Process
- Collect account data: request exports, screenshots, or API access
- Validate: confirm at least one platform's data is available before proceeding
- Detect business type: analyze account signals per ads orchestrator
- Identify active platforms: determine which platforms are in use
- Delegate to subagents (3 parallel deep specialists, one per platform):
audit-google: Conversion tracking, wasted spend, structure, keywords, ads, settings, PMax, AI Max, Demand Gen, CTV, YouTube video campaigns (G01-G74, G-PM*, G-AI*, G-DG*, G-CTV*)audit-meta: Pixel/CAPI health, creative fatigue, structure, audience, Andromeda, Advantage+ (M01-M40, M-AN*, M-AT*, M-CR*, M-ST*, M-IA*, M-TH*) — MCP-wiredaudit-tiktok: Pixel + Events API + ttclid, creative diversity, Smart+, GMV Max, Symphony, learning phase (T01-T25, T-SR*)
- Validate: verify each subagent returned valid scores with required fields before aggregating
- Score: calculate per-platform and aggregate Ads Health Score (0-100)
- Report: generate prioritized action plan with Quick Wins
Data Collection
Ask the user for available data. Accept any combination:
- Meta Ads: Capa 1 (claude.ai Facebook MCP, free), Capa 2 (scripts/api/meta_fetch.py → meta-data.json), Capa 3 (Ads Manager export + Events Manager screenshot + EMQ)
- Google Ads: Capa 1 (cohnen/mcp-google-ads, free), Capa 2 (scripts/api/google_fetch.py → google-data.json), Capa 3 (account export + Change History + Search Terms Report)
- TikTok Ads: Capa 1 (AdsMCP/tiktok-ads-mcp, free), Capa 2 (scripts/api/tiktok_fetch.py → tiktok-data.json), Capa 3 (Ads Manager export + Pixel/Events API status)
If no exports available, audit from screenshots or manual data entry.
Scoring
Read ads/references/scoring-system.md for full algorithm.
Per-Platform Weights
| Platform | Category Weights |
|---|---|
| Conversion 25%, Waste 20%, Structure 15%, Keywords 15%, Ads 15%, Settings 10% | |
| Meta | Pixel/CAPI 30%, Creative 30%, Structure 20%, Audience 20% |
| Tech 25%, Audience 25%, Creative 20%, Lead Gen 15%, Budget 15% | |
| TikTok | Creative 30%, Tech 25%, Bidding 20%, Structure 15%, Performance 10% |
| Microsoft | Tech 25%, Syndication 20%, Structure 20%, Creative 20%, Settings 15% |
Aggregate Score
Aggregate = Sum(Platform_Score x Platform_Budget_Share)
Grade: A (90-100), B (75-89), C (60-74), D (40-59), F (<40)
Output Files
ADS-AUDIT-REPORT.md: Comprehensive multi-platform findingsADS-ACTION-PLAN.md: Prioritized recommendations (Critical > High > Medium > Low)ADS-QUICK-WINS.md: Items fixable in <15 minutes with high impact
Report Structure
Executive Summary
- Aggregate Ads Health Score (0-100) with grade
- Per-platform scores
- Business type detected
- Active platforms identified
- Top 5 critical issues across all platforms
- Top 5 quick wins across all platforms
Per-Platform Sections
Each platform section includes:
- Platform Health Score with grade
- Category breakdown with pass/warning/fail per check
- Platform-specific Quick Wins
- Detailed findings with remediation steps
Cross-Platform Analysis
- Budget allocation assessment (actual vs recommended)
- Tracking consistency (are all platforms tracking the same events?)
- Creative consistency (is messaging aligned across platforms?)
- Attribution overlap (are platforms double-counting conversions?)
Strategic Recommendations
- Platform prioritization based on business type
- Budget reallocation recommendations
- Scaling opportunities (platforms/campaigns ready to scale)
- Kill list (campaigns/ad groups to pause immediately)
Priority Definitions
- Critical: Revenue/data loss risk (fix immediately)
- High: Significant performance drag (fix within 7 days)
- Medium: Optimization opportunity (fix within 30 days)
- Low: Best practice, minor impact (backlog)
Quick Wins Criteria
IF severity == "Critical" OR severity == "High"
AND estimated_fix_time < 15 minutes
THEN flag as Quick Win
SORT BY (severity_multiplier x estimated_impact) DESC