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7 min readBy Marcel Sattler

Native Advertising KPIs for Your First Campaign (2026)

When you launch on Taboola, Outbrain, or MGID from scratch, you have zero purchase data. Here are the leading KPIs that tell you whether to scale or kill on day one.

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You launch your first campaign on Taboola, Outbrain, or MGID, you spend your first few hundred dollars, and you stare at a dashboard with zero purchases.

— Marcel Sattler

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You launch your first campaign on Taboola, Outbrain, or MGID, you spend your first few hundred dollars, and you stare at a dashboard with zero purchases. Everybody told you to optimize on ROAS and CPA. But you can't optimize on a number that doesn't exist yet. So you sit on your hands while the budget bleeds.

That's the trap almost every new advertiser walks into. The fix is to stop watching the final conversion and start reading the leading KPIs that fire long before a purchase ever lands. Get those right and you'll know on day one whether a campaign deserves more money or a bullet.

I'm Marcel Sattler, founder of native-advertising.net, and since 2015 I've deployed more than $100M across Taboola, Outbrain, Newsbreak, MGID, Yahoo Native, Mediago, and RevContent for DTC, lead-gen, and affiliate offers. The funnel below works on every one of those platforms. It is not specific to Taboola or Outbrain or MGID. These are the fundamentals, and they hold no matter which traffic source you start with.

Why ROAS and CPA fail you on day one

In e-commerce, the final conversion is a purchase. In lead-gen, it's a lead or a qualified registration. In affiliate, it's whatever payout event your network counts. Everyone optimizes on that final event, and they're right to, once they have it.

The problem is volume. When you start from scratch, you'll see a pile of "view content" and "view product" events. You will not see many add-to-carts or start-checkouts, and you'll see almost no purchases. The algorithm on Taboola or Outbrain needs conversion signals to learn, and it can't learn from three purchases.

So you move up the funnel. You read the metrics that fire in quantity before the sale, and you let those leading indicators steer the campaign while the purchase data is still thin. That's the whole game in week one.

If you're running e-commerce, see how we structure this on /solutions/ecommerce; for lead funnels the same logic lives on /solutions/lead-gen.

Feed the algorithm with micro-conversions

Here's the move that gets a fresh account out of the cold-start phase fastest: mark micro-conversions as conversion events, not just the purchase.

In Taboola, open the tracking section, find your conversion events, and mark add-to-cart and start-checkout as final conversions alongside the purchase. In Outbrain, select the pixel and the events inside the campaign and add them the same way. Now the algorithm has three conversion signals instead of one, so it gathers data faster and pushes the campaign in the right direction sooner.

This only applies in the beginning. Once you've spent multiple thousands of dollars on an account, kill the micro-conversions and optimize on the real sale. Early on, they're rocket fuel. Later, they're noise.

One warning: marking micro-conversions wrecks your headline conversion count. Instead of 10 purchases, your dashboard might show 300 "conversions" because every add-to-cart and start-checkout now counts. That number is wrong for measuring profit, and you have to read it differently.

  • In Taboola, go to Columns and add a column for the purchase event specifically, so you can still see true final conversions cleanly.
  • In Outbrain, do the same: add the purchase column and read it separately from total conversions.
  • Treat add-to-cart and start-checkout as direction for the algorithm, never as your profit number.

Set this up on whichever network you're starting on, whether that's /taboola-agency, /outbrain-agency, or /mgid-agency.

Advertorial CTR: the single KPI most people never measure

Your funnel is ad → advertorial → offer. The advertorial sits between the click and the sale, and the KPI that tells you whether it's working is the click-through rate from the advertorial to the offer page. Almost nobody measures it. It's the first thing I read on day one.

Run multiple advertorials, never one. Starting a campaign with a single advertorial in 2024 was already a mistake, and it still is in 2026, because you burn money with nothing to compare against. You don't need four or six versions or full multivariate testing. An A/B test is enough at the start: change the headline, change the call-to-action button. Sometimes a different CTA alone lifts advertorial CTR from 4% to 10 or even 15%.

Setting up the split test is technically simple. Use a tracker like Voluum or ClickFlare, a link shortener like Pretty Links, or the built-in A/B tools inside funnel builders like ClickFunnels. Send equal traffic to each version: with three advertorials A, B, and C, every variant gets 33.33% of the traffic, so out of 100 clicks each advertorial sees roughly 33.

Now read the number against this benchmark:

  • 12-15%: healthy. Anything from 11% up to about 15.5% is fine.
  • 2-3%: your advertorial sucks. The angle doesn't fit the ad, the page is irrelevant, or there's a technical glitch. Swap it. Profitability from here is brutal.
  • 30-35%: too high, and that's a red flag, not a win. In 10 out of 10 cases this means clickbait. You promised $1,000 for filling out a quick form or listening to a Spotify song, people clicked, and then they didn't buy because you couldn't keep the promise on the offer page. Tons of clicks, zero conversions.

Markets, niches, and device types shift these ranges, so treat them as the rule of thumb, not gospel. But read this KPI from the very first day a campaign goes live.

Ad CTR: split test on purpose, in opposite directions

A native ad is two parts: a headline and an image. One headline paired with one image is one ad. Start with three headlines and three images, and you get nine ads. Numbers vary a little by platform, but three-by-three is the rule of thumb.

The point of the first batch is not to write the perfect headline. It's impossible to write the best headline on day one because you have no data. Even in our agency we still test, because nobody studied this at Hogwarts. The point is to discover which kind of headline wins. So you push the variants in deliberately different directions:

  • One headline built around a number.
  • One headline that establishes authority, like "doctors recommend."
  • One headline using a dynamic placeholder, like a city name dropped in via the platform's brackets.

Do the same with images. With three images, run an illustration, a product shot, and a portrait or headshot of a person. Then read the CTR on each. Same warning as before: around 10% is way too high, around 0.05% is way too low. You're hunting for the direction that earns the best CTR, not the single best creative.

When a category wins, you compound. Say portrait images win. Build a new lookalike-style campaign of nothing but portraits: a woman, a man, a family, a dog. The woman wins? Next campaign tests blonde, brunette, redhead. You stack headlines on top of images the same way. That's how a campaign gets better every single day, off real data instead of guesses. For affiliate operators running this play across offers, that's exactly what we do on /solutions/affiliates.

The publisher check that saves thousands

One bonus KPI to watch from the start: which publishers your ads run on. When a publisher shows a wildly high CTR, that's usually dangerous, not good.

Networks like Taboola and Outbrain can serve your ads on push publishers, which are typically smartphone games and similar low-intent placements. The clicks look great and convert into nothing. In the majority of cases you do not want that traffic.

Before you launch, message your rep or account manager and tell them to run a block list or white list in the background to keep you off push placements. That one request alone can save thousands of dollars on a new account. If you'd rather have a team handle the block lists, network reps, and KPI reads for you, that's the work on /mediago-agency and across our network pages.

Watch the full breakdown

Is your account a fit for the same play?

The leading-KPI framework, micro-conversions to warm up the algorithm, advertorial CTR in the 12-15% band, three-by-three creative testing, and a publisher block list, works on a brand-new account or a stalled one. If you've spent a few hundred dollars and still can't tell whether a campaign is salvageable, the problem is almost always that you're watching the wrong number.

Book a strategy call on /contact and we'll read your funnel with you. Want proof before you talk? See real accounts on /case-studies, or browse every breakdown on /resources.

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