Taboola vs Outbrain: How to Choose and Test Both

If you are weighing Taboola vs Outbrain, you probably already run paid social and want a second source of traffic that does not depend on Meta. Both networks place your ad as a recommendation on publisher sites, and both can send e-commerce traffic. This post does not claim one of them is cheaper or better, because that depends on your product, country and offer, and it changes over time. Instead it covers what to compare, how to read the answers a sales rep gives you, and how to run an equal, small-budget test so you get numbers of your own.

Quick verdict: Taboola or Outbrain?

There is no universal winner, and anyone who gives you one without knowing your product and market is guessing. What you can do is pick a sensible starting point and let a controlled test decide.

If you can afford a small test, run both. The plan is at the end of this post.

Taboola vs Outbrain at a glance

The table lists the criteria that matter for an e-commerce brand and what to ask or check for each. Details such as minimum spend, available formats and policy rules change, so confirm current terms with each network before you commit.

Inventory and reach

Inventory means the publisher sites and app placements where your ad can appear. It is the biggest practical difference between native networks, and the one that is hardest to see from outside. The two networks overlap in places and differ in others, and the mix varies by country.

Do not ask "who has more reach". Ask "where would my ad show for this country, on mobile, for this kind of product". Request example placements. Then ask yourself whether your customer would plausibly read those sites.

After the first campaign runs, look at placement-level reporting if the network offers it. Native performance often differs a lot between placements, and the network average hides that.

Targeting and audiences

Meta buyers are used to detailed audience targeting. Native works differently: people are reading an article, not scrolling a feed about themselves. Context, device, location and the ad itself do most of the work.

Compare what each network lets you do on location, device, time and exclusions, and whether you can build audiences from your own site visitors for retargeting. Also check whether you can block poor placements, because that is how you improve a campaign after the first results.

Expect to lean less on targeting and more on the angle and the advertorial. That is the same on both networks.

Creative and headline rules

On native networks the headline and thumbnail are the ad. Each network has its own limits on headline length and image format. If your headlines break a limit, they get cut off or rejected.

Write headlines in sets, then keep the strongest. Before you launch, check each headline against the character limit of the platform it will run on. If you plan to run both networks, write for the stricter limit so one set works on both.

Also look at what the ad is allowed to show. Before-and-after images, exaggerated claims and some health wording are typical trouble spots on any network. Read each network's current rules rather than assuming they match Meta's.

For formats beyond the basic recommendation widget, see our overview of [native advertising examples](/native-advertising-examples).

Bidding, budget and minimums

Check three things: how you are charged, how much control you have over bids, and what the minimum budget is. A network that needs a larger budget than you can spare will make your test unreadable, because a campaign that spends too little never leaves its learning phase.

Be careful with cost comparisons. A lower cost per click is not a win if those clicks do not buy. Always compare cost per purchase, or cost per add-to-cart if volume is too low to see purchases. For a wider look at spend, read [how much native advertising costs](/native-advertising-cost) and our guide to [Taboola pricing](/taboola-pricing).

Policy and approval

Both networks review ads and landing pages. The same advertorial can be approved on one and questioned on the other. Treat approval as part of the test: submit the same page to both and note how long review takes and what feedback you get.

Advertorials help here when they are honest about what they are. An advertorial is an advertisement written like an article, so it should carry an "ADVERTORIAL" label at the top. Health products need a disclaimer. Pages that look like news but hide that they are ads are what reviewers and readers push back on.

If you also run Meta, keep your wording clean for both. Ad copy that would cause policy trouble on Meta is worth fixing before it is used anywhere.

Reporting, tracking and support

Native traffic is colder than Meta traffic, so you need to see what happens after the click. Set up conversion tracking on the network and in your own analytics, and give each network its own UTM parameters (tags in the URL that tell your analytics where a visit came from). Otherwise you cannot tell which one sent the buyer.

On support, ask each rep a specific question, such as why a placement is underperforming or what is blocking an ad. The quality of the reply tells you what working with them will be like when something breaks.

When to choose each

Start with Taboola when

• You want to build several advertorials for one product and connect them to campaigns in one batch.
• Its placements look right for your market when the rep shows them to you.
• You want one network first and plan to add another once you know what works.

