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Fraud Types

Ad Fraud

Ad fraud is the deliberate generation of fake advertising activity, such as fraudulent impressions, clicks, installs, or conversions, to steal money from advertisers and ad networks. It exploits the fact that digital advertising pays out on measured events that can be faked.

How it works

How Ad Fraud works

Digital advertising pays publishers and partners for measurable events: an ad shown (impression), an ad clicked, an app installed, or a conversion completed. Ad fraud manufactures those events artificially so the fraudster collects payment for activity that involved no real, interested human. Because the entire supply chain runs on automated measurement, fake events that mimic real ones are difficult to distinguish at scale.

On the impression and click side, fraudsters run bots that load pages and ads to rack up billable events, stack or stuff ads into invisible or stacked slots so many impressions register from a single view, and operate domain-spoofing schemes that misrepresent low-quality inventory as premium sites. Botnets of compromised devices and farms of low-cost devices generate traffic that looks geographically and behaviorally diverse.

On the performance side, attackers target attribution. Install fraud floods app installs from emulators or device farms, and attribution fraud steals credit for organic installs through click injection and click spamming, firing fake clicks so a fraudster's network is credited for conversions it did not drive. Across all of these, the common tactic is to hide automation behind residential proxies, spoofed device identifiers, and reset or randomized environments so each fake event appears to come from a distinct genuine user.

Why it matters

Why Ad Fraud matters for fraud prevention

Ad fraud is one of the largest and most persistent drains in the digital economy, widely regarded as a multi-billion-dollar problem, because it siphons budget away from reaching real audiences and corrupts the data marketers use to optimize. Beyond the wasted spend, fraudulent traffic pollutes analytics, misdirects future budget toward the channels that fake best, and undermines trust between advertisers, networks, and publishers. For performance marketers paying on installs or conversions, attribution fraud is especially costly because it charges them for outcomes they would have gotten for free.

With TRACIO

How TRACIO handles it

TRACIO helps distinguish genuine users from fabricated traffic by identifying the device and environment behind ad interactions. Bot Detection flags the headless browsers, automation frameworks, and emulated environments behind fake impressions, clicks, and installs, while the Identification product recognizes when many supposedly distinct events actually trace back to one device or a tight cluster, exposing device farms and repeated spoofing. IP Intelligence surfaces the data-center and residential proxies and other anonymizing infrastructure that fraudulent traffic hides behind. Delivered with low latency, these signals help advertisers and networks filter invalid traffic and protect attribution so budget reaches real people.

FAQ

Frequently asked questions

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