🇺🇸English
Full Multi-Platform Ads Audit
Process
- Collect account data — request exports, screenshots, or API access
- Detect business type — analyze account signals per ads orchestrator
- Identify active platforms — determine which platforms are in use
- Delegate to subagents (if available, otherwise run inline sequentially):
audit-google — Conversion tracking, wasted spend, structure, keywords, ads, settings (G01-G74)audit-meta — Pixel/CAPI health, creative fatigue, structure, audience (M01-M46)audit-creative — LinkedIn, TikTok, Microsoft creative checks + cross-platform synthesisaudit-tracking — LinkedIn, TikTok, Microsoft tracking + cross-platform tracking healthaudit-budget — LinkedIn, TikTok, Microsoft budget/bidding + cross-platform allocationaudit-compliance — All-platform compliance, settings, performance benchmarks
- 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:
- Google Ads: account export, Change History, Search Terms Report
- Meta Ads: Ads Manager export, Events Manager screenshot, EMQ scores
- LinkedIn Ads: Campaign Manager export, Insight Tag status
- TikTok Ads: Ads Manager export, Pixel/Events API status
- Microsoft Ads: account export, UET tag status, import validation results
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 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
Weekly Installs
100
Repository
agricidaniel/claude-ads
GitHub Stars
1.2K
First Seen
Feb 16, 2026
Security Audits
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Installed on
codex94
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gemini-cli93
github-copilot93
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