Meta Ads (Facebook and Instagram) offer a staggering array of targeting options—demographics, interests, behaviors, and more—to help advertisers reach the right audience. But with so many choices, it’s not always clear how Meta decides who fits each segment, or which tactics work best for ad performance.
In this guide, you’ll learn how Meta builds audience segments, how to use each type of targeting, and best practices for maximizing campaign ROI. We’ll also cover how creative choices impact results and, finally, how AI tools like Samson-AI are changing the game for small businesses and agencies alike.
Detailed Targeting Audience Options
Age & Gender Targeting
Demographic Targeting
Interest Targeting
Behavior Targeting
Lookalike Audiences
Meta Advantage+ Targeting
Choosing the Right Approach
Why Creative Matters
When & Why to Try AI-Powered Targeting
Meta’s detailed targeting options allow you to refine your audience beyond basic reach, making it possible to speak directly to people most likely to engage with your offer. You can build audiences by combining:
Age and Gender
Demographics
Interests
Behaviors
But how does Meta decide who fits where? According to Meta’s official targeting help, data is sourced from user profiles, app activity, page engagement, and more—so some information is self-reported, and some is inferred.
These are the foundational filters for every campaign, letting you specify users’ ages (down to a single year) and gender. Since users provide this data themselves, it’s generally reliable, though not always perfectly accurate.
For a full walkthrough, see Meta’s age & gender targeting guide.
Go beyond age and gender by targeting people based on life events, education, parental status, job titles, relationship status, and more. Some of this data comes directly from profile updates, while the rest is inferred by Meta from activity.
Example: Targeting recent homebuyers for a renovation ad, or university grads for career services.
See this in-depth explainer on demographic targeting for more ideas.
Interests are built from users’ likes, comments, followed pages, event responses, and other behaviors. You can target topics as broad as “fitness” or as narrow as “organic skincare,” and you’ll find a dizzying array of subcategories.
Tip: Don’t just browse—type your ideal customer’s interests into Ads Manager and discover hidden segments.
For advanced strategies, read HubSpot’s guide to Facebook interest targeting.
Behavioral audiences are defined by actions: past purchases, device usage, travel patterns, business activity, and more. Meta builds these segments using both on-platform and off-platform signals.
Example: Reach people who recently made an online purchase, or those who use mobile devices to shop.
This section is diverse—explore it in Ads Manager and don’t hesitate to experiment.
For a deep dive, check out AdEspresso’s behavior targeting breakdown.
Lookalike audiences have long been a go-to strategy for scaling campaigns. You give Meta a source audience (such as your best customers or most engaged followers), and Meta finds people similar to them based on interests and behaviors.
You can choose how closely the new audience should resemble your source (from 1%—very close—to 10%—broader but less similar).
The quality of your source audience makes or breaks lookalike performance.
For step-by-step instructions, see Meta’s lookalike audiences documentation.
Meta’s Advantage+ (formerly “broad targeting”) is an automated, AI-driven option. Here, you can provide suggestions, but Meta’s algorithm will actively search for the best-performing audiences based on conversion history, pixel data, and platform-wide insights.
Advantage+ is especially useful for those with large budgets or for brands ready to let machine learning do the heavy lifting.
For more, review Meta’s Advantage+ audience overview.
There’s no single “best” option—it depends on your budget, audience size, and campaign goals. The best marketers often mix and match: tightly control some ad sets, and let Meta’s AI run broad targeting tests in others.
Not sure where to start? Here’s a handy decision guide for Facebook ad targeting.
Nailing your targeting is only half the battle—the ad creative (image/video, headline, and copy) is what actually drives clicks and conversions. According to this creative best practices roundup, strong visuals, clear CTAs, and relevance to your audience are essential.
Use clear, bold visuals that stop the scroll
Match your creative to your targeting segment (example: different messaging for new parents vs. students)
A/B test variants to see what resonates most
For creative inspiration, check out Jon Loomer’s in-depth creative guide.
Now, most advertisers are still managing targeting and creative manually—but the landscape is shifting fast. AI-driven platforms like Samson-AI use real-time feedback and data analysis to automatically test, optimize, and scale Meta campaigns—so you spend less time tweaking settings and more time growing your business.
Case in Point:
See how Eden Cabinets tripled their Meta ad performance with Samson-AI, unlocking a 3x increase in click-through rate and slashing their cost per result. AI found high-performing segments and creative pairings that manual setup missed.
If you’re tired of the guesswork, or your campaigns are stalling, now’s the time to test what automation can do for you.
Meta’s targeting options are more powerful (and complex) than ever. Whether you’re a hands-on optimizer or ready to hand the wheel to AI, success comes down to understanding your audience, testing creative, and using data to refine every step.
For more in-depth strategies:
Ready to see what’s possible? Try Samson-AI free and watch your ads reach the right audience—on autopilot.
Want more actionable guides? Subscribe to the Samson-AI blog for upcoming deep dives on Facebook Ad Creative Testing, Behavioral Targeting Tactics, and more!