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01.09.2026 0 11

Ad fraud explained: Types, Detection, and Prevention

When working in digital advertising, there is a risk of the budget being wasted, or even worse, stolen. Now, we don’t say that it necessarily is, but the reality check implies that fraud and malevolent actors are there, looking for their next victim.

Fraudulent actions and tactics get more subtle and sophisticated. It’s no longer just about bots with traceable, predictable patterns, but rather about full-scale operations aimed at mimicking real users as closely as possible.

Detecting fraud can be difficult if you’re alone. But when you work with an ad network, your chances of spotting and eradicating invalid traffic grow bigger. In this article, we’ll tell you more about fraud types, ways to counter it, and why RollerAds is your best ally on your way to profitable and efficient campaigns.

Fraud explained

There’s no denying that invalid traffic is a problem, unless you’re on the fraudsters’ team. But what are the criteria for invalid traffic, what does it look like? Fraud is a complex term, and there are multiple subtypes of bad traffic: some are easier to detect than others.

Simple bots

Bots are one of the most well-known forms of invalid traffic. They are running off cheap servers, designed to repeat one task endlessly (hammering the same link, for instance). In 2026, it's almost boringly easy to recognize their patterns: frozen cursors, identical screen sizes, page visits that barely last a second. Even though bots are more of a nuisance than a serious threat nowadays, they can still eat through at least a part of an affiliate’s budget.

Malware-driven fraud

If only fraudsters relied on raw volume, things would be so much easier. Unfortunately, they have their ways to infect users' devices with malware, from phones to routers and smart TVs, which takes things to a different level.

A hijacked device can load up an ad in the background without actually being shown to a real human. That still counts as a “view,” and you have to pay for the impression, if there are no guardrails in place.

Click farms

The most unsettling type of fraud, however, is click farms. While the previous two are unpleasant to say the least, they are still relatively easy to catch due to their technical nature. But when a scheme involves real people, it becomes a whole new story.

In parts of Southeast Asia, Eastern Europe, and elsewhere, massive click farms employ rows of low-paid workers. They manually click ads, scroll feeds, install apps, and fill out lead-gen forms with convincing but entirely fictional data. The actions are considered human because the operators are indeed human, just operating with zero genuine interest. It’s a good example of incentivized traffic.

RollerAds vs. ad fraud

No single metric can spot fraud on its own, so RollerAds built a detection system that relies on 20+ metrics and a set of performance indicators. Each traffic source is measured against the rest, resulting in roughly 25% of incoming traffic never even reaching advertisers. Yes, that’s just how much bad-quality traffic there’s online.

The first line of defense is somewhat universal across serious ad networks: we look for emulation patterns, mismatched time zones, and signs of hijacked devices. Anything that ticks these checkboxes gets blocked before it touches a live campaign.

Then the hidden monitoring begins, involving over 10 of these metrics that are directly tied to various CPA. A source can pass every technical inspection with flying colors and still get cut if the “users” never complete a meaningful action. When traffic looks flawless on the surface but delivers nothing concrete for no solid reason, the mismatch alone can trigger a ban.

This whole process never really stops, humming along in the background for the entire lifespan of a campaign, not just the early stages. If something foul appears, the source is shut down automatically, often before the advertiser even notices a tiny dip on their dashboard.

How to detect fraud in your campaigns

Spotting fraud early is half the battle. If you know what to look for, you can catch invalid traffic before it affects your numbers. Below are the red flags that signal something’s off with your traffic.

Let’s break them into two categories: direct signs (strong indicators of fraud) and indirect ones (useful hints, but often point to funnel issues instead).

Direct signs: when fraud is likely

  • Unnatural pattern and repetition. That’s when knowing the nature of bots comes in handy. If you see click floods in tight bursts, actions spaced at even intervals, or multiple hits from identical IPs, devices, or user agents, you know the data comes not from real users.

 

  • Geography that doesn’t add up. Let's say you targeted LATAM, but then visits are pouring in from South Asian countries. Data center IPs, VPNs, proxies, or locations that clash with the campaign setup normally don't appear in the data unless there is a good reason. And chances are the “good” reason is invalid traffic.

