ads-audit

Full Multi-Platform Ads Audit

Process

1. Collect account data: request exports, screenshots, or API access
2. Validate: confirm at least one platform's data is available before proceeding
3. Detect business type: analyze account signals per ads orchestrator
4. Identify active platforms: determine which platforms are in use
5. Delegate to subagents (3 parallel deep specialists, one per platform):
6. 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*)
7. 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-wired
8. audit-tiktok: Pixel + Events API + ttclid, creative diversity, Smart+, GMV Max, Symphony, learning phase (T01-T25, T-SR*)
9. Validate: verify each subagent returned valid scores with required fields before aggregating
10. Score: calculate per-platform and aggregate Ads Health Score (0-100)
11. 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 | |----------|-----------------| | Google | Conversion 25%, Waste 20%, Structure 15%, Keywords 15%, Ads 15%, Settings 10% | | Meta | Pixel/CAPI 30%, Creative 30%, Structure 20%, Audience 20% | | LinkedIn | 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 findings
• ADS-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