AI tools are not what they used to be 3 years ago. They can now compete with human writers. Still, “AI means scale” and “human means trust” is too simple. The real answer is in the numbers. Let’s see what AI does well, where it falls short, and when human input still wins.

Traffic Scaling

More content and faster launches – that’s where AI is hard to beat.

AI helps publishers:

Better growth: Human or AI? An Ahrefs study of 879 marketers compared the estimated organic growth of websites using AI content with those that did not. Here’s what the numbers showed.

Trends

Content Inflation Explained:The Role of AI and Synthetic Content

Traffic Performance

Google rankings

Let’s make one thing clear first: Google doesn’t ban AI-generated content. Also, it doesn’t reward or punish a page for how it was written. Google can consider content low-value, no matter if a person or a model wrote it. But using AI to generate many pages without adding value for users may violate Google’s spam policy.

Tutorials

1 Million Visits: Does It Mean Anything or Just Look Good? [With Calculator for Publishers]

Which ranks higher: Human or AI? The Ahrefs data below shows that human + AI content dominates the top (86,5%). Still, fully automated content rarely reaches the top positions, so human review remains important. 

Citations

It is quite obvious that pure AI earns fewer citations. That makes sense: it often repackages information already available online instead of adding something new. But human-edited AI content tells a different story.  

Which gets cited more: Human or AI? An Ahrefs study found that 87.8% of pages cited in Google AI Overviews combined AI and human input. Among these mixed pages, the amount of AI content barely affected citation position. 

Conversions

Which converts better: Human or AI? The results are mixed. Some research, including AI vs. Human Ads Conversion Performance, suggests that AI-generated ads can perform much worse than human-created ones. But in a Crazy Egg A/B test, an AI-built landing page achieved an 80.65% signup rate, compared with 55.68% for the human-designed version.

There is no clear winner. Raw AI content can convert worse, while well-made and human-reviewed AI content can perform well. Topic matters, too. We’ll cover that next.

Quality metrics

Engagement

Engagement is the area where human-written content has traditionally outperformed AI-generated content.

Tutorials

A Surefire Guide to Making Money with A Viral Website

Which Holds Attention Longer: Human or AI? Just recently, in August 2026, NP Digital analyzed 3,011 articles and revealed that human content kept visitors on the page 37 seconds longer than fully AI-generated ones. Light editing added just five seconds. 

Which Seems Higher Quality: Human or AI? A PLOS One study found that AI-written research blogs got slightly lower quality ratings when they were presented as human-written. When readers were told that AI wrote the draft and the authors reviewed and edited it, the negative effect almost disappeared. Engagement did not change significantly.

Brand safety

You may become AI-enthusiastic by now, but be careful. This area is where the risk gets real. 

According to an IAB study, more than 70% of marketers have faced AI-related advertising incidents, including hallucinations, bias, and off-brand content.

Without proper review, AI can:

The risk is highest in finance, medicine, blockchain, politics, news, children’s products, and legal advice. YMYL (“Your Money or Your Life”) content requires especially careful fact-checking and expert review.

TrendsTutorials

Hype Has a Date: The Secret to Event-Driven Monetization

AI Disclosure and Trust

What do you think: does labeling AI content as “AI-generated” change anything?

In NIM experiments, identical ads received lower ratings when labeled as AI-generated. People found them less natural and useful and were less likely to click or buy. The response was better among people who already trusted AI and for technology products.  

A PLOS One study found that AI articles received lower quality ratings when their origin was unclear. Once readers knew that humans had reviewed the content, the negative effect almost disappeared. Engagement did not change significantly.

SEO

AI Overviews: The End of SEO or the New Search Era? [Action Plan Inside]

Taken together, the findings look like this: 

Evgeniy Yudin, CEO of Rotgar AI, adds: “Topic matters, too. In a Reuters Institute survey on AI-generated news, the net comfort score – comfortable responses minus uncomfortable ones –  was +7 percentage points for fashion, +5 for sports, −21 for international news, and −33 for politics. People accept AI more easily in lighter topics – and trust it far less with sensitive ones”.

Revenue

Now for the most exciting part: can AI content make real money for publishers?  

Evgeniy says:

This quote sums it up better than anything else. That’s AI’s biggest financial advantage. 

