Ads Audit System

Purpose: Audit and optimize existing ad campaigns across all major platforms.

This skill focuses exclusively on performance analysis and optimization recommendations - not campaign planning or strategy (use /marketing-campaign for that).

Marketing OS Workflow Position

brand-voice → content-brief → content-planning → content-creation
                                          ↓
                                        marketing-campaign
                                          ↓
                                          ads-audit

This skill is LAST - Audit and optimize existing campaigns after they've been planned and launched.

Input from:

/marketing-campaign - Campaign structure, KPIs, and benchmarks to compare against
/content-creation - Creative quality reference for ad audit

Output for:

Optimization recommendations (loop back to campaign planning or content creation)

Command Reference

Command	Description
`/ads audit`	Full multi-platform audit with parallel subagent delegation
`/ads google`	Google Ads deep analysis (Search, PMax, Display, YouTube, Demand Gen)
`/ads meta`	Meta Ads deep analysis (FB, IG, Advantage+ Shopping)
`/ads youtube`	YouTube Ads specific analysis (Skippable, Shorts, Demand Gen)
`/ads linkedin`	LinkedIn Ads deep analysis (B2B, Lead Gen, TLA)
`/ads tiktok`	TikTok Ads deep analysis (Creative, Shop, Smart+)
`/ads microsoft`	Microsoft/Bing Ads deep analysis (Copilot, Import validation)
`/ads creative`	Cross-platform creative quality audit and fatigue detection
`/ads landing`	Landing page quality assessment for ad campaigns
`/ads budget`	Budget allocation and bidding strategy review

Universal Audit Workflow

All commands follow this core structure. See rules/workflow.md for detailed step-by-step procedure.

1. Data Collection

Campaign structure and objectives
Key metrics (spend, impressions, CTR, CPC, CPA, ROAS)
Targeting parameters
Creative inventory
Time period analyzed

2. Performance Analysis

Compare against platform benchmarks (see references/benchmarks.md):

CTR vs. channel average
CPA vs. target
ROAS vs. goal
Frequency vs. fatigue threshold

3. Issue Identification

Systematic diagnosis across:

Creative (fatigue, format, quality)
Targeting (audience, exclusions, overlap)
Budget/Bidding (strategy, caps, pacing)
Technical (tracking, landing pages)

For detailed diagnosis process: See rules/diagnosis.md

4. Recommendations

Prioritized action plan with:

For priority framework: See rules/priority.md

Quick wins (immediate actions)
A/B test ideas (see references/testing.md)
Long-term improvements

5. Output Format

# [Platform] Ads Audit Report

## Executive Summary
- Overall Score: X/10
- Key Finding: [Top insight]
- Quick Impact: [Estimated improvement potential]

## Performance vs Benchmarks
| Metric | Actual | Benchmark | Gap |
|--------|--------|-----------|-----|
| CTR | X% | X% | X% |

## Issues Found (Priority Order)
### 🔴 Critical
1. [Issue] - Impact: High - Action: [Immediate step]

### 🟡 Moderate
1. [Issue] - Impact: Medium - Action: [Plan fix]

## Action Items
- [ ] [Action 1] - This week
- [ ] [Action 2] - This week
- [ ] [Test idea] - Next sprint

Platform-Specific Commands

`/ads google`

Analyze: Search, Performance Max, Display, YouTube, Demand Gen

Key Metrics:

Quality Score (search)
Impression Share
Search Terms (negative opportunities)
Asset performance (PMax)
View rate (YouTube)

Google-Specific Resources: references/google.md

`/ads meta`

Analyze: Facebook, Instagram, Messenger, Advantage+ Shopping

Key Metrics:

Relevance Score / Quality Ranking
Delivery Category
Frequency
CTR per placement
Pixel vs CAPI comparison

Meta-Specific Resources: references/meta.md

`/ads youtube`

Analyze: Skippable in-stream, Non-skippable, Bumpers, Shorts, Discovery

Key Metrics:

View rate (25%, 50%, 75%, 100%)
CPV efficiency
Audio/creative variations
Audience retention graphs

YouTube-Specific Resources: references/youtube.md

`/ads linkedin`

Analyze: Sponsored content, Message ads, Lead gen forms, Text ads

Key Metrics:

Engagement rate
Cost per send (message ads)
Lead form completion rate
Job title/industry performance

LinkedIn-Specific Resources: references/linkedin.md

`/ads tiktok`

Analyze: In-feed ads, Spark ads, TopView, Brand takeover

Key Metrics:

Video completion rate
2s/6s VTR
TikTok pixel events
Creative diversity score

TikTok-Specific Resources: references/tiktok.md

`/ads microsoft`

Analyze: Search ads, Audience ads, Shopping, Import from Google

Key Metrics:

Quality Score
Import match rate
Audience expansion performance
Copilot bid suggestions

Microsoft-Specific Resources: references/microsoft.md

`/ads creative`

Cross-platform creative audit covering:

Visual quality and format compliance
Copy effectiveness (hook, CTA, clarity)
Ad fatigue indicators
A/B test coverage
Creative diversity score

Creative Framework: references/creative.md

`/ads landing`

Landing page audit covering:

Load time and Core Web Vitals
Mobile optimization
CTA clarity and placement
Form optimization
Trust signals and social proof
Technical SEO basics

Landing Page Framework: references/landing.md

`/ads budget`

Budget and bidding audit covering:

Budget allocation efficiency
Bid strategy appropriateness
Learning phase completion
Dayparting opportunities
Seasonal pacing
Cross-channel budget balance

Budget Framework: references/budget.md

Resources

references/benchmarks.md - Industry KPI benchmarks by platform
references/testing.md - A/B testing frameworks
references/checklist.md - Complete audit checklist
references/google.md - Google Ads specific guide
references/meta.md - Meta Ads specific guide
references/youtube.md - YouTube Ads specific guide
references/linkedin.md - LinkedIn Ads specific guide
references/tiktok.md - TikTok Ads specific guide
references/microsoft.md - Microsoft Ads specific guide
references/creative.md - Creative audit framework
references/landing.md - Landing page audit framework
references/budget.md - Budget & bidding framework

Integration with Marketing OS Workflow

Input from:

/marketing-campaign - Campaign structure, KPIs, and benchmarks to compare against
/content-creation - Creative quality reference for ad audit

Output for:

Optimization recommendations (loop back to campaign planning or content creation)
Performance insights that inform future briefs

When to Use:

After campaigns have been running for 1-2 weeks
When performance is below expectations
As part of ongoing optimization (weekly/bi-weekly)
Before scaling budget

Note: This skill can be used independently - you don't need to go through the full workflow to audit ads. Just provide campaign data and metrics.