TL;DR
Interest targeting isn't dead, it's demoted. Broad targeting with Advantage+ audience wins in most scaled accounts because Meta's algorithm is better at finding buyers than your interest stacks are. But detailed targeting still earns its place: small budgets, genuinely niche audiences, strict exclusions, and controlled tests. The bigger shift is that creative has become the primary targeting mechanism. Your ad's hook decides who stops, which decides who converts, which teaches the algorithm who to find. Targeting settings are now the guardrails. Creative is the steering wheel.
Dead? No. Demoted? Absolutely.
Somewhere around 2023, "interest targeting is dead" became the industry's favorite personality trait. Gurus announced it the way people announce they've given up gluten: loudly, and as if you'd asked.
The honest version is less exciting. Interest targeting still exists. It still works in specific situations. It's just no longer the default answer, because the default changed. Meta's delivery system got dramatically better at finding converters inside broad audiences, and every year the advantage of hand-picking interests shrinks a little more. The people still running 40-interest stacks in 2026 aren't sophisticated. They're nostalgic.
But "broad always wins" is the mirror-image dogma, and it's equally lazy. Broad wins when the conditions favor it. When they don't, detailed targeting isn't dead, it's just waiting for you to stop ignoring it.
What actually changed
Two things, and they're related. First, Meta's models got better. With enough conversion signal, the algorithm finds buyers you would never have thought to target, including people with zero obvious interest-profile connection to your product. The machine sees behavioral patterns across billions of users. Your interest list sees what you had for breakfast.
Second, Advantage+ audience made expansion the default. Even when you set detailed targeting, Meta widens the net automatically unless you tell it not to. So the practical difference between "broad" and "detailed" has narrowed: detailed is now broad with suggestions, and the suggestions matter less than they used to.
The result: in accounts with real budgets and real conversion volume, broad targeting consistently finds cheaper conversions than hand-built interest stacks. Not because interests are useless, but because the algorithm's candidate pool is bigger and its pattern-matching is better than yours. Accept it. It's fine.
When broad wins
Broad is the default for a reason. Run broad when:
You have conversion volume. Dozens of conversions per week minimum. The algorithm needs examples of what a buyer looks like, and it needs a lot of them. Starve it and broad becomes expensive guessing.
Your product has wide appeal. Consumer products, ecommerce, anything where the buyer could plausibly be anyone. The broader the true market, the less sense it makes to pre-filter it.
You're scaling. Broad audiences don't exhaust the way narrow ones do. If your interest stack caps out at 800,000 people, you have a scaling ceiling built into your targeting. Broad removes the ceiling.
Your creative is doing the work. This is the big one, and we'll come back to it. When your hooks clearly signal who the product is for, the creative pre-qualifies the audience before the algorithm even gets involved.
When detailed still earns its place
Now the part the "broad always" crowd skips. Detailed targeting still wins when:
Budgets are small. Under ~$50 a day, you can't afford to let the algorithm explore. Every dollar spent learning is a dollar not converting. Tight, sensible interest targeting concentrates your spend where buyers are most likely to be, which is exactly what small budgets need.
The audience is genuinely niche. B2B software for dental practices. Equipment for left-handed golfers. When you can name your buyer and the pool is small, say so. Broad discovery in a niche market mostly discovers people who will never buy.
You need exclusions and guardrails. Detailed targeting isn't just about who to include. It's about control: excluding existing customers, layering in demographics, keeping prospecting and retargeting cleanly separated. Broad is optimistic. Sometimes optimism needs supervision.
You're testing creative, not audiences. Controlled test cells need controlled variables. If you want to know whether hook A beats hook B, hold the audience constant with defined targeting. Letting the algorithm shift audiences mid-test confounds everything.
Local and geo-constrained businesses. A plumber in Austin doesn't need Meta to discover buyers in Seattle. Geographic reality is a targeting input no algorithm should override.
Creative is the targeting now
Here's the shift most advertisers still haven't internalized: your creative decides your audience more than your targeting settings do.
Think about what actually happens. Your ad shows to someone. The hook either stops them or it doesn't. The people who stop share traits: interests, behaviors, intent signals. They convert (or don't), and every conversion teaches the algorithm what a responder looks like. The next round of delivery skews toward people like them.
So the targeting loop starts with creative, not settings. A hook that says "for marathon runners" targets marathon runners more precisely than any interest stack, because it filters by actual attention instead of profile metadata. A vague hook ("you won't believe this trick") targets nobody and everybody, and the algorithm learns nothing useful from the resulting mess.
This is why creative testing volume matters more than targeting cleverness in 2026. Ten distinct hooks aimed at ten different buyer motivations will segment your audience better than ten interest stacks ever could. The settings are guardrails. The creative is the steering wheel. Drive accordingly.
Practical consequence: if your broad campaigns are underperforming, the first suspect is creative breadth, not the audience setting. One generic ad shown broadly is a lottery ticket. Five specific ads shown broadly is a targeting strategy.
How we test it
Our approach is deliberately boring. New accounts and small budgets start with defined targeting: sensible interest stacks, clean exclusions, controlled structure. Once conversion volume supports it (dozens per week, sustained), we open a broad test cell alongside and let them compete on equal creative.
If broad wins on CPA at equal or better quality, it becomes the default and detailed moves to guardrail duty: exclusions, retargeting segmentation, niche carve-outs. If broad loses, we stay detailed and revisit when volume grows. No dogma, just a test with a clear read-out.
One rule we never break: never change creative and targeting in the same test. You'll learn nothing and argue about everything.
FAQ
Is interest targeting dead on Meta ads? No. It's demoted from default to situational. Broad targeting wins in most scaled accounts, but detailed targeting still works for small budgets, niche audiences, exclusions, and controlled tests.
Should I use broad or detailed targeting in 2026? Broad if you have the budget and conversion volume to support it (roughly $50+/day and dozens of weekly conversions). Detailed if your budget is small, your audience is niche, or you need strict control. Test both when you can.
What is Advantage+ audience? Meta's automated audience expansion, now default on new campaigns. It takes your targeting inputs as suggestions and broadens delivery to find converters outside them. You can constrain it, but the default is expansion.
Does creative really matter more than targeting now? For audience discovery, yes. Your hooks determine who stops and engages, which determines who converts, which trains the algorithm on who to find next. Targeting settings set the boundaries; creative does the finding.
Can I still exclude audiences with broad targeting? Yes. Exclusions, geo constraints, and audience controls still work. Broad refers to who you're willing to reach, not an absence of guardrails. Use them.
When should I switch from detailed to broad targeting? When you have sustained conversion volume (dozens per week), budget headroom for the learning phase, and creative variety to feed discovery. Open a broad test cell alongside your detailed setup and let performance decide.
Written by the MetaMaxd team. We run Meta ads for brands that are tired of agency theater: no vanity metrics, no "hacks," just accounts engineered to make money. If your targeting strategy is a 40-interest stack from 2021, that's what our audits are for.