AI does not guarantee more traffic or revenue, but it does cut production costs, speeding up drafting, rewriting, structuring, publishing, and deployment. The same team can produce more content, test more GEOs and affiliate niches, and scale without adding staff at the same rate.  

Research backs this up. An MIT Experiment found that professionals completed writing tasks 40% faster with the help of AI. Participants completed typical tasks such as reports and emails. Half were randomly given access to ChatGPT. The group with ChatGPT finished the tasks 10 minutes faster than the control group. 

SEO

SEO in 2026: Between the Rankings by Chance and Surviving AI, Google, and Declining Monetization

Bonus Part: A Case Study

And finally, here’s what a test of AI-powered websites revealed – Evgeniy shared a real case study from his team’s experience. 

They studied a network of 12 websites in narrow medical niches. As noted earlier, medical content falls under YMYL (“Your Money or Your Life”). These topics remain challenging for AI because mistakes can affect people’s health or safety. AI helped produce the content, while humans checked the sources and reviewed every page.  

During a five-day Google Search Console snapshot, the network generated 1,592 impressions and 78 relevant clicks. The pages were already gaining search visibility and attracting targeted traffic. Early page-depth and AdSense revenue metrics stayed close to comparable human-written projects. 

Here’s what his team learned:

AI can handle volume, but human experts should still control accuracy and value. That’s how publishers scale content without scaling risk. 

The post AI-Driven Websites: Definitely Yes or Better Not? Trust vs. Speed & Scale appeared first on Monetag.

That 0.3% is your social traffic – from a Facebook group, a Telegram channel, or a Reddit thread. We took 5 separate weeks of our network data spread over 6 months and checked what those visits are worth – and how to earn more from them.

What We Measured?

Monetag handles billions of ad impressions a week, and some of them come following a link from a social platform. We decided to compare these impressions from social networks with all the rest.

Case studies

Social Traffic Case Study: Stories and Tips from Successful Publishers

We analyzed 7.2 mln social impressions and 1.9 bln other impressions on the same ad format, Direct Link. Here is what we got:

It’s not a lucky week, either. We checked 5 separate weeks between February and September. 

The gap moved between 2.2x and 5.3x, but it never closed: social traffic paid more every single time. Its share stayed between 0.3% and 0.5% of visits, without big jumps up or down.

Let’s now look at how much a social visit is worth in different GEOs, compared with an average social visit across the network:

The same social visit is worth more in some countries than in others. Great Britain and Australia are at the top, which is no surprise, since CPMs are higher there in general. But the 3x premium over other traffic is not a Tier 1 thing only. It shows up across the network, so a site with mostly Tier 3 traffic gains from social visits too.

How to Profit From Social Traffic, Then?

So, here’s the main takeaway: a social visit pays about 3 times more, almost everywhere we looked. On many sites, though, it’s only a small part of all visits. Why? We asked Ioannis Giouroukakis, Head of Publishers at Monetag:

So a small social share usually means a loyal audience, not a weak site. The loyal audience is already there, and social visits come on top of it and pay more. Here’s how to bring more of them.

1. Make sharing easy on every page. Share buttons don’t get clicked often, but they cost nothing, so keep them on every page. More often, people share by copying the link or through the phone’s own share menu. So open your site on a phone and check both: the buttons work, and the link people copy is clean and leads to the right page. Mobile is more than half of all web traffic, so this is where sharing mostly happens.

Smartlink

What’s Wrong With Creator Funds and How to Monetize Short Video Content Without Them

2. Fix how your link looks in a feed. When someone shares your link on Facebook, Telegram, or X, the platform goes to your page and looks for Open Graph tags. Those tags are special lines in your site’s code that say which headline to show, text, and picture to show alongside the link. 

If the tags are there, your link looks like a card with an image, title, and a short description, but otherwise it will be a naked web address, barely noticeable and not worth a click.

3. Use the places that keep working after the post dies. A regular post lives for about a day, but a pinned message, a channel description, a bio link, or a reply under a popular comment might keep bringing people for months.

4. Go where the topic is already being discussed. One useful answer in a niche community can beat ten posts to a page nobody follows. So, if you add something people need to a discussion, and then, natively and naturally, leave your link to the page that says more – this might give this page a serious boost.

