# Ads Meta

> Meta Ads deep analysis covering Facebook and Instagram advertising. Evaluates 46 checks across Pixel/CAPI health, creative diversity and fatigue, account structure, and audience targeting. Includes Advantage+ assessment. Use when user says Meta Ads, Facebook Ads, Instagram Ads, Advantage+, or Meta campaign.

- **Type:** Skill
- **Install:** `agentstack add skill-citedy-adclaw-ads-meta`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [citedy](https://agentstack.voostack.com/s/citedy)
- **Installs:** 0
- **Category:** [Cloud & Infrastructure](https://agentstack.voostack.com/c/cloud-infrastructure)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [citedy](https://github.com/citedy)
- **Source:** https://github.com/citedy/adclaw/tree/main/src/adclaw/agents/skills/ads-meta
- **Website:** https://pypi.org/project/adclaw/

## Install

```sh
agentstack add skill-citedy-adclaw-ads-meta
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Meta Ads Deep Analysis

## Process

1. Collect Meta Ads data (Ads Manager export, Events Manager screenshot, EMQ scores)
2. Read `ads-shared/references/meta-audit.md` for full 46-check audit
3. Read `ads-shared/references/benchmarks.md` for Meta-specific benchmarks
4. Read `ads-shared/references/scoring-system.md` for weighted scoring
5. Evaluate all applicable checks as PASS, WARNING, or FAIL
6. Calculate Meta Ads Health Score (0-100)
7. Generate findings report with action plan

## What to Analyze

### Pixel / CAPI Health (30% weight)
- Meta Pixel installed and firing on all pages
- Conversions API (CAPI) active (30-40% data loss without it post-iOS 14.5)
- Event deduplication configured (event_id matching, ≥90% dedup rate)
- Event Match Quality (EMQ) ≥8.0 for Purchase event
- All standard events configured (ViewContent, AddToCart, Purchase, Lead)
- Custom conversions created for non-standard events
- Aggregated Event Measurement (AEM) configured for iOS
- Domain verification completed
- Server-side events include customer_information parameters
- Pixel fires with correct currency and value parameters

### Creative (30% weight)
- ≥3 creative formats active (image, video, carousel, collection)
- ≥5 creatives per ad set (Meta recommendation)
- Creative fatigue detection: CTR drop >20% over 14 days = FAIL
- Video creative: 15s max for Stories/Reels, 30s max for Feed
- UGC/testimonial creative tested
- Dynamic Creative Optimization (DCO) tested
- Ad copy: headline under 40 chars, primary text under 125 chars
- Creative refresh cadence: every 2-4 weeks for high-spend

### Account Structure (20% weight)
- Campaign Budget Optimization (CBO) vs Ad Set Budget (ABO) intentional
- Campaign consolidation: ≤5 active campaigns per objective type
- Learning phase health: 50%)
- Budget per ad set: ≥5x target CPA (minimum for learning phase exit)
- Ad set audience overlap 5)
- Retargeting frequency (7-day): 12)
- Custom Audiences: website visitors, customer lists, engagement
- Lookalike Audiences: multiple seed sizes tested (1%, 3%, 5%)
- Advantage+ Audience tested vs manual targeting
- Interest targeting: broad enough for algorithm optimization
- Exclusions: purchasers excluded from prospecting, overlap managed
- Location targeting reviewed for relevance

## Advantage+ Assessment

If Advantage+ features are in use:
- **ASC (Shopping Campaigns)**: catalog connected, existing customer cap set
- **Advantage+ Audience**: performance vs manual audience compared
- **Advantage+ Creative**: enhancements enabled (text, brightness, music)
- **Advantage+ Placements**: enabled (let Meta optimize placement mix)
- **Budget allocation**: Advantage+ campaigns getting fair test budget

## Special Ad Categories

If ads are in restricted categories:
- Special Ad Category declared before campaign creation
- Targeting restrictions verified (no ZIP, age 18-65+ only, no Lookalike)
- Creative compliance with category-specific policies
- Read `ads-shared/references/compliance.md` for full requirements

## EMQ Optimization Guide

| EMQ Score | Status | Action |
|-----------|--------|--------|
| 8.0-10.0 | Excellent | Maintain current setup |
| 6.0-7.9 | Good | Add more customer_information parameters |
| 4.0-5.9 | Fair | Implement CAPI, improve data quality |
| 50% |
| Budget per ad set | ≥5x CPA | 2-5x CPA | 20%)
- Quick Wins sorted by impact
- Advantage+ adoption recommendations

## Source & license

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

- **Author:** [citedy](https://github.com/citedy)
- **Source:** [citedy/adclaw](https://github.com/citedy/adclaw)
- **License:** Apache-2.0
- **Homepage:** https://pypi.org/project/adclaw/

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

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-citedy-adclaw-ads-meta
- Seller: https://agentstack.voostack.com/s/citedy
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.