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 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

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 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