5. Repost the same links. It’s okay to take a page you shared six months ago and share it again. A post disappears from the feed in a day, and nobody scrolls back, so almost everyone who sees it this time is seeing it for the first time. One good page can keep bringing visits every few months.

6. Start with the pages that people share. Not every page is equally worth pushing. We looked at what kind of content pulled the most valuable social visitors, and here is the order:

7. Post short videos that lead back to the page. Reels, Shorts, and TikTok-style clips are what platforms push into recommendations right now. Instagram says it directly: most of what people see in Reels comes from accounts they don’t follow. So a short video reaches people who have never heard of you. Marketers agree: in HubSpot’s data, short-form video is the format with the highest ROI. Take the most interesting bit of a page, turn it into a short clip, and put the link where the platform allows it: in the bio, a pinned comment, or the description.

Tutorials

Facebook Monetization: How to Transform Your Posts to Profits

8. Let other people talk about you. People trust a real user or a creator more than a brand account. In a Stackla survey, consumers were 2.4 times more likely to call user-generated content authentic than content made by brands. And you don’t need big names for this: according to HypeAuditor, creators with 1,000 to 10,000 followers have the highest engagement rate on both Instagram and TikTok. A mention from someone whose followers already care about your topic can bring visitors your own posts would never reach.

9. Boost what already works. Before spending anything on paid social, look at which of your posts already brought visits on their own. Hootsuite recommends exactly this: put a small budget behind your top post of the week or month, because a post that already got organic engagement has proof it works. Then retarget people who already visited your site or engaged with your content. A proven post is a safer bet than a new one.

Tutorials

6 Mistakes Publishers Make When Monetizing Social Traffic

What’s Next?

So you have done all of the above, and your social traffic has increased. How to monetize it?

Our stats back this up: 

And here, we described in detail how our publishers actually monetize it:

Tutorials

How to Monetize Social Traffic in 2026: The Most Updated Twitter and Facebook Hacks

To Sum It Up a Bit

So what did we learn? It turns out advertisers – and thus an ad network – are willing to pay more for a visitor who arrived from social. Also, it turns out that you don’t really need to switch on anything or totally change all your workflows to attract more social traffic.

With several quick actions and Smartlink, you have all the chances to grow your profits as if you had a sudden traffic spike from your SEO efforts. 

The post The Most Expensive Traffic You Already Have: What Network Data Says About Visits from Social Media appeared first on Monetag.

Here it is: someone asks their AI agent to find the best new TV shows. The agent opens your site, reads the review, summarizes it, and replies. Your content was consumed in full, but your ads remained unseen. Meanwhile, your Google Analytics shows an IVT spike. Yes, that’s Invalid Traffic; you got it right.

And here’s how it looks in numbers:

So is it just a temporary mishap, something you can ignore, or a real threat to your profit? We did some research, asked an SEO expert, and are ready to answer.

Who helped us: 

Evgeniy Yudin, CEO Rotgar Ai visibility

Before We Go: What Does Agent Traffic Even Mean?

As Evgeniy says, сrawlers collecting data for training, a page loaded on a user’s request, and an agent driving a user’s browser are three different scenarios. A single growth number does not tell you how many people actually handed their own browser over to an agent.

So what are these scenarios in detail? Here is a quick table based on Fastly, HUMAN Security data, and Cloudflare terminology.

What’s the difference, and what does it mean for your profit?

AI Crawler

An AI crawler comes, as Digiday says, ‘often without generating a traditional pageview or ad impression so publishers can’t make money on the visit’. The problem here is not fake impressions or an invalid traffic flag in your report, but the agent used your server, took your content, and paid you nothing. No real harm either, to be fair.

AI Fetcher

A fetcher comes from a datacenter IP, and names itself honestly: ChatGPT-User or something like that. It often doesn’t create any ad impressions, too – but if it did, though, this impression can be marked as GIVT. The same Digiday article underlines that it’s ‘not fraud, so advertisers do not pay for non-human traffic media’. 

So what’s the problem? 

A buyer gets a report where they see a platform with a growing share of invalid traffic, and they don’t care if it’s just a harmless agent. A red metric is a red metric. That is exactly what Digiday reported at a long-running US news and commentary site: one advertiser cut its spend entirely. According to that report, nothing fraudulent was found; the metric just started to look bad.

