How does this skill find interests for Facebook Ads?

It uses specialized MCP calls to search for keyword-specific interests and generates related suggestions based on existing lists to expand your reach.

Can I create Lookalike audiences directly through the skill?

Yes, the skill can identify high-quality seed audiences from your account and create Lookalikes with custom ratios (1% to 10%) for different campaign goals.

Does it support local business targeting?

Absolutely, you can target by country, region, city, or specific market areas (DMA) with radius control for hyper-local campaigns.

How do I know if my audience size is correct?

The skill includes an audience estimation tool that provides real-time size benchmarks and recommendations to ensure your targeting is optimal for your budget.

Targeting Expert

Name: Targeting Expert
Author: dengineproblem

bydengineproblem

Automatización de Marketing

Automates Facebook and Instagram ad targeting by identifying interests, building Lookalike audiences, and optimizing demographic parameters.

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Targeting Expert is a specialized Claude Code skill designed to streamline the complex process of setting up Facebook and Instagram advertising campaigns. It provides deep integration with advertising APIs to search for relevant interests, generate high-quality Lookalike audiences based on custom seeds, and refine geographic and demographic targeting. By leveraging data-driven insights and predefined audience size benchmarks, it helps marketers and developers create highly effective, scalable ad sets while avoiding common pitfalls like over-narrowing or overly broad targeting.

Características Principales

Advanced interest discovery and suggestion engine
Lookalike audience creation with optimized ratio selection
Granular geographic targeting including city, region, and radius control
Detailed demographic filtering by age, gender, education, and life events
Real-time audience size estimation and quality scoring
0 GitHub stars

Casos de Uso

Generating niche interest lists for new product launches
Scaling successful campaigns using multi-tier Lookalike audiences
Auditing existing ad sets to improve audience quality and reach

Acerca de

Características Principales

Advanced interest discovery and suggestion engine
Lookalike audience creation with optimized ratio selection
Granular geographic targeting including city, region, and radius control
Detailed demographic filtering by age, gender, education, and life events
Real-time audience size estimation and quality scoring
0 GitHub stars

Casos de Uso

Generating niche interest lists for new product launches
Scaling successful campaigns using multi-tier Lookalike audiences
Auditing existing ad sets to improve audience quality and reach