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How Do You Assess a Content Discovery Advertising Platform Before Spending Money

Straight answer: before you put real money into a content discovery platform like Taboola, Outbrain, MGID or Revcontent, run a small test budget of £200 to £500, request their actual publisher list rather than the "premium network" pitch, and track cost per qualified lead rather than clicks or impressions. Most of these platforms make their money whether or not you make yours, so the burden of proof sits entirely with you.

What content discovery is, once you strip the sales language away

Content discovery advertising is the "you might also like" widgets at the bottom of news articles. Taboola runs on sites like MSN and the Independent. Outbrain sits alongside CNN and the Telegraph. MGID and Revcontent tend to live on smaller, lower-traffic sites with more aggressive headlines. You pay per click, usually somewhere between $0.02 and $0.15 depending on vertical and country, and your headline and thumbnail get slotted in among editorial content, celebrity gossip, and other advertisers' clickbait.

The pitch is always the same: massive scale, "premium" publisher partners, native format that doesn't feel like advertising. All of that is true and none of it tells you whether it will work for your business specifically. I've had clients spend five figures on the strength of a sales deck that showed a case study from a completely different industry with completely different economics.

The question almost nobody asks before they sign up

Here's the bit that most guides on this topic skip: content discovery platforms and you do not want the same outcome. Your goal is a customer. Their goal is a click, because that's what they get paid for by the publishers whose inventory they're reselling to you. A high click-through rate looks great in the dashboard and means almost nothing about whether anyone bought anything. I've seen campaigns with a 0.4% CTR, which sounds respectable, produce a cost per lead of $180 because the traffic bounced within four seconds of landing.

That's not a scandal, it's just the business model. Once you accept that the platform's dashboard is optimised to make the platform look good rather than to make your P&L look good, you assess it completely differently.

The test I run before anyone spends serious money

This is the exact process I used for a client selling an online course a few years back, and it's the one I still use now.

Step 1: Start with a budget you can afford to lose entirely

£300, run over five to seven days, no exceptions. If a rep pushes you toward a minimum spend of £1,000 or more before you can even see meaningful data, that tells you something about how confident they are you'll get value from a smaller test.

Step 2: Ask for the actual publisher list, in writing

Not "premium partners include the BBC and CNN." The actual list of domains your ads can appear on. Taboola and Outbrain will usually give you a category-level breakdown if you push; smaller platforms like MGID are often vaguer about it, which is itself useful information. If they won't tell you where your money is going, that's your answer before you've spent a penny.

Step 3: Set up conversion tracking before launch, not after

This sounds obvious and yet I'd guess half the accounts I've audited had a pixel installed on the wrong page, or none at all, for the first two weeks of spend. Track the click, but track the form fill, the add to basket, and the purchase separately, so you can see exactly where people drop off.

Step 4: Judge the test on cost per qualified action, not CTR or CPC

In that course launch test, we spent £280 on Outbrain and got 3,100 clicks at roughly $0.07 each. Nine people started the checkout process. Two completed it. Cost per sale worked out at £140 against a £97 course. On paper the CTR looked fine, the CPC looked cheap, and the campaign was still losing money on day one. That's the number that matters, and it's the number platforms almost never lead with in their reporting.

Step 5: Check bounce rate and average session time in your analytics, not theirs

Anything under 15 seconds average time on page from this traffic source is a warning sign that you're buying clicks, not attention. In the same test, average session time from Outbrain traffic was 11 seconds. From a comparison test we ran on Revcontent a month later it was 6 seconds. Neither is good, but it told us the traffic quality problem wasn't specific to one platform, it was specific to the channel.

Step 6: Ask what happens if you want to pause or leave

Some platforms require 24 hours' notice to pause a campaign fully, some let you switch it off instantly. Some hold refunds on unspent balance for weeks. Get this in writing before you fund the account, not after you've decided the results are poor.

