Short answer: Facebook ads targeting in 2026 is mostly about giving Meta’s system good signals, not drawing a tight box around your customer. For most conversion campaigns, broad targeting with Advantage+ audience is the sensible default. Custom audiences, lookalikes and interests still matter, but mainly as suggestions and exclusions. The real controls you keep are location, minimum age and custom audience exclusions.
How Facebook ads targeting changed
A few years ago, a typical Meta account had dozens of ad sets, each aimed at a narrow interest such as “yoga” or “small business owners”. The advertiser’s skill was finding the right interests and stacking them. That approach has faded for three reasons.
- Fewer interests exist. Meta has been removing and merging detailed targeting options for years. In 2025 it announced another round of consolidation, and ad sets using the removed options stopped delivering after 15 January 2026.
- Exclusions by interest are gone. Detailed targeting exclusions have been removed. Meta said that when they were removed, the median cost per conversion improved by 22.6% in its own data (reported in the same Social Media Today article).
- Many inputs are now suggestions. With the most common performance goals, Meta treats interests and lookalikes as hints it can go beyond, even if you switch off Advantage+ audience. Jon Loomer explains this in detail in his guide to targeting suggestions.
The result is simple. Your targeting choices now shape where Meta starts looking, not where it is allowed to look. Your creative, your conversion event and your offer do much more of the filtering.
Controls vs suggestions: the part most people miss
The most useful thing to understand about targeting today is the difference between hard controls and soft suggestions. Here is how it breaks down for a typical sales or leads campaign, based on Jon Loomer’s 2026 targeting guide:
| Setting | How Meta treats it |
|---|---|
| Location | Hard control. Ads will not go outside it. |
| Minimum age | Hard control within audience controls. |
| Custom audience exclusions | Hard control. Excluded people are not reached. |
| Interests and behaviours | Suggestion for most performance goals. |
| Lookalike audiences | Suggestion for most performance goals. |
| Custom audiences (included) | Suggestion with Advantage+ audience on. |
| Age range and gender | Suggestion with Advantage+ audience on. |
This matters because many advertisers think they are running a tight interest audience or a pure retargeting ad set when Meta is actually reaching a much wider group. If you need a hard limit, you get it through location, minimum age or exclusions, not through interests.
Broad targeting and Advantage+ audience
Broad targeting means you set only the essentials, usually country and perhaps a minimum age, and let Meta find buyers. Advantage+ audience is Meta’s default audience setting for most campaigns. You can leave it fully open or add audience suggestions such as a customer list, a lookalike or a few interests. Meta uses those suggestions first, then expands when it predicts better results elsewhere.
Why does broad usually work? Meta’s system learns from the people who actually convert. When it has a clear conversion event and enough of them, it can find patterns that no interest list captures. Your job is to feed it accurate data and strong creative, then judge results on real sales or qualified leads.
Broad targeting is not a magic switch, though. It works best when:
- You optimise for a real business event, such as a purchase or a qualified lead, not a cheap action like link clicks.
- Your Pixel and Conversions API send clean, deduplicated events.
- Your ads clearly signal who they are for, so the right people stop scrolling.
- Your budget is large enough for the ad set to collect regular conversions.
That last point about creative is the one I stress most. When targeting is broad, the ad itself does the targeting. An ad that opens with “For dentists who are tired of no-shows” will attract dentists, whatever the audience settings say.
Custom audiences: still your most valuable data
Custom audiences are built from your own data: website visitors tracked by the Pixel, customer lists, app users, video viewers, lead form openers and people who engaged with your Facebook or Instagram accounts. They remain the most valuable targeting asset you own, but their role has shifted.
- As suggestions: adding a customer list or a list of past purchasers to Advantage+ audience tells Meta who your buyers look like.
- As exclusions: excluding recent purchasers stops you paying to sell to people who just bought, which is a hard rule Meta respects.
- For reporting: they let you define who counts as an engaged visitor or an existing customer, so you can see where budget is going.
Be careful with exclusions, though. As Jon Loomer notes in his guide to exclusions, past customers are often your most likely buyers and can leave useful social proof in the comments. Exclude them only when you have a clear reason, such as a one-time purchase product or a separate customer campaign.
Lookalike audiences and interests: when they still help
Lookalikes used to be the go-to prospecting tool. Today, for most conversion goals, a lookalike is treated as a suggestion, so it behaves much like broad targeting with a hint. Interests work the same way. That does not make them useless. They can help in a few situations:
- A new ad account with little conversion history, where a starting hint can speed up early learning.
- A niche B2B or professional offer where the right buyers are a small share of the population.
- Awareness or reach campaigns, where some inputs can still be applied more strictly than in conversion campaigns.
If you test interests or lookalikes, test them against a broad ad set with the same creative and budget. If the broad version matches or beats them on cost per real result, keep it simple.
A simple targeting setup I recommend
For most eCommerce and lead generation accounts, this is the setup I start with. It is deliberately boring, because boring structures give Meta enough data to learn.
- Check tracking first: confirm purchases or leads fire once, through both the Pixel and the Conversions API. If you need help here, my GA4 and tracking service covers it.
- Create one prospecting campaign optimised for your main conversion event.
- Use one ad set with Advantage+ audience, set to the countries you can actually sell to.
- Add your customer list or high-value visitors as audience suggestions, if you have them.
- Add exclusions only where they are clearly justified, such as purchasers in the last 30 days for a one-off product.
- Put 3 to 6 genuinely different creatives in the ad set, each speaking to a different buyer or angle.
- Let it run long enough to gather conversions before judging, and avoid daily edits that reset learning.
From there, add complexity only to solve a real problem: a separate product line with different margins, a different country with a different price, or proof that Meta is spending too much on people who would have bought anyway. This is also how a good Meta Ads specialist should think: start simple, then earn each extra ad set.
Common Facebook targeting mistakes
- Too many ad sets: splitting a small budget across ten interests means none of them gets enough conversions to learn.
- Restricting age and gender out of habit: unless your product legally or practically needs it, a narrow demographic often just raises costs.
- Believing a retargeting ad set is pure retargeting: with Advantage+ audience on, included custom audiences are suggestions, so new people can be reached too.
- Using old interests in old ad sets: ad sets built on removed interests can stop delivering, so review older campaigns.
- Judging targeting on platform numbers alone: compare Meta’s reported results with your store or CRM, and with your overall performance marketing numbers.
Frequently asked questions
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Do lookalike audiences still work?
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Need help with your Facebook ads targeting?
If your account still runs on dozens of narrow interest ad sets, or you are not sure what Meta is actually doing with your audiences, I can help. I work as a Facebook Ads management specialist for brands in the US, UK, Canada and Australia. Start with a free ads audit and I will show you what I would simplify first.