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

Signal	Threshold	Action Required
Frequency	>3-4	Refresh creative or expand audience
CTR declining	>15-20% drop over 7 days	New creative needed
CPM rising	>30-40% over 2 weeks	Creative reset required
Ad Relevance	"Below Average" ranking	Immediate 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)