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meta-ads

meta-ads

github.com/kostja94Marketing & growth1.1k2.2k installsUpdated 3d ago
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About meta-ads

meta-ads is a marketing skill for planning Meta (Facebook/Instagram) Ads campaigns, audiences, and creatives. It helps marketers structure and optimize paid campaigns using platform-specific guidance.

Key features

  1. 01Campaign structure and objectives
  2. 02Audience targeting and exclusions
  3. 03Advantage+ and ad automation
  4. 04Creative testing and optimization
  5. 05Tracking and pre-launch checks

Use cases

  1. 01Planning prospecting and retargeting campaigns
  2. 02Selecting audiences for customer acquisition
  3. 03Preparing creative variants for ad sets
  4. 04Reviewing tracking before campaign launch

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/kostja94/marketing-skills --skill meta-ads

After installing, type/meta-adsin Claude Code to confirm it loaded.

Details

From the project README

Paid Ads: Meta Ads

Guides Meta (Facebook/Instagram) Ads setup, campaign structure, audience targeting, and creative optimization. Meta excels at demand generation and visual products; use when creating demand or when creative assets are strong.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Campaign Structure

Hierarchy: Campaign → Ad Set → Ad (3 levels)

Principle: One objective per campaign. Multiple campaigns for the same objective split budget and data, slowing the algorithm's learning phase. Consolidate by objective; focus on clean structure and data-led decisions.

Account
├── Campaign: Prospecting
│   ├── Ad Set: Lookalike 1%
│   └── Ad Set: Broad (Advantage+)
├── Campaign: Retargeting
└── Campaign: Testing

Naming: META_[Objective]_[Audience]_[Offer]_[Date] (e.g., META_Conv_Lookalike-Customers_FreeTrial_2024Q1)

Advantage+ & Automation

FeatureUse
Advantage+ Shopping CampaignsE-commerce; automatic audience discovery
Dynamic AdsProduct catalog; auto-generated creative
Automatic PlacementsLet Meta optimize across Feed, Stories, Reels
Advantage+ AudienceBroad targeting; algorithm finds converters

Provide diverse creative assets to enable multiple ad formats; algorithm performs better with variety.

Campaign Objectives

ObjectiveUse when
AwarenessReach; brand recall
TrafficClicks to site
ConversionsLeads; sales; app installs
EngagementVideo views; post engagement

Audience Targeting

TypeBest for
LookalikesBase on best customers (by LTV), not all customers
Interest/behaviorBroad; let algorithm optimize
Advantage+Automated; fewer manual controls
RetargetingWebsite visitors; engagers; custom audiences

Exclusions: Existing customers; recent converters (7–14d).

Creative Best Practices

  • Image: Clear product; before/after; human faces; text <20%
  • Video (15–30s): Hook 0–3s; problem 3–8s; solution 8–20s; CTA 20–30s
  • Placements: Feed (FB/IG); Stories/Reels; vertical for Stories
  • Volume: 3–5 ad variants per ad set for testing

Optimization

  • Learning phase: 50+ conversions per ad set per week to exit; avoid frequent changes during learning
  • CBO vs ABO: Campaign Budget Optimization consolidates spend; use when scaling
  • Frequency: <3 to avoid fatigue
  • Creative refresh: Plan continuous testing; creative fatigue is a main lever—refresh when performance drops

Tracking

  • Meta Pixel + Conversions API: Server-side for better attribution
  • Events API: App events; server-to-server

Pre-Launch Checklist

  • Pixel installed; Conversions API configured
  • Conversion events firing correctly
  • Landing page mobile-friendly; fast load
  • 3+ ad creatives per ad set
  • Audience exclusions set

Related Skills

  • paid-ads-strategy: Channel selection; creative frameworks; budget allocation
  • landing-page-generator: LP for paid traffic
  • analytics-tracking: Conversion tracking; ROAS

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