What many refer to as a “bot ban” is actually most often the result of accumulated signals in the anti-fraud system: fingerprint mismatch, actions following the same pattern, or excessive speed.
Essentially, IG/TG/FB anti-fraud is built on three levels:
– environment (device, IP, fingerprint),
– behavior (how the mouse moves, how delays between actions are formed, how different types of actions are combined),
– history/trust (age, content, variety of activities).
Imo if you only work with the environment (proxy, device emulation), you will be banned sooner or later. But if you add behavioral variation and gradually build trust, the account will live much longer, even on imperfect proxies.
Question for you guys: has anyone tried to measure the behavioral layer specifically? For example, not the number of actions per hour, but the “naturalness” of their combinations (like → view → pause → DM). It feels like this is where anti-fraud most often catches you, and not just on IP.
