Meta Ads targeting has become increasingly automated. Instead of relying entirely on manually selected interests and detailed targeting, advertisers can use Meta's AI-powered systems alongside first-party data and external audience research.
Here are some useful tools for 2026.
1. Meta Advantage+ Audience
Meta Advantage+ uses Meta's machine-learning systems to help find people who are more likely to take the desired action based on the campaign objective and available signals.
Advertisers can provide audience suggestions and controls while allowing Meta's system to explore beyond those initial inputs when appropriate.
Best for: eCommerce, lead generation, and advertisers comfortable with broader, automated audience discovery.
2. SparkToro
SparkToro is an audience research platform rather than a Meta Ads targeting tool. It helps marketers discover where specific audiences spend their attention, including websites, social accounts, podcasts, YouTube channels, keywords, brands, and AI tools.
In 2026, SparkToro also allows users to describe an audience in natural language and research its demographics and behaviors.
Best for: Building customer personas and discovering interests, channels, and messaging opportunities before launching campaigns.
3. Madgicx Audience Studio
Madgicx Audience Studio analyzes audience performance and can help identify profitable interests and new targeting opportunities. It also provides tools for combining interests, custom audiences, and lookalike audiences.
Best for: Meta advertisers who want audience research connected directly to campaign execution.
4. ChatGPT
ChatGPT can help turn customer research into practical buyer personas, audience hypotheses, pain points, objections, messaging angles, and creative ideas.
It should be used as a research and planning assistant, not as a replacement for actual campaign data.
Best for: Persona development, audience brainstorming, messaging, and campaign planning.
Why Broad + AI Targeting Matters
Broad targeting can give Meta's delivery system more room to find potential converters. However, broad targeting does not automatically outperform manual targeting in every campaign.
The strongest approach is to combine broad or automated targeting with:
- High-quality first-party conversion data
- Strong creative and offers
- Accurate tracking
- Clear campaign objectives
- Continuous creative testing
- Audience research to guide messaging
External research tools can tell you who your audience is and where they spend attention, while Meta's own systems use campaign signals to determine who to deliver ads to.
Read More : 10 Best AI Tools for Meta Ads & Facebook Advertising in 2026
A Simple AI Audience Research Workflow
Start by using ChatGPT to create initial customer personas. Then use SparkToro to validate where those audiences spend their time and what they follow or search for.
Next, use Meta Advantage+ Audience or another appropriate Meta targeting setup to test your hypotheses with real campaign data. If you're managing larger accounts, Madgicx can provide additional audience-performance insights.
The goal isn't to find a “perfect” audience before spending money. It's to create strong hypotheses and let real conversion data improve your targeting decisions.
