Traffic scoring signals: how networks separate real users from bot farms

Traffic scoring signals: how networks separate real users from bot farms

Networks analyze HTTP headers and TCP/IP stacks to verify identity. If a User-Agent claims Windows but the MTU suggests a mobile proxy, the traffic is flagged. Discrepancies between browser language and IP geolocation are immediate indicators of proxy usage.

Human behavior is naturally inconsistent. Real users scroll at variable speeds and take time to read. Automated scripts often show robotic precision, like clicking the exact same pixel coordinates. Scoring systems monitor the Time-to-Convert (TTC) to identify these patterns.

Event distribution is a critical signal. If conversions occur within seconds of a click, it suggests click injection. Healthy accounts show varied performance; a 100% conversion rate on a single Sub-ID is a major red flag that triggers manual review.

To keep your account safe, prioritize technical transparency. Avoid heavy obfuscation and ensure your traffic flow mirrors a genuine user journey to prevent being caught in automated filtering 🛡️.