--- name: ads-audit description: "Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Microsoft Ads, and Apple Ads accounts via 6 parallel audit agents. Amazon Ads, cross-platform attribution, and server-side tracking are covered by their standalone sub-skills (ads-amazon, ads-attribution, ads-server-side-tracking) — Wave 3 will add their paired agents so they can dispatch in parallel here. Generates health score per platform and aggregate score (0-100). Use when user says audit, full ad check, analyze my ads, account health check, paid media audit, paid advertising audit, ad spend audit, advertising audit, or PPC audit." user-invokable: false tested_date: 2026-05-17 tested_with: claude-code v2.x --- # Full Multi-Platform Ads Audit This audit operates under the **10-Principle Thinking Framework** (see `ads/references/thinking-framework.md`). OBSERVE (External + Internal) dominates data collection, THINK + CONNECT (Lateral) dominate analysis, CONNECT (System) + ACCEPT dominate synthesis and prioritization. If the audit feels mechanical, you are skipping a principle. ## 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** (if available, otherwise run inline sequentially): - `audit-google`: Conversion tracking, wasted spend, structure, keywords, ads, settings (80 checks; G01-G61 + 19 hyphenated v1.5+ IDs incl. AI Max) - `audit-meta`: Pixel/CAPI health, creative fatigue, structure, audience (50 checks; M01-M40 + 10 hyphenated v1.5+ IDs incl. Andromeda) - `audit-creative`: LinkedIn, TikTok, Microsoft creative checks + cross-platform synthesis - `audit-tracking`: LinkedIn, TikTok, Microsoft tracking + cross-platform tracking health - `audit-budget`: LinkedIn, TikTok, Microsoft budget/bidding + cross-platform allocation - `audit-compliance`: All-platform compliance, settings, performance benchmarks 6. **Validate**: verify each subagent returned valid scores with required fields before aggregating 7. **Score**: calculate per-platform and aggregate Ads Health Score (0-100) 8. **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 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 ```