Question

What is ad fraud, and how much of it is there?

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Answer

Any activity that generates payable advertising events — impressions, clicks, installs, conversions — without a genuine human being exposed to the advertisement. Estimates of its scale vary enormously and the honest answer is that nobody knows precisely, which is itself part of the problem.

The main forms:

Bot traffic, where automated software generates impressions and clicks, sometimes from residential proxies or malware-infected devices specifically to look like ordinary users.

Domain spoofing, where low-quality inventory is sold as if it were a premium publisher's.

Ad stacking and pixel stuffing, where many advertisements are layered on top of each other or rendered in a single pixel, so all are counted as served and none are visible.

Click injection and click spamming in mobile, firing clicks just before an install so the fraudster claims attribution for an organic download.

SDK spoofing, fabricating install events entirely.

Made-for-advertising sites, which are not fraud in the strict sense but are built purely to carry advertising, with scraped or generated content and a high proportion of the page given to ads.

Attribution fraud, the most insidious, where the fraudster does not fabricate traffic but positions themselves to be credited for conversions that would have happened anyway.

Why it persists. The supply chain is long and opaque, intermediaries take a cut regardless of quality, and — uncomfortably — fraud makes everyone's numbers look better. An agency measured on impressions has weak incentives to find that some were fake.

The defences: buying from verified inventory using authorisation standards that let publishers declare who may sell their inventory; third-party verification and viewability measurement; incrementality testing, which is the strongest defence because fake traffic cannot produce real lift; allowlists rather than open exchanges; and scrutinising suspiciously good performance, since unusually cheap and well-performing inventory is the classic signature.

The practical stance: treat platform-reported conversions as a claim rather than a fact, and validate against your own business outcomes.

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