Agent Browser

The agent browser is the most unpleasant case. It comes from a home IP address of a user, with normal cookies and a real session. It loads a full page and triggers an ad tag – just like if it were a human user. So, it creates an ad impression, looking very realistic – and a buyer pays for it.

Evgeniy:

Well, sounds profitable at first sight – you simply get your profit, even with no real users. However, a buyer won’t always look at the reports without checking the results, and eventually they will notice impressions are coming in, but clicks and conversions are not. This might affect your CPM, and buyers might start refusing your site in the end.

Trends

Content Inflation Explained:The Role of AI and Synthetic Content

To sum up: The crawler costs you revenue today, the fetcher costs you nothing but makes your reports look guilty, the agent browser pays like real traffic until the conversions don’t come, and then your CPM and your reputation go with it.

Does the Industry Suggest Something To Solve It?

Yes. Four options, each covering a part of a problem.

1. Charging for access. Cloudflare’s pay-per-crawl gives you a third option besides allowing and blocking bot traffic. It works like this: you set a price per agent request, and a crawler that will not pay does not get your content.

Here, your inventory is access to your content, priced per request.

2. Charging for use. RSL, or Really Simple Licensing, is a licensing layer on top of robots.txt. Instead of just saying who may crawl your site, you say on what terms: free, credit required, subscription, a fee per crawl, or a fee every time your content ends up in an AI answer. Reddit, Yahoo, People Inc., Ziff Davis, O’Reilly, Medium, Quora, Raptive, and Fastly are on board.

Here, your inventory is the right to use your content in an answer.

3. An industry protocol. IAB Tech Lab is working on the Content Monetization Protocol, or CoMP. It is a standard procedure for an agent to get from ‘blocked’ to ‘allowed under an agreement’.

Here is how it’s supposed to work: 

• a bot asks for your content
• there is no agreement, so you refuse and point it to a page with your terms
• the two sides agree on something
• the bot asks again, this time saying what it needs the content for
• you issue it an access token

After that, there is a record of who took what, when, and on what terms. Right now, nothing like that exists on the open web.

Here, your inventory is whatever the agreement says. However, this is not a service you can switch on, and there is no announced final version or publicly confirmed implementation yet. Right now, it describes how this should work.

A share of the browser’s revenue. Perplexity’s Comet Plus collects money from its subscriptions and splits it: publishers get 80%, Perplexity keeps 20%. You get paid in three cases: a reader opens your site from the Comet browser, your content is cited in an answer, or the agent uses your content to complete a task. Fortune, Gannett, The Independent, Time, Der Spiegel, and Blavity are in.

Here, your inventory is the agent’s action itself.

SEO

SEO in 2026: Between the Rankings by Chance and Surviving AI, Google, and Declining Monetization

It seems like you have a full pack of solutions, but in reality, most of it is half-built for now, and none of it is something you just switch on. All four have the same catch: they are simply offers. You can set a price, state your terms, but none of that makes an AI company pay.

What’s more, nobody has said what counts as a valid impression when the visitor is an agent. There are no rules for counting those impressions and no separate category for them in invalid traffic reporting.

As you see, you can more or less handle the crawlers, but all the rest have pretty vague guidelines. Anthony Katsur, CEO of IAB Tech Lab, is blunt about the timeline: ‘Nothing truly scales until 2027 or 2028’.

So, to answer the question: the industry has built plenty, but almost none of it puts money in your pocket this year. As Evgeniy says,

So What Can a Publisher Actually Do?

You cannot rely on the industry to solve this right now, so what are your real and urgent moves? In short: separate agent visits from the rest, then work on your content and your monetization instead of fighting the technology.

1. Start by understanding what your traffic is made of

Your traffic number might lie to you: bots go up, people go down, but the total stays flat. Meanwhile, your revenue might drop for no visible reason. Splitting the traffic tells you which of the two is happening: you are losing readers, or you are just collecting machines.

Tutorials

What to Do When Your Ad Revenue Is Declining?

Where to look? Two places:

• Server logs, or your CDN dashboard. This is the only place crawlers and fetchers exist. They do not run JavaScript, so Google Analytics never sees them. Look for the names: GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot, Meta-ExternalAgent. Count how many requests they made and which pages they visited.

• Your analytics. It shows people and agent browsers together, and there is no name to filter by, because an agent browser is a real browser on a real person’s laptop. It gives itself away by how it behaves, not by what it calls itself. The cursor jumps straight to the button with nothing in between – people do not move a mouse that way.

