When you get more impressions, clicks, and visits, it might seem like a sign of success. Well, yeah, the campaign might be taking off in performance, but does it pay off in cash? A spike in traffic might not only be a sign of better performance, but also an indicator of fraud.
Invalid traffic, or fraud traffic, whether from click farms, malware-infected devices, or automated scrapers, will cost marketers around $170 billion by 2028. That said, invalid traffic affects not only the obvious financial side of your campaign.
Bad-quality traffic poisons the data you use to make informed decisions about the campaign’s future. Needless to say, it is impossible to distinguish truly engaged users from bots emulating them by looking at data charts alone.
And that cascades into time loss. Chasing leads generated by form-filling bots and wasting hours on dead-end contact details will drain away a more valuable resource than money: your time.
Invalid traffic is a silent and very dangerous digital marketing killer, normalized as a cost of doing business online. However, the true cost is never just about stolen clicks; it is about your time, your money, and your efforts going down the drain.
Fraud traffic explained
Fraud, bot, incentivized, and generally invalid traffic is bad, and it should be avoided—we all know that. The question is what exactly makes traffic invalid or fraudulent. The answer to this question is not as simple as it might look. You see, invalid traffic can be both laughably straightforward and unsettlingly sophisticated.
Bot traffic
The first mentioned are basic bots run from cheap data center servers. They are designed to follow repetitive, simple actions, such as clicking on URL links over and over again. It is relatively easy to spot them: identical screen resolutions, no mouse movement, session durations measured in milliseconds. Still unpleasant and frustrating to deal with, but overall seemingly easy to tackle in 2026.
Malware programs
Then there is a next level of fraud that involves malware programs to simulate human behavior. The thing is, the repetitive scheme with bots works only because of the sheer appeal of volume, which quickly wears off when no real conversion happens.
That’s why fraudsters now route their traffic through millions of compromised devices, such as phones, smart TVs, and routers, all infected with malware. So when your ad loads on a site, it triggers to render invisibly in the background of one of these hijacked devices. And that counts as a view, even though the user never actually saw anything.
Click farms
And now, as a cherry on top, we have real human bots. Essentially, those are human click farms across parts of Southeast Asia, Eastern Europe, and beyond. There are rows of low-wage workers sitting in front of devices, manually clicking paid links, scrolling through feeds, installing apps, and even filling out lead-generation forms.
These workers are paid a ridiculously small amount per action to make them fill out a thousand forms with real-looking but fictional personal details in a day. This type of invalid traffic is the hardest to detect because their actions are human-like, as they are humans indeed, just with no real intentions, obviously.
The price of fraud for digital marketing
Putting a price tag on the consequences of fraud is not that simple. Of course, we have general numbers, actually high numbers that represent how much invalid traffic costs digital marketing every year. For example, in 2018, it was determined that total daily spending on fraud climbed to $17 million. And in 2023, the market lost $84 billion to fraud, which is 22% of total online ad spending at that time.
Brutal numbers, and yet the most unsettling insight is not the numbers themselves, but rather the predictions. As we’ve mentioned earlier, by 2028, digital marketing is expected to lose twice as much: $170 billion. And this is just the money talk, no effort and time accounted for.
For every dollar taken by fraud, there is an additional fee in chasing fake leads, creative budgets optimized for fake engagement, retargeting budgets served to nonexistent interest, and a slow loss of trust in metrics. The market isn’t losing money alone to fraud; it’s losing its ability to know what a real customer is worth.
Advertisers and publishers vs. invalid traffic
It is widely believed that invalid traffic is an advertiser’s problem. And the misconception is understandable: advertisers pay for their ad to be seen, only to be scammed by bots, malware-infected devices, or click farms. And while that’s not wrong, it’s also incomplete.
We know the drill with advertisers: if invalid traffic enters, the data is unusable, budgets drain without any actual results, and time and effort are spent for nothing. The thing is, even the most successful campaign can be dismantled beyond saving, if the fraudulent traffic was not detected in time.
