deepline-ads-audiences

Automates creation, enrichment, and upload of paid ads audiences to Google, Meta, and LinkedIn.

1|3|Updated May 2, 2026
One-click install
npx skills add https://github.com/getaero-io/deepline-plugins --skill deepline-ads-audiences
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deepline-ads-audiences
Source: https://github.com/getaero-io/deepline-plugins/tree/main/deepline/skills/deepline-ads-audiences
Command: npx skills add https://github.com/getaero-io/deepline-plugins --skill deepline-ads-audiences

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires google-ads-audiences, meta_audiences, linkedin_ads_audiences, aviato, limadata, crustdata, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies the process of creating and enriching B2B paid ads audiences for Google Customer Match, Meta/Facebook Custom Audiences, and LinkedIn Matched Audiences, allowing you to build high-quality ABM paid ads audiences from first-party customer or prospect lists efficiently.

Core Features & Use Cases

  • Audience Building: Automate the process of building paid ads audiences from customer and prospect lists.
  • Audience Enrichment: Enhance your audience data with personal identifiers to improve ad targeting.
  • Audience Validation: Validate audience data to ensure accuracy before uploading.
  • Audience Upload: Upload enriched audiences to Google, Meta, and LinkedIn platforms.
  • Use Case: Suppose you have a CRM database with customer information. Use this Skill to create a targeted ad audience on Google and Meta based on that data.

Quick Start

Run the command '/deepline-ads-audience' to initiate the audience creation and enrichment process.

Frequently Asked Questions about deepline-ads-audiences

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

FAQPage Schema
How do I automate B2B paid ads audience building for Google, Meta, and LinkedIn?

Automating B2B paid ads audience building involves using scripts to process first-party CRM lists, enriching them with personal identifiers, and uploading them directly to Google Customer Match, Meta Custom Audiences, and LinkedIn Matched Audiences.

Can I enrich CRM prospect lists with personal identifiers before uploading to ad platforms?

Yes, you can enrich CRM prospect lists with personal identifiers to validate and enhance ad targeting accuracy before uploading the audience data to Google, Meta, or LinkedIn.

What's the best way to upload customer match audiences to Google and Meta from a CRM database?

The best way to upload customer match audiences from a CRM database is to automate the validation and enrichment of customer data, then directly push the formatted lists to Google and Meta APIs.

Do I need API integrations to create LinkedIn Matched Audiences automatically?

Yes, creating LinkedIn Matched Audiences automatically requires direct integration with the LinkedIn API to upload and manage the enriched B2B prospect data.

Does this approach support B2B account-based marketing (ABM) paid advertising campaigns?

Yes, this approach supports B2B ABM paid advertising by building high-quality targeted audiences from first-party customer and prospect lists for Google, Meta, and LinkedIn campaigns.

What are the limitations of enriching audience data for paid ads targeting?

Limitations include relying on the accuracy of first-party CRM data for enrichment and requiring active API integrations with Google Ads, Meta, and LinkedIn to successfully validate and upload audiences.