Evgeniy:

Once you catch even the cleverest agents, you clearly see what share of your sessions were human, and your revenue per human session. If most of your traffic is crawlers taking content, that is a licensing question, and you already know the answer to that one from the section above. If the human half is what is shrinking, no amount of bot detection will help you, and the next two steps are the only ones that will.

Evgeniy tracks this on his own projects, and here is his conclusion:

2. Adapt the content

If your page only exists to give a short answer, and AI can give that answer instead, the reader never comes. What holds up is content you cannot squeeze into a summary: your own data, a named expert, tools people use instead of reading – anything that gives a reason to come back.

Evgeniy:

Note that even if AI shows your content far more often than people click through to it, that presence can still pay off. It depends on your niche. Evgeniy sees this on medical projects: as presence in AI answers improves, branded search goes up. The likely path is that a person picks an organization with the help of an AI tool, then looks it up in Google or Maps and gets in touch.

Trends

Why Hard Paywalls Don’t Save Publishers, And Freemium Doesn’t Either

Evgeniy:

Just do not expect to prove it – as Evgeniy puts it:

So, adapt the content either way. What changes is what you should expect back: in some niches the mention alone brings people in; in others nothing happens until they actually open your page.

3. Create a pool of loyal users

AI broke that simple deal: where Google sent you a visitor, they watched an ad, and you got paid; now AI answers the question itself, so the visit might never happen.

So it doesn’t make sense to chase more visits, as you probably did before. Instead, a good fix might be loyal readers who come back on their own – and no AI agent can take those readers away from you.

You can obviously add more monetization channels, like subscriptions, paid content, or affiliate links, but all of it only works on someone who is already there. It’s not really different with the ads: formats that reach a reader who opted in, like push subscriptions, do much better work on a returning audience.

Evgeniy says the same thing when he explains what to measure:

Tutorials

1 Million Visits: Does It Mean Anything or Just Look Good? [With Calculator for Publishers]

Instead of The Summary: What Should You Do This Quarter?

Agents are growing, but most of them are crawlers: Fastly counted 85% in May 2026, and a crawler never loads an ad. The human half of the web is still there, still clicking. So, ads are not going anywhere – there are still real readers on your site, and we are ready to help you monetize them.

The post Your Next Visitor Isn’t Human: What Agentic Browsers Mean for Publisher Revenue appeared first on Monetag.

“Big traffic” sounds impressive, but many publishers underestimate its scale and earning potential. They rely on familiar ad formats, even though match-day data may reveal much more revenue. 

Let’s examine the numbers, see how major tournaments reshape traffic, and explore how to capture more revenue when the next match-day wave hits. 

How Much Overall Traffic Did the World Cup Bring?

We compared traffic before and during the World Cup across all sports sites on our network. The data covers publishers with different traffic volumes and monetization strategies, so individual results naturally vary. Even so, the overall lift was obvious from the tournament’s first days.

The World Cup started in June and ran from June 11 to July 19:

• Group stage: June 11 – 27
• Knockout stage: June 28 – July 19
• Final: July 19

We analyzed the data from June 11 to June 30 – and the numbers are impressive. In June 2026, sports sites on our network served 17.1 billion ad impressions. Over the 20 days of tournament football alone: 15.2 billion impressions. In other words, nearly 90% of June’s sports traffic came during the World Cup.

Case studies

Score Big: How Sports Publishers Can Profit During Major Sporting Events

June’s overall figures show the scale, but a closer look makes the tournament’s impact clearer. Let’s examine the days before and during the World Cup. 

Here’s what we did. We compared two periods:

• June 1–10 – before the tournament;
• June 11–30 – during the tournament, including the group stage.

The chart below shows how impressions and publisher revenue changed between the two periods.

During the group stage, traffic was well above the pre-tournament average. This is what the comparison showed:

192 million impressions versus 761 million. Pretty impressive, right?

And that’s without site owners changing a thing in their settings. The spike came entirely from an influx of football fans visiting sports sites to read analysis and reviews, chat with other fans, or follow the latest match updates.

