How to Target the Right Audience on Outbrain & Taboola (2026)

At least twice a week since 2015, an advertiser asks me the same question about Outbrain and Taboola: "Marcel, what about the targeting options?" They come from Facebook and Google, where interest-based targeting once let you slice an audience down to car owners, dog owners, and parents. Then they open a native dashboard and the toolbox looks almost empty.

Here is the honest answer. Native advertising has no real interest-based targeting at setup, and that is not a problem to fix with a checkbox. It is a problem you solve with the offer, the creative, and the headline, and then with the data your campaign generates in its first few days on Outbrain and Taboola.

I'm Marcel Sattler, founder of native-advertising.net, and since 2015 my team has deployed more than $100M across Taboola, Outbrain, Newsbreak, MGID, Yahoo Native, Mediago, and RevContent for DTC, lead-gen, and affiliate advertisers. Targeting on native works completely differently from social. Once you stop looking for the Facebook interest panel, the picture gets a lot clearer.

Why native ads have no interest-based targeting like Facebook

On Facebook before the iOS 14 update, interest-based targeting was the center of the game. The algorithm could reach Android and iOS users by their interests, and on top of that you layered country, device type, and a dozen other options. The iOS 14 change broke a lot of that interest targeting for iPhone users, but the interest panel was still the engine.

Native is not that. On Taboola and Outbrain there is no granular interest targeting at launch. What native does have is interest categories so broad they barely count as targeting: politics, news, sports. That is the entire menu, and it is the wrong place to start.

The reason is the mindset of the user. On native, people are in reading mode. They scroll to the bottom of a news article, they want to read more, and they self-select the topics they care about. You are not interrupting them mid-scroll the way a social feed ad does. So the way you reach the right audience is not a setting. It is the message itself.

Check the offer first: native rewards broad, not niche

Before you touch a single targeting setting, check whether your offer is even a fit for native. This is the step most advertisers skip, and it is the one that decides whether the rest of the work matters.

Because there is no real targeting funnel, native demands a broad product or service. Something interesting to a large slice of the population, not a sliver. If you have a tightly niche product, especially pure B2B, native is usually the wrong channel. There is no setting that will conjure a small, specific audience out of a news feed.

• Broad consumer offers (DTC, ecommerce, lead-gen, affiliate) fit native well.
• Narrow B2B or hyper-niche products usually do not.
• If only a small niche cares about the offer, fix the offer or pick a different channel before spending.

If you are not sure your offer clears that bar, that is exactly the kind of thing to pressure-test before launch. Book a strategy call and we will tell you straight whether it is a native fit.

The targeting options you actually get at setup

When you build your first campaign on Taboola or Outbrain, the available controls are limited, and that is by design. These are the levers I recommend for campaign number one:

1. Country, region, or city. Pick the dedicated geography you want to serve.
2. Device type and OS. Separate Android from iOS, and mobile traffic from desktop. You can run one device, several, or all of them.
3. Creative and headline. The single most important targeting lever on native.

Notice what is not on that list: interest targeting. The broad interest categories exist, but starting with them before you have data makes no sense. You would be guessing. Interest belongs in the optimization step, after the campaign has told you something real. We will get there.

Country and device are the easy part. They behave the way you expect. The work that actually decides who sees your ad is the creative and the headline, so that is where the rest of this comes in.

Creative + headline: the one targeting option that always works

On native, the combination of creative and headline is the one and only targeting option that works every single time. This is how you reach a specific audience without a specific audience setting.

It is why you see native headlines that call out the audience by name. "Homeowners, pay attention." "Were you born between 1978 and 1999?" "Parents, read this before you cut your electricity bill." The headline names the person it is for, and the image reinforces it. Want parents? Show a family in a home environment so a parent looks at it and thinks, that is us.

That self-selection is the whole mechanic. Readers are scanning for what is addressed to them. The moment they feel a piece speaks to them as a person, they are in. The targeting happens in their head, triggered by your creative and copy, not by a dropdown.

This is exactly why, in client projects, we put serious time into mastering both halves with two dedicated teams: one that does nothing but write titles and headlines, and one that does nothing but produce creatives. The audience you reach on Taboola and Outbrain is the audience your creative and headline call to. Treat that as your real targeting engine. Our ecommerce and affiliate teams are built around exactly this split.

Whitelists and blacklists: the advanced lever (and the rep you need)

One step beyond country, device, creative, and headline, you get whitelists and blacklists. The names say it: a whitelist pre-selects the traffic sources or publishers you want, and a blacklist blocks the ones you do not.

Most platforms only give you one of the two, not both. And in many cases you cannot implement a real whitelist yourself. You need an account rep to set it up. You can fake a whitelist with technical workarounds like an optimizer, and that does work, but it is not a true whitelist. For a real white or blacklist on Taboola or Outbrain, you normally need a rep on the platform side to help you.

This is one of the practical reasons agency-level access matters on native. Rep relationships unlock controls that a self-serve advertiser often cannot reach. If you do not have that access yet, that is something an agency layer solves for you.

Optimize with data: publishers, then interest categories

Once your campaign has run a few days and produced data, the optimization process begins, and this is where the real audience refinement happens.

Open your Taboola or Outbrain dashboard and look at where the money went, which pages and publishers spent your budget. From there you decide which sources make sense. If you target women and a chunk of spend went to a men's health publisher, that audience is wrong, so you block that publisher.

But block by data, not by feeling. This is the rule I push hardest: never block a publisher on a hunch. Block it because the numbers say so. Low CTR, low conversions, money spent with nothing to show, or a high CPA. Those are reasons to cut. Your gut is not.

• Block a publisher with low CTR, weak conversions, and wasted spend.
• Block a publisher with a high CPA that does not improve.
• Do not block a publisher just because you assume it is the wrong fit.

Now, and only now, interest enters the picture. Once you have conversion data, Taboola and Outbrain show you precisely where conversions are coming from. You might see your converters skew toward politics, sports, and news. With that knowledge, you build a new campaign targeted to just those interests.

Then you split test it, the way you split test everything in digital marketing. Run your regular campaign against the interest-targeted campaign and let the data decide. Interest targeting on native is an outcome of optimization, not an input at launch. See how this plays out in real accounts in our case studies.

Start big, then expand

There are plenty of smaller native traffic sources out there, but at the beginning I always recommend starting on a major platform like Taboola or Outbrain. The volume and the dashboard data are what make the whole optimization loop above possible. Smaller networks like MGID, Yahoo Native, Newsbreak, Mediago, and RevContent are worth expanding into once your offer and creatives are proven, not before.

Get the offer, creative, and headline right on a big platform first. Earn the data. Then refine the audience with publisher cleanup and interest split tests. That sequence is the targeting strategy on native.

Watch the full breakdown

Where to go from here

The takeaway is simple to say and hard to do well: on Outbrain and Taboola, your creative and headline are your targeting, your offer has to be broad, and your audience refinement comes from data, not assumptions. Get those right and the missing interest panel stops mattering.

If you want a team that runs this loop for you, with separate headline and creative teams and the rep access to set up real whitelists and blacklists, book a strategy call. Tell us your offer and your vertical, whether DTC, lead-gen, or affiliate, and we will tell you whether it is a fit for native and how we would target it.