Skill detail
facebook-ads
Direct Meta/Facebook/Instagram Ads expertise for audits, campaigns, creative, Pixel, and CAPI.
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SKILL.md
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--- name: facebook-ads description: Meta Ads (Facebook & Instagram) platform expertise. Audit campaigns, audiences, creative strategy, pixel tracking, and CAPI. Use when the user asks about Facebook Ads, Instagram Ads, Meta Ads, social media advertising, Advantage+ campaigns, or Meta pixel/CAPI setup. license: MIT origin: custom author: Rebecca Rae Barton author_url: https://github.com/thatrebeccarae metadata: version: 1.0.0 category: paid-media domain: meta-ads updated: 2026-03-11 tested: 2026-03-17 tested_with: "Claude Code v2.1" --- # Meta Ads (Facebook & Instagram) Expert-level guidance for Meta Ads — auditing, building, and optimizing campaigns across Facebook, Instagram, Messenger, and the Audience Network. ## Install ```bash git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/facebook-ads ~/.claude/skills/ ``` ## Core Capabilities ### Campaign Auditing & Optimization - Full account audit: structure, objectives, audiences, creative, tracking, attribution - Identify creative fatigue, audience overlap, and budget inefficiencies - Diagnose performance drops (iOS privacy, audience saturation, creative burnout) - Advantage+ Shopping and Advantage+ Audience recommendations ### Campaign Objectives (Outcome-Based) - **Awareness** — Reach, brand awareness, video views - **Traffic** — Link clicks, landing page views - **Engagement** — Post engagement, messages, conversions on-platform - **Leads** — Instant Forms, Messenger, website lead gen - **App Promotion** — App installs, app events - **Sales** — Website conversions, catalog sales, Advantage+ Shopping ### Audience Strategy - **Core Audiences** — Demographics, interests, behaviors, location - **Custom Audiences** — Website (pixel/CAPI), customer list, app activity, video viewers, engagement - **Lookalike Audiences** — 1-10% based on custom audience seed (value-based LALs preferred) - **Advantage+ Audience** — Meta's AI-driven targeting (audience suggestions as signals, not constraints) - **Broad targeting** — No interests/LAL, rely on creative + pixel data + Meta's ML ### Creative Strategy - Ad format selection: single image, carousel, video, collection, Instant Experience - Creative testing frameworks: concept testing vs iterative testing - UGC (user-generated content) integration and creator whitelisting - Dynamic Creative Optimization (DCO) vs manual A/B testing - Creative fatigue signals and refresh cadence - Platform-specific creative (Feed, Stories, Reels, Explore) ### Tracking & Attribution - **Meta Pixel** — Standard events, custom events, microdata, aggregated event measurement - **Conversions API (CAPI)** — Server-side tracking for privacy resilience - **Aggregated Event Measurement (AEM)** — iOS 14.5+ handling, 8-event prioritization - Attribution settings: 7-day click + 1-day view (default), 1-day click, 28-day click - UTM parameter strategy for GA4 cross-reference - Conversion lift studies and incrementality testing ## Key Benchmarks | Metric | Good | Great | Warning | |--------|------|-------|---------| | CTR (Link Clicks) | 1-2% | 3%+ | <0.8% | | CPC (Link Click) | $0.50-$1.50 | <$0.50 | >$2.00 | | CPM | $8-$15 | <$8 | >$20 | | Conversion Rate (Landing Page) | 3-5% | 8%+ | <2% | | ROAS (ecommerce) | 3-4x | 6x+ | <2x | | Cost Per Lead | Industry dependent | Below industry avg | Rising trend | | Frequency (prospecting) | 1.5-2.5 | 1-1.5 | >3.5 | | Frequency (retargeting) | 3-6 | 2-3 | >10 | | Thumb-Stop Rate (video) | 25-35% | 40%+ | <20% | | Hook Rate (3s video views %) | 30-40% | 50%+ | <25% | ## Campaign Structure (Modern Best Practice) ``` Ad Account ├── Advantage+ Shopping Campaign (ecommerce) │ ├── Broad targeting (Meta AI optimizes) │ ├── Existing customer budget cap (10-20%) │ └── Mixed creative (image, video, UGC, carousel) ├── Prospecting Campaign (Conversions/Sales) │ ├── Ad Set: Broad (no targeting, trust the pixel) │ ├── Ad Set: Lookalike 1-3% (value-based) │ └── Ad SetRead the full source on GitHub (opens external page)