Tutorials

Interactive Traffic Spike Calendar 2026 for Publishers: Plan Smarter and Earn More

But growth in impressions was not the only thing the numbers revealed. The most interesting part comes next. There’s a second thing in the data, and it’s less obvious: the price of a match-day impression behaves nothing like its volume. We’ll go through it in detail and show where the room is.

Peak Tournament Day vs. a Regular Day

So, how high can traffic climb in a single day? Before we get to the peaks, one thing worth ruling out: this was not just a busy summer. May looked like any other month on our network, and the first ten days of June looked like May. The tournament is the only thing that changed.

Then, we compared the traffic volume on each tournament day with the average for a typical June day. Let’s look at the increase recorded on the busiest days of the month.

The tournament created several major traffic spikes. The strongest day was June 13, when sports sites served 1.49 billion ad impressions, 7.7x the volume of a regular day. Across the seven busiest days, traffic averaged 5.9x the normal level.

Ioannis Giouroukakis, Head of Publishers at Monetag:

Hourly Traffic Inside the Peak Day 

So, what does a typical tournament day look like when several matches are played? According to our data, the biggest day of the group stage was June 13.

The following matches were played that day:

• Qatar 1-1 Switzerland
• Brazil 1-1 Morocco
• Haiti 0-1 Scotland

Understanding exactly why this day became so special would require a separate match analysis. Still, we can assume that the ‘Brazil vs. Morocco’ match played a major role. Five-time world champions Brazil faced the 2022 World Cup semifinalists, promising a tough test for both teams in the very first round. 

In the U.S., the match drew 10.02 million viewers on Fox, the biggest audience on record for a World Cup group-stage match without the U.S. team on English-language television. On Telemundo, it drew 7.9 million, a figure Nielsen revised down from the 11.2 million reported at the time.

For the main chart, we compared June 13 – the tournament’s biggest day – with June 2, a regular day before the tournament. We tracked both days hour by hour.

Case studies

How to Monetize a Sports Fan Website in Brazil and Earn $630k+ [Case study]

The biggest traffic spikes came around the daytime matches, particularly the highly anticipated Brazil game. Interest likely began building before the match and remained high between fixtures. By the evening, traffic was already slowing as fans left bars and returned to their usual activities.

It pops right away that one peak hour on match day generated a massive 356 million impressions, 1.9x the 192 million of an average pre-tournament day.

In other words, traffic was not spread evenly across the day, but packed into a short window. Just five to six hours around the matches produced about 71% of the day’s impressions, while traffic outside this window could be lower than usual. The busiest hour on June 13 brought 145x more traffic than the quietest hour that day.

Ioannis:

But here’s the strange part. While traffic was climbing, the price of an impression was moving the other way.

On June 13, the average CPM inside the match window ran 52% below the quiet hours of that same morning, on the same sites. The traffic arrived, and the price of serving it dropped by half.

It’s not a one-day effect either. Across the whole tournament window, CPM ran 11% below the pre-tournament baseline, and on the seven busiest days it was 19% below.

Look at that again: The traffic went up several times over, and the price per thousand impressions went down. 

Why?

Case studies

[Case Study] Sports Traffic From Telegram: $3 510 in One Football Season

Why the Price Falls Exactly When the Traffic Arrives

The first thing to check is whether this is just a mix effect. Maybe match days simply bring a bigger share of a cheaper format, and the average gets dragged down without anything really changing.

So we looked inside each format separately, on the same day, match window against the quiet hours of that morning.

The price fell in every single format. The same ad slot, on the same site, on the same day, was priced 34% to 66% lower during the match window than five hours earlier. So this isn’t the mix moving around. It’s demand.

Case studies

$5,000 Per Month On a Sports Fan Website: Another Brazilian Secret [Case Study]

Here’s how it works. Impressions arrive faster than the usual set of advertisers can absorb them. The more suitable formats are enabled, the more advertisers can buy the traffic, and the closer revenue growth can get to traffic growth.

Ioannis:

Imagine that popunder is the only format on a site. Traffic surges, but demand is limited. Once advertisers have bought as many impressions as they need, the rest may sell at lower rates or remain unfilled. Meanwhile, Vignette ads are sitting on the sidelines.

Ideally, revenue can grow almost as fast as traffic. The actual result depends on advertiser demand, GEO, rates, traffic quality, and enabled formats.

