When bad traffic hits the storefront, teams can misread conversion rates, campaign quality, country performance, and customer intent. That creates bad growth decisions even before fraud becomes visible.
Noisy traffic produces noisy decisions. Teams optimize against the wrong picture.
53%
of web traffic was automated in 2025, according to Imperva
47.9%
of AI bot traffic hit commerce, according to Akamai
3
high-signal areas merchants misread first: traffic, geography, and conversion quality
Earlier control. Clearer signals. Less downstream mess.
Give teams cleaner visibility into suspicious traffic patterns.
Reduce bot and abuse noise before it corrupts reporting downstream.
Support better decisions by making visitor quality more legible earlier.
Yes. If the traffic picture is wrong, growth teams can make the wrong calls on channels, landing pages, and market quality.
Not fully. Filtering helps reporting, but it does not control the abusive traffic itself or stop the operational noise it creates elsewhere.
Because traffic control is one of the few ways to improve the signal before the bad visits spread into multiple dashboards and workflows.
Free on every plan · no credit card · about 2 minutes
Guide
Broad guide for merchants trying to understand how bad traffic turns into fraud cost, manual work, and noisy data.
Read guideBots and VPNs
Operational guide for merchants seeing suspicious visitors, VPN traffic, scraping, and blocking failures.
Read guidePeak season
How BFCM, campaigns, and promo spikes compress response time and make bad traffic more expensive.
Read guide