Lowering Ban Rates: Is anyone else using automation for "Human-Like" warming?

Hi everyone,

I’ve been diving deep into account infrastructure lately, specifically focusing on how to beat the aggressive detection AI we're seeing in 2026.

I noticed that standard "farming" isn't enough anymore. Even with good residential proxies, accounts get flagged if the browsing pattern is too linear or static. To solve this, I’ve been developing a workflow (using n8n and Python) that simulates more chaotic, human-like behavior: varying scroll speeds, random news reading, and multi-site cookie building before even touching the Ads Manager.

My goal is to reach a higher "Trust Score" before launching any campaigns.

I’m curious: 1. What’s your current success rate with aged vs. freshly warmed accounts this year?2. Are you guys still relying on manual warming, or has everyone shifted to automated browser fingerprints?

Would love to exchange some insights on what's working for high-spend stability right now. No selling here, just looking to discuss the tech side of ad infrastructure.
Cheers!

Pierr1 said:

or has everyone shifted to automated browser fingerprints

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You can still automate account warming, but creating a vast enough fingerprint lib to make sure each running account is truely running isolated & has a unique print is quite the amount of work to build.

exhosne said:

You can still automate account warming, but creating a vast enough fingerprint lib to make sure each running account is truely running isolated & has a unique print is quite the amount of work to build.

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Exactly my point, @exhosne . The challenge isn't just running a script; it's ensuring that the fingerprint library is diverse enough to avoid cross-contamination. Most people fail because they use 'off-the-shelf' fingerprints that platforms already recognize.

I've been working on a logic that randomizes hardware canvas and WebGL parameters for each profile within the automation flow, so they look like entirely different machines. It’s a lot of work to set up, but once the 'isolation layer' is solid, the stability is on another level.

Are you seeing more flags related to the fingerprinting itself or is the behavior pattern (activity) still the main trigger for you?