meta-ads-audiences

Create and manage Meta Ads custom and lookalike audiences via the Marketing API.

17|5|Updated Jun 25, 2026

Search Tags:#marketing #meta #audiences #retargeting #lookalike #custom audience

Ready to run

npx skills add https://github.com/portermetricsample/marketing-skills --skill meta-ads-audiences-portermetricsample

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: meta-ads-audiences
Source: https://github.com/portermetricsample/marketing-skills/tree/main/meta-ads/campaigns/audiences
Command: npx skills add https://github.com/portermetricsample/marketing-skills --skill meta-ads-audiences-portermetricsample

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill automates the complex, multi-step process of creating, uploading, and managing Meta custom audiences and lookalikes, ensuring your targeting data is always accurate and compliant.

Core Features & Use Cases

Custom Audience Management: Create, update, and delete custom audiences using hashed customer data for secure retargeting.
Lookalike Scaling: Generate lookalike audiences based on your best-performing customer seeds to expand your reach.
Use Case: Upload a hashed list of your high-value customers to create a custom audience, then generate a 1% lookalike audience to find new prospects with similar characteristics on Meta.

Quick Start

Use the meta-ads-audiences skill to create a new custom audience named High Value Customers and upload the provided CSV file of hashed user data.

Frequently Asked Questions about meta-ads-audiences

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate creating custom and lookalike audiences for Meta Ads?▼

Automating custom and lookalike audience creation for Meta Ads involves using an API integration to upload hashed customer data and generate audience seeds. This skill handles the automated creation, data uploading, and status polling across connected ad accounts.

Do I need hashed customer data to create retargeting audiences on Meta?▼

Yes, you need hashed customer data to create retargeting audiences on Meta. This skill requires a valid Porter Metrics MCP integration to handle secure data hashing and API communication with Meta's Marketing API for safe customer list ingestion.

What's the best way to scale prospecting campaigns with lookalike audiences?▼

The best way to scale prospecting with lookalike audiences is uploading a list of your high-value customers as a seed. This skill generates lookalike audiences from your best-performing customer data to find new prospects with similar characteristics.

Can I manage multiple Meta ad accounts when uploading custom audiences?▼

Yes, you can manage multiple Meta ad accounts. This skill supports customer list ingestion and lookalike generation across all your Meta-connected ad accounts through centralized API communication and automated status polling.

How does the Meta Marketing API handle secure data during audience creation?▼

The Meta Marketing API handles secure data by requiring customer information to be hashed before uploading. This skill uses a Porter Metrics MCP integration to manage secure data hashing, ensuring your custom audience targeting data remains compliant.

Why are my custom audiences not populating after uploading customer lists?▼

Custom audiences may not populate immediately due to API processing times. This skill manages status polling to monitor the ingestion progress, ensuring your uploaded hashed customer data is accurately processed and ready for retargeting.