Red flags worth walking away from immediately

  • They won't share publisher-level or category-level placement data
  • The onboarding call spends more time on their case studies than on your specific goals and margins
  • Minimum spend to " test" is more than you'd spend testing Google or Meta ads for the same offer
  • No transparent way to blacklist specific domains once you spot low-quality placements
  • Your account rep can't explain, in plain terms, how their auction and pricing model works
  • Every case study they show you is from a completely different vertical to yours

What good looks like

When a content discovery platform is worth the spend, you'll see it within the first week: session times closer to a minute, a bounce rate that's high but not catastrophic, and a cost per lead that's at least in the same postcode as your other paid channels. I've had campaigns on Taboola for evergreen, curiosity-driven content (think "5 signs you're underpaid" style headlines linking to a salary guide) that pulled in email sign-ups at $1.20 each, which beat what the same client was paying on Facebook that month.

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The difference between that result and the £140-per-sale disaster wasn't the platform. It was the content. Content discovery rewards headlines and thumbnails built for curiosity, not conversion copy lifted straight from your landing page. If your organic content strategy is already built around genuine curiosity and value rather than sales pitches, and you've worked through something like a proper social media marketing strategy for your brand, you already understand the instinct these platforms reward. If you haven't, you're guessing with someone else's money.

Where this fits with the rest of your marketing budget

I treat content discovery the way I'd treat any speculative acquisition channel: worth testing, never worth trusting on the strength of a sales deck. It's the same due diligence mindset I use when clients ask me to help them assess buying an existing app or digital asset; the pitch is always polished, and the real numbers only show up once you've done your own testing rather than relying on theirs.

If you don't have the time to run and monitor a proper test yourself, that's a legitimate reason to hand it to someone, whether that's a freelance media buyer or a trained virtual assistant who can handle daily monitoring and pausing underperforming placements while you focus on the business itself. Just make sure whoever runs it understands cost per qualified lead is the only number that matters, not the vanity metrics the platform dashboard leads with.

And if paid discovery isn't converting, don't assume paid traffic in general is the problem. Some of the best "discovery" I've had for clients in the last few years has come from unpaid channels, including guest appearances on relevant shows; the same principles I cover in podcast marketing around getting the right ears on the right message apply just as much to a native ad headline as they do to a podcast pitch. It's still about matching the hook to the audience, not just buying more clicks.

One last thing worth saying plainly: nobody builds a lasting audience by outsourcing every ounce of judgement to a platform's own reporting. Oprah didn't build hers that way, and neither should you; the business lessons from Oprah Winfrey that stick with me most are about trusting your own read of an audience over anyone else's dashboard. Content discovery platforms are a tool, not a strategy, and the moment you start believing their numbers over your own bank balance is the moment you've stopped assessing and started hoping.

Frequently asked questions

Which content discovery platform has the best traffic quality, Taboola or Outbrain?

Neither is consistently better; it depends on your vertical and country. Taboola tends to have slightly stronger placements on larger news sites in the US and UK, Outbrain often does better in finance and B2B. Both need testing at the campaign level, because publisher mix varies by category and target region, not just by platform.

How much should I spend to test a content discovery platform?

£200 to £500 over five to seven days is usually enough to see whether cost per click and cost per lead are in a sane range for your offer. Anything less and you won't get statistically useful data; anything more before your first result is unnecessary risk.

Why is my click-through rate good but I'm not getting any sales?

This is the most common complaint with content discovery advertising. A good CTR usually means your headline and thumbnail generated curiosity, but if the traffic bounces within seconds of landing, the mismatch is between the ad and the landing page, or between the audience and the offer entirely. Check session duration and bounce rate before blaming the platform.

Are MGID and Revcontent worth trying if Taboola and Outbrain are too expensive?

They can be cheaper per click, sometimes half the CPC of Taboola, but the trade-off is often lower quality publisher inventory and traffic that converts worse. Run the same small test process on them rather than assuming cheaper clicks mean a cheaper cost per lead.

Related reading: How Do You Do Keyword Research on Your Competitors? and AI News This Week for Small Business, 26 July 2026.

Published and maintained by the Lilach Bullock team, covering marketing, AI and business growth.
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