Three independent figures frame ad fraud in 2026: Juniper Research put the cost near $84 billion (22% of ad spend), Imperva measured bots at 51% of web traffic, and the ANA found only $439 of every $1,000 of programmatic spend reaches a real consumer.
Invalid traffic splits into two classes. GIVT (declared bots, data-centre traffic, crawlers) is identifiable from a list and gets filtered by signature. SIVT imitates humans and can only be caught on behavioural and consistency checks.
Google filters obvious invalid clicks and credits some back, but it is opaque and conservative on sophisticated bots. A detection tag scores sessions, and ClickLens turns detected bots into IP and placement exclusions synced to Google Ads.
Automated bidding buys more traffic resembling past converters, so a single fake conversion becomes a daily training signal that keeps spending. Bots made up 51% of web traffic in 2024 (Imperva), and each automated conversion teaches the algorithm to find more like it.
Conversion fraud is bots completing the actions you optimise for: form fills, sign-ups, purchases. Bots made up 51% of web traffic in 2024 (Imperva), and a fake conversion trains your bidding to buy more of the same.
A conversion pixel fires the instant a form submits or a purchase completes. It has no model of whether the actor was human. Bots made up 51% of web traffic in 2024 (Imperva), and a pixel counts every automated conversion as real.