Advantage+ vs Manual decisions
  6. Deliver prioritized recommendations

Creative Fatigue Detection

SignalThresholdAction Required
Frequency>3-4Refresh creative or expand audience
CTR declining>15-20% drop over 7 daysNew creative needed
CPM rising>30-40% over 2 weeksCreative reset required
Ad Relevance"Below Average" rankingImmediate creative swap

Audience Overlap Analysis

Scoring (use Facebook Audience Overlap Tool):

  • 0-15% overlap = Safe, continue
  • 15-30% overlap = Monitor, consider consolidation
  • 30% overlap = Consolidate or add exclusions

Tracking Verification Checklist

  • Meta Pixel installed (use Pixel Helper Chrome extension)
  • Conversions API (CAPI) configured with server-side events
  • Event Match Quality score ≥6
  • Browser events (blue) AND server events (green) firing in Events Manager
  • iOS 14.5+ ATT prompt implemented
  • Aggregated Event Measurement configured (8 events prioritized)

Advantage+ vs Manual Decision Logic

Use Advantage+ Shopping/App campaigns when:

  • Scaling established products
  • Prospecting broad audiences
  • Budget >$100/day for algorithm learning
  • Have 50+ conversions/week

Use Manual campaigns when:

  • Retargeting specific segments
  • Testing new creatives
  • Budget <$50/day
  • Need precise audience control

Output Format

## Meta Ads Audit Summary

**Account Health Score**: [X/100]
**Analysis Period**: [Date Range]
**Total Spend Analyzed**: $[Amount]

### 🔴 Creative Fatigue Alerts
| Campaign | Frequency | CTR Trend | Action |
|----------|-----------|-----------|--------|

### 🟡 Audience Issues
- Overlap detected: [Ad Set A] ↔ [Ad Set B]: [X]%
- Recommendation: [Action]

### 📊 Tracking Health
- Pixel: [✅/❌]
- CAPI: [✅/❌]
- EMQ Score: [X/10]

### Scaling Opportunities
1. [Campaign] - ROAS [X], ready for [X]% budget increase

### Confidence Level: [HIGH/MEDIUM/LOW]

Example

Input: "Campaign A: $5K spend, frequency 5.2, CTR dropped 25% this week. Campaign B: $3K, frequency 2.1, stable CTR. Both targeting 'fitness enthusiasts' with 40% overlap."

Output:

## Meta Ads Audit Summary

**Account Health Score**: 55/100

### 🔴 Creative Fatigue Alerts
| Campaign | Frequency | CTR Trend | Action |
|----------|-----------|-----------|--------|
| Campaign A | 5.2 (HIGH) | -25% ⚠️ | Immediate creative refresh |
| Campaign B | 2.1 (OK) | Stable | Monitor |

### 🟡 Audience Issues
- Overlap detected: Campaign A ↔ Campaign B: 40% (CRITICAL)
- Recommendation: Consolidate into single campaign or add exclusions. Currently bidding against yourself.

### Priority Actions
1. Pause Campaign A creatives, launch 3-5 new variations
2. Add Campaign B audiences as exclusion to Campaign A (or vice versa)
3. Consider CBO to let algorithm optimize across ad sets

### Confidence Level: HIGH
Time-series data provided for trend analysis.

Guidelines

  • Request at minimum 14 days of data for trend analysis
  • If tracking data unavailable, note this as critical gap
  • Never assume iOS tracking loss percentage - ask for actual data
  • Flag frequency >7 as severe (audience exhaustion)

Data access (Ryze MCP)

This skill works best with live account data. Connect the free Ryze MCP once and Claude reads your Google Ads, Meta Ads, GA4 and Search Console directly:

  • claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → https://connector.get-ryze.ai/mcp
  • Claude Code: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp
  • Cursor: Settings → MCP → add the same URL

Setup guide: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp

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