With fraudulent traffic, publishers sometimes take even greater personal risks. Yes, publishers don’t pay for fake clicks; instead, they’re experiencing something called “domain spoofing”. Now, domain spoofing is a type of cyberattack in which a legitimate website or email gets impersonated and used for fraudulent activities. Essentially, the publisher’s identity is stolen to either sell something else entirely or use the name for a scam to make money. When the scam ad appears on a spoofed website right next to a brand’s perfectly normal ad, publishers lose not only their revenue but also audience trust.
But even without going to such extremes, publishers are paid to provide access to real users, not bots. Once advertisers detect that a particular website is crawling with bots, well… they won’t advertise there any longer, which ruins the whole advertising ecosystem.
Digital marketing is a shared space; every upside and downside affects both parties. Invalid traffic is a concern for advertisers as much as it is for publishers. Every percentage point of fraud removed saves budgets, time, effort, and trust for everyone in digital marketing.
How ad networks tackle fraud
Top-tier ad networks begin their anti-fraud measures long before the campaign even starts. Most of those networks have precompiled whitelists of traffic sources that have been thoroughly vetted and proven safe. In addition, many tailor their whitelists to specific verticals and GEOs.
Pre-bid checking algorithm
There is also a pre-bid checking algorithm. This algorithm performs a quick scan: the IP address to check whether it appears in known bot registries and data centers, the user agent to flag mismatched or spoofed device signatures, and the domain against blacklists of sites with a history of suspicious traffic patterns. That algorithm works quickly and helps determine whether it is worth answering the bid in the first place.
While pre-bid is fast, it is also not very deep, and that’s where ad networks switch to post-bid.
Post-bid checking algorithm
Essentially, the post-bid algorithm is a machine learning model that detects suspicious behavior after the action. The post-bid looks for signs of bots, click farms, and spoofed domains, such as cursor trajectories, devices that visit 400 pages in an hour, or a “user” who loads every ad but ignores all content.
And while it seems like the safer, the better, the reality is a little more complicated than that. Ad networks make money every time an ad loads, and every false positive, aka a real user blocked by accident, is a denied revenue for a publisher. So fighting against fraud in ad networks is not really about blocking every slightly off-chart source; it is a careful work of balance.
How RollerAds fights invalid traffic
Taking into consideration that there is no one single metric that can detect fraudulent traffic alone, the RollerAds team has come up with a set of 20+ technical metrics and a bunch of performance metrics. The fraud engine evaluates each source against all others to determine whether the traffic source is valid. As a result, approximately 25% of incoming traffic is filtered out before it reaches advertisers
Now, the first step is what you would’ve expected from any serious network: emulation patterns, mismatched time zones, signs of hijacked devices. Those that get caught are blocked before they ever reach an advertiser’s campaign.
Then, the secret monitoring part begins. More than ten of those metrics are directly tied to performance against the CPA goals that advertisers actually care about. A source can pass every technical audit with perfectly clean headers and still be shut off if the humans (or what should be humans) never complete a meaningful action. If the traffic source looks ideal on paper but still delivers no results without a reasonable explanation, it can still be blocked due to the mismatch.
This fraud detection never really stops; it runs constantly in the background to ensure safety not only in the first few stages of the campaign but throughout its entire life. If anything comes up, no one waits for the advertiser to manually disable the source; it is automatically banned, sometimes before the advertiser even notices a blip in their reports.
Closing words
Fraud tactics evolve, but so does the defense system. With the right ad network, invalid traffic sources that fooled the machine yesterday will never pass today. But also, the right network will ensure to never cut a real human source just because it does not behave human enough.
RollerAds constantly updates its metrics and trains its algorithms to clearly identify where invalid traffic is coming from and where the real audience is. It never stops halfway satisfied with the first few rounds of anti-fraud diagnostics. Traffic quality always has been and always will be our priority.
If you’re looking for traffic that actually does what traffic is supposed to do, arrive with curiosity, engage with a pulse, and convert like a human being, reach out. Real audiences are still out there, and we’d rather help you connect with them than add to the noise.
