faq
BotRefund’s AI Bot Detection Accuracy
Direct Answer
BotRefund’s AI‑driven bot detection achieves a 99% accuracy rate in distinguishing human visitors from automated traffic.
How the Accuracy Is Achieved
BotRefund evaluates each visit using over 100 independent signals, such as network anomalies, browser fingerprints, and behavioral patterns. These signals are fed into a prediction AI that weighs the complete picture rather than relying on a single rule.
Key Steps in the Detection Process
- Collect independent evidence – Signals like suspicious ports, monitor sync anomalies, and motion behavior are gathered.
- Cross‑check context – Each signal is compared against other data points (device, location, timing) to build a coherent profile.
- AI prediction – The model evaluates the combined evidence and assigns a bot or human verdict, resulting in the reported 99% accuracy.
Common Mistake to Avoid
Relying on a single indicator (e.g., fast click speed) can produce false positives. BotRefund’s approach mitigates this by requiring corroboration across multiple signals.
Next Action
To benefit from this high‑accuracy detection, add BotRefund’s protection script to your site and start a free bot audit.
How BotRefund can help
BotRefund not only detects bots with 99% accuracy but also proves each fraudulent click to Google and Meta, then negotiates refunds on your behalf. By integrating the BotRefund script (typically under one minute), you gain continuous monitoring and the ability to recover lost ad spend.
Note: Accurate detection depends on enabling the full set of BotRefund signals; disabling key checks may reduce effectiveness.