Ioannis:

Ad Formats That Grew Most 

You’re probably already thinking about how to build the ultimate setup to capture all that extra traffic. First, let’s see how different ad formats performed from June 11 to 30, 2026.

Now for a closer look at each format.

Popunder and Direct Link – the absolute revenue leaders, generating 90% of total revenue between them. Our recommendation: any serious match-day monetization setup should include both. That’s the absolute baseline.

In-Page Push is 91% of the total impression volume on sports sites during the tournament window. Although it generated less revenue, it played a crucial role in covering the traffic surge. Once Popunder demand reached its limit, In-Page Push monetized impressions that might otherwise sell at lower rates or remain unfilled. That makes it a strong choice as an additional monetization layer.

Vignette led in impression growth, responding faster to the traffic spike than any other format. Its daily impressions increased 6,8x – the largest jump of all. This makes it a strong format to activate before match day and catch the incoming wave.

Subscriber Growth on Match Days 

A major event delivers more than a single traffic spike, and the numbers prove it. Match days are the fastest window you will get for building a subscriber base: on peak days, sports sites collected subscribers 2x faster than in the baseline week, and on Champions League final day, 7.8x faster than on a normal day of that same week. The match ends; the subscriber list does not. 

Ioannis:

Opportunities Beyond the World Cup 

You may be thinking: is it really worth optimizing an ad setup for an event that happens only once in four years? Absolutely. Major traffic spikes are not limited to super-global tournaments. Take the Champions League: it runs every year and delivers quite similar results.

For this comparison, we selected test data from sites that fully implemented our recommendations. One Champions League match generated as much traffic as a major World Cup day: about 904 million impressions against the 928 million to 1.05 billion recorded on the busiest World Cup days. In this case, revenue grew at exactly the same rate as traffic – 7.2x.

Ioannis:

Check Yourself: How to Avoid Missing Revenue?  

So what’s the move? What should publishers do to earn more from a traffic surge? Here are our recommendations. Here are the recommendations.

1. Check the site itself, not just the ad setup. Make sure your servers can take several times the usual load before the first whistle. As Ioannis puts it, the publisher has to be ready to receive the spike: users are looking for a place to follow their game, and if they land on a site that’s lagging or buggy, they will move on.

2. Turn on what’s currently disabled. If any format is off, part of the spike goes unmonetized. As we saw earlier, revenue during the tournament increased by 3.3x- 3.6x across all formats – not just one of them. Each format contributed its share. 

3. Keep Popunder and Direct Link always ON. They perform well on regular days and generate up to 90% of revenue over the tournament window.

4. Add In-Page Push during major events. It can monetize extra impressions when demand for Popunder and Direct Link reaches its limit.

5. Don’t expect your CPM to rise along with the traffic. It usually goes the other way: 11% below baseline across the tournament window, 19% below on the busiest days, and 52% below during the match hours themselves. Revenue on a peak day grows through volume, not price. Worth knowing in advance, otherwise you’ll check your CPM after the final whistle and think something broke.

6. Make sure your setup is ready for short bursts of traffic. Traffic arrives in a tight window: five to six hours around the matches account for 69% of the day’s impressions, and one peak hour outperforms an entire regular day.

7. Grow the subscriber base on match days. As we have seen, subscriber collection ran 1.4x faster across the tournament overall, 2x on the seven busiest days and 3x on opening day, and 7.8x faster on Champions League final day against that week’s own baseline. 

8. Plan ahead. Use the match schedule to find likely peak days and the games that may attract the most attention. 

Tutorials

How To Monetize Returning Users vs One-Time Visitors

Quick Summary

You already know when the next big match is; the schedule comes out months ahead. So the traffic isn’t going to catch you off guard, and our side of it is handled anyway: advertisers book their budgets long before the tournament starts, the formats are already in your dashboard, and we scale capacity ahead of the fixtures we can see coming. 

Case studies

What about some Tier-1 traffic and $7,000 for a Pakistani Sports Fan Website? [Case Study]

The rest is on you, and it isn’t much. Switch on the formats you’ve got turned off, make sure your site won’t fall over when five times the usual crowd shows up, grab subscribers while people are actually there. And don’t go poking at your settings once the match kicks off; that’s the worst possible time to find out something broke. 

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The post We Analyzed 15 Billion World Cup Impressions: Is Your Site Ready for the Match-Day Traffic? appeared first on Monetag.