For any organization running an online advertising campaign, invalid traffic (IVT) from bots is a massive and growing problem. To put a dent in the

Anura backs its 99.999% BAD classification accuracy with a financial remedy, making its claim fundamentally different from competitors’ performance statistics. Competitors typically publish accuracy or

Risk management is an important part of any business operation—especially since no business workflow is absolutely risk-free. Ad campaigns are no exception to this rule.

Agencies are under pressure to do more than they did a few years ago. A client may come in for paid search and then ask

TL;DR: A visitor is either fraudulent or they are real. There is no in-between. Yet some fraud and bot detection tools let you adjust their

Summer is still in full swing, but the back-to-school opportunity is already wide open. As parents and students move from browsing to buying, the publishers

TL;DR: The best bot traffic identification tools help enterprise marketing teams separate real visitors from bots before fraudulent traffic affects campaign performance, attribution, or lead quality. Look

Peo Persson, Co-founder and CCO at DanAds, shares how the FreeWheel integration and AI-first approach are helping premium publishers unlock new revenue at scale. DanAds

TL;DR: Anura’s claim of zero false positives is based on how it classifies traffic, not on marketing language. Anura only labels traffic as BAD when it has conclusive evidence

TL;DR: Lead generation fraud occurs when fake, low-quality, or unauthorized leads are submitted to advertisers through bots, fraudulent form fills, incentivized traffic, or deceptive marketing practices.