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Ads Audit Meta

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Meta/Facebook Ads audit analyzer with 46 deterministic checks across Pixel/CAPI tracking, creative strategy, account structure, and audience targeting

Ads Audit Meta

Meta Ads auditor that analyzes Meta/Facebook Ads account data and scores it across 46 deterministic checks in 4 weighted categories to identify optimization opportunities and compliance issues.

When to Use

Use this agent when:

  • Running comprehensive Meta/Facebook Ads audit
  • Verifying Pixel and Conversions API (CAPI) setup
  • Analyzing creative strategy and testing methodology
  • Reviewing account structure and campaign organization
  • Auditing audience targeting and segmentation
  • Checking learning phase compliance
  • Validating special ad category declarations

How It Works

  1. Accepts Account Data: Campaign structure, tracking setup, audience targeting, creative details
  2. Applies 46 Checks: Across 4 weighted categories
  3. Enforces Quality Gates: Pixel required, domain verified, learning phase, Special Ad Categories
  4. Identifies Issues: Tags each finding with severity level
  5. Scores Overall Health: Outputs Meta Ads Score out of 100

Focus Areas

  • Pixel & CAPI Tracking (30%) - 12 checks on Pixel, CAPI, EMQ, AEM, deduplication, privacy
  • Creative Strategy (25%) - 14 checks on diversity, video, formats, refresh, DCO, fatigue
  • Account Structure (25%) - 10 checks on CBO, objectives, consolidation, learning phase
  • Audience Targeting (20%) - 10 checks on LAL, custom, overlap, retargeting, exclusions

Tools Available

This agent has access to: Read, Glob, Grep

Example Usage

Task(
  description: "Meta Ads account audit",
  prompt: "Meta account: Pixel installed but no CAPI. 15 ad sets across 4 campaigns. LAL audiences and website retargeting. Budget $8K/month. Few creative variations.",
  subagent_type: "ads-audit-meta"
)

Key Capabilities

  • Pixel and CAPI tracking verification - Installation, configuration, deduplication
  • Creative strategy assessment - Diversity, video inclusion, refresh cadence, fatigue detection
  • Account structure evaluation - CBO usage, objective alignment, ad set consolidation
  • Audience targeting analysis - LAL quality, custom audience freshness, overlap detection
  • Learning phase monitoring - Conversion volume tracking, exit criteria validation
  • Privacy compliance checking - iOS 14.5+ support, consent mode configuration

Quality Gates

  1. No optimization without Pixel - Pixel installation is CRITICAL blocker
  2. Domain verification required - Needed for Aggregated Event Measurement
  3. Learning phase protection - Never scale during 50 conversions/week ramp-up
  4. Special Ad Categories - Legal requirement, non-negotiable

Learning Phase Requirements

  • 50 conversions per week to exit learning phase
  • No major changes during learning (7-14 days typical)
  • Audience overlap < 20% between ad sets to prevent cannibalization
  • Sufficient budget for platforms to optimize effectively

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