Five ways to stop feeding bots in Yandex’s ad network
Practical campaign, audience and form-protection steps that reduce low-quality clicks and keep automated traffic from training ad algorithms.
Research and case studies on bots, click fraud, website security and traffic quality.
Practical campaign, audience and form-protection steps that reduce low-quality clicks and keep automated traffic from training ad algorithms.
A technical investigation into how exposed services and infrastructure patterns can reveal links between automated online activity.
A look at how to document an incident, distinguish evidence from headlines and communicate clearly while an attack is in progress.
How bot farms imitate conversions, influence campaign optimisation and consume budget without generating genuine demand.
A practical method for building suspicious-traffic segments, testing exclusions and measuring their impact without changing every setting at once.
Why VPN use alone should never decide whether a visitor is blocked, and how network and browser signals can be evaluated in context.
Not every traffic spike needs expensive mitigation. This article explains how to identify the type of load and protect the right layer.
A review of proxy signals, provider data and the technical traces a connection may expose without treating a single indicator as proof.
A practical growth mechanic for exchanging a clear benefit for a subscription and turning that first contact into a useful customer journey.
Why an ad platform’s internal filters do not replace the advertiser’s own traffic-quality analysis after the click.
An approach that raises the cost of human-like automation while keeping verification invisible to genuine visitors.
How DNS-level filtering can protect content and analytics before an automated request reaches the website.
Click fraud is not always software. This article examines incentivised human traffic and the patterns it leaves behind.
A case-led method for identifying suspicious visits, validating them with session data and improving campaign decisions.
An experiment showing automated clicks on links that genuine users could not see, with a measurable impact on ad spend.
A map of the automation ecosystem: tools, proxies and behaviour scripts that keep adapting to advertising-platform rules.
Why more clicks do not always mean more demand, and which post-click signals help reveal low-quality placements and bot traffic.
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