Ads Audit

Full Multi-Platform Ads Audit

Process

1. Collect account data — request exports, screenshots, or API access
2. Detect business type — analyze account signals per ads orchestrator
3. Identify active platforms — determine which platforms are in use
4. 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 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

1. Score — calculate per-platform and aggregate Ads Health Score (0-100)
2. 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 ( 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 estimatedfixtime < 15 minutes THEN flag as Quick Win SORT BY (severitymultiplier x estimatedimpact) DESC

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [naveedharri](https://github.com/naveedharri)
- **Source:** [naveedharri/benai-skills](https://github.com/naveedharri/benai-skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.