 

  • Odd technical details. Modern users are typically up to date. So trust your gut when you see old or obscure browsers (including legacy versions), blank or mangled referrers, cookie-cutter screen resolutions, JavaScript or cookies turned off, user agent strings that look off, and so on. With enough online experience, you’ll literally start to feel when a user is using abnormal gear for browsing (if you haven’t yet).

 

  • Uneven performance across placements. Sometimes all you have to do is cross-reference your own data. One subID, zone, or placement wildly deviates in CTR, CPA, dwell time, or post-click behavior. Compare sources within the same attribution window to spot the gap, and fish out the invalid traffic.

 

  • Conversions that look hollow. This, again, boils down to comparing normal user behavior to out-of-place tactics: Tons of sign-ups but practically zero email confirmations, profile completions, return visits, or payments. This often means simple target actions are being taken by non-engaged users.

 

Indirect signs: hints, not proof

  • Visits that barely last. Sky-high bounce rates, sessions lasting only seconds, single-page views with no scrolling, and cookie-cutter patterns that repeat across users. This could be invalid traffic, but it might also be a simple mistake in the targeting settings.

 

  • High clicks, near-zero results. CTR might look impressive, but registrations, deposits, purchases, and other meaningful actions are suspiciously low compared to standards. Again, a sign of a problem, yet not necessarily an invalid traffic problem.

 

Source: RollerAds blog

Don't rush to cancel the traffic source as soon as you see a single sign. Take a closer look, analyze, and cross-reference your data before taking a drastic action. One or two slips are not only possible, but actually happen from time to time; you work with real people after all. However, if the pattern continues or signs multiply, you'd better take action before you lose all your budget to fraud.

How to act if you suspect ad fraud

If you think you've run into ad fraud, there are a few steps you can take to counter bad traffic and malevolent actors.

If you're with RollerAds (or any reputable network), reach out to support or your account manager straight away. That's basically it, but you can help support shut down the bad traffic faster by doing the following:

  • Test the domains yourself. Make sure they load, redirect properly, and the links actually work. Walk through the whole funnel from start to finish.
  • Share your tracker stats, click logs (user agent, IP, etc.), and landing page CTR.

We can certainly investigate without tracker data, but having it gives us a clearer picture and helps us solve problems more quickly. 

By the way, setting up a tracker in advance and running it across all campaigns is always strongly advised. If you need help setting it up, we have a dedicated article with a step-by-step guide to configuring postbacks with the most popular trackers.

As we mentioned earlier, trustworthy ad networks care about their partners and their standing in the industry. They audit sources carefully before onboarding and don't knowingly sell invalid traffic.

Still, a bad source can occasionally slip through, so knowing how to respond is smart. Think of it like a fire alarm. Public buildings follow strict safety codes, yet everyone still knows the evacuation drill; the same applies here. Learn in advance or learn on the fly.

If fraud does hit your campaigns, the ad platform has every reason to help, because we’re in this line together. Drop a message to start our investigation. With the solid proof in hand, you’ll be covered financially, meaning that if something bypasses all the layers of defense anyway, you won’t be responsible for that. At the same time, we’ll make sure that such a source of bad traffic is blacklisted for good.

Closing words

Fraud in digital marketing might be somewhat common, but it’s not the norm. Reputable and trustworthy networks will never knowingly let invalid traffic through, nor will they leave you alone in case you stumble upon it in your campaigns.

It might occasionally slip through, since fraudsters don't really wait for networks to find another way to disarm them after all. But we never stop in our chase of perfection, and since we’re not there yet, if you receive bad traffic for some reason, you can be certain that RollerAds won’t put the blame on you.

Traffic quality always was, and always will be, the number one priority of RollerAds. We constantly review our defense systems and find more ways to make your experience as smooth as possible. And if that sounds good to you, join us and dive deep into digital marketing where fraud is not something considered normal.

 

This post is featured on the corporate blog RollerAds.
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