Start with Outbrain when

• Its placements fit your market better when you compare examples from both reps.
• You already have a winning advertorial and need a second source of volume.
• Your category or page ran into limits on Taboola.

Whichever you pick, the basics are the same. See our guides to [Taboola ads](/taboola-ads) and [what Outbrain is](/what-is-outbrain), and the wider list of [native ad networks](/native-ad-networks) and [Taboola alternatives](/taboola-alternatives) if neither fits.

How Nativize builds advertorials for either network

The network matters less than what you send to it. Nativize builds the [advertorial](/advertorial) first and connects it to a campaign afterwards. The method:

1. Start from the product page URL. The builder reads the page itself, not a summary of it.
2. Collect customer reviews from the product page and from review sites. Competitor pages or free-text instructions, such as "mention the 30-day guarantee", can be added.
3. Pull out the customer's pain points and the benefits people actually mention, in their own words.
4. Propose several marketing angles, normally five or more. An angle is a distinct reason to care: a different problem, audience or story. Each angle becomes its own advertorial.
5. For one chosen angle, write the page as short sections: a headline, a one-line preview, the body and a closing call to action. Writing style and target reader are set before writing.
6. Generate headlines in sets, grade them and keep only the strongest, each checked against the character limit of the platform it will run on.
7. Audit Meta ad copy for wording likely to cause policy problems.
8. Upload the product photo and brand logo once per product, so every angle shows the same product. Images are made or chosen per section to support the paragraph beside them.
9. Choose the layout separately from the copy. The two most used are a sidebar layout and a centred layout with a sticky call to action, with brand colours taken from the product page.
10. Add the "ADVERTORIAL" label bar at the top, and a health disclaimer only where it applies.
11. Export a self-contained page for the advertiser's own domain. Tracking tags (Google Tag Manager, Meta Pixel, GA4 or your own script) are added only at export, so reviewing drafts never fires real tracking.
12. Before publishing, a person can edit single paragraphs, so a small copy fix does not mean regenerating the page.

Several angles can be built in one batch for the same product and then connected to Taboola campaigns. Because the page is a standalone page on your own domain, the same page can also be your test landing page on a second network.

How to test both with a small, equal budget

The goal is a fair fight. Change one thing, the network, and keep everything else identical. Here is a made-up example, not a client case: a stainless steel water filter pitcher sold on its own store. The same steps apply to your product.

1. Pick one product that already sells on Meta, so you know the offer works.
2. Build one advertorial around one angle. In the made-up pitcher example the angle is "stop buying bottled water". Do not test several angles yet.
3. Use the same headline set, thumbnails and page on both networks. Write headlines to the stricter character limit.
4. Create one campaign per network with the same country, same devices and same start date.
5. Set the same daily budget on each. Choose a total you can afford to spend without a win. If one network needs a higher minimum, note it and treat it as a finding.
6. Tag each network with its own UTM parameters and use the same conversion events in your analytics.
7. Leave the campaigns alone at the start. Constant edits reset learning and muddy the comparison.
8. Compare cost per purchase (or cost per add-to-cart if purchases are too few), what happens on the page after the click, and whether each campaign can spend its budget at that cost.
9. Decide. If one is clearly ahead, move budget there and test new angles. If they are close, keep both and test angles on each. If neither works, change the angle before you blame the network, then repeat steps 2 to 8.

Do not call the test early on a handful of clicks. Wait until each side has enough purchases or add-to-carts that one lucky sale cannot flip the result. If you are used to the way [Facebook ads for e-commerce](/facebook-ads-for-ecommerce) report, expect native to be slower and noisier at first.

Frequently asked questions

The bottom line

Taboola vs Outbrain is a question your own data answers better than any article. Compare inventory, creative rules, bidding and approval, then run one advertorial on both with the same budget and tracking. Pick the one that gets purchases at a cost you can scale, and spend the next round of budget testing angles on it. If you would rather not build and run this yourself, see how a [native advertising agency](/native-advertising-agency) works.

Keep reading

• native advertising examples
• how much native advertising costs
• Taboola ads
• what Outbrain is
• Taboola alternatives
• advertorial
• native advertising agency