Botnets (or other automated agents) posing as humans that view or click on display or video ads.
Stuffing ads or content into a tiny pixel, so that they count as served, but never have a chance to be actually viewed by a human consumer.
Also called ghost sites or pseudo sites, Ad Farms are fraudulent web properties that only exist to host a massive amount of ads without providing content targeted to a human audience.
An in-browser attack in which ads are forced onto a website, displacing the initial web page content or overlaying on top of existing content or ads.
Multiple ads are placed on top of each other, with only the top ad actually in view.
Admetrics analyzes and qualifies referrer data of domains and iFrames to assign the fraud risk on domain level.
Admetrics identifies fraudulent deliveries through techniques like ad stacking, iFrame stuffing, pixel stuffing and ad farming.
Admetrics leverages viewability tracking as an indicator for fraudulent traffic, for example identifying clicks from impressions that are not viewable or finding other common patterns of fraudulent impressions.
Admetrics maintains its own blacklists of compromised IPs or devices. Additionally, we use industry standard, real-time databases of compromised clients, IPs and notorious proxies.
Admetrics analyzes and qualifies incoming traffic for signals that indicate fraudulent intent, including spoofed user agents and browsers, abnormal behaviour or traffic patterns.
Admetrics differentiates between ad fraud botnets and benign automatic traffic (regular spiders and crawlers that are not employed to manipulate ad media).