Device fingerprinting
Browser, OS, screen and hardware traits expose emulators, headless browsers and spoofed devices.
Separate real users from bots, scrapers and click fraud in real time — with detection built on 2 billion analysed clicks.
At a glance
Bot detection software identifies automated traffic and separates it from real human visitors in real time. It scores each visit or click on signals a browser and analytics tool can't see — device fingerprint, IP and network reputation, and behaviour — then lets you exclude the invalid traffic automatically.
It matters because the scale is large: across 2 billion clicks in the Opticks Ad Fraud Report 2025, invalid traffic ranged from 2.18% on search to 15.9% on native ads, and the large majority of detected bot activity was bad-bot traffic with no genuine intent.
How it works
No single signal catches a modern bot. Effective bot detection scores many signals together on every request:
Browser, OS, screen and hardware traits expose emulators, headless browsers and spoofed devices.
Data-centre ranges, residential proxies and IP reputation flag traffic that hides its origin.
Mouse movement, scroll, timing and navigation reveal scripts that don't act like people.
Models trained on known fraud across billions of clicks catch new patterns a static rule would miss.
Buyer's checklist
The benchmark
| Channel | Invalid traffic rate |
|---|---|
| Native advertising | 15.9% |
| Programmatic / display | 15.43% |
| Social | 10.61% |
| Affiliate | 9.09% |
| SEM / Search | 2.18% |
Opticks deploys a detection tag that scores every visit and click in real time, then prevents the invalid traffic from draining your budget.