Youtube CTR Bot Help Request

lightgust

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Hello everyone I have a very advanced undetectable youtube ctr and viewbot I have built but am running into some issues and am looking for some guidance. It behaves 100% humanlike, browses, websites, google searches, watches random youtube videos from homepage/suggested/search even random videos on random channels, all human like clicks random mouse moves etc, but when I try to send viewers to boost one of my videos, only about 30-60 views count, then no more are counted again. Those views end up sticking and some maybe drop off after 2 weeks, but I have over 1000 gmail accounts all on this setup but cant seem to make it work, would love some insight or help!
 
Not sure if you're using proxies or not but the IP address matters IMO.
Also maybe you should try different browsers if you're using browser automation for that.
 
Human-like mouse movements and random browsing are only 10% of the game. If YouTube stops counting after 30-60 views, your bot is bleeding its identity, or your IP subnet is completely scorched.
YouTube’s anti-fraud system doesn’t just look at how you click. It looks at hardware fingerprints (Canvas/WebGL), WebRTC leaks, residential proxy quality, and the historical trust score of those 1000 Gmail accounts.
If you are running this on datacenter IPs or cheap shared proxies, Google instantly drops those views into a black hole to protect their advertisers.
You aren't just simulating clicks; you are fighting Google's security team. Stop focusing on mouse movements and start focusing on flawless browser environment isolation and premium residential proxies.
 
It might be worth focusing on improving click-through rate and retention organically. In my experience, those metrics tend to have a much bigger impact long term.
 
How you built an undetectable bot if its getting detected lol. You don't ahve a team of programmers, and are running up millions in hours programmed to be able to compete against large tech and outsmart them. Its like a 6 month baby, fighting against Mike tyson at his peak, lol its unbreably naive that every day I read people who don't have a business or any form of ethics are trying to spam, and get past big tech that is armed with shit like mythos, and more, and here you are with your little python app or whatever... lol Good luck wasting loads of time. Tell us how its going in a year! (why you think you never hear from people 'ahead' of you...?" lol
 
Hello everyone I have a very advanced undetectable youtube ctr and viewbot I have built but am running into some issues and am looking for some guidance. It behaves 100% humanlike, browses, websites, google searches, watches random youtube videos from homepage/suggested/search even random videos on random channels, all human like clicks random mouse moves etc, but when I try to send viewers to boost one of my videos, only about 30-60 views count, then no more are counted again. Those views end up sticking and some maybe drop off after 2 weeks, but I have over 1000 gmail accounts all on this setup but cant seem to make it work, would love some insight or help!
Can you share demo?
 
youtube fingerprinting is insane nowadays, your bot might do human actions but yt can easily detect browser footprints like webgl, canvas, or proxy leaks if you use same pattern for all 1000 gmails. if views stop at 30-60 it means the algorithm flagged the traffic source or the watchtime pattern as automation. try changing the browser profiles and stagger the views slowly instead of blasting them at once.
 
Views from artificial setups rarely stick because YouTube audits traffic. Real growth comes from good content, SEO, thumbnails, and sharing with genuine audiences.
 
youtube is not only checking mouse move and watch time. if traffic source/account pattern look fake, views stop counting. bot views are waste imo
 
I’d like to ask about a few points you may have overlooked.

Do all the profiles you created use the same browser version?
You mentioned TCP and TLS, but Google uses HTTP/2 and QUIC protocols for sign-in. Have you taken this into account?
Are your Canvas and WebGL fingerprints consistent with the browser?

Also, do you perform any keyboard-based micro-actions, such as adjusting the volume or rewinding?
 
If YouTube is only counting the first 30–60 views, I’d stop looking at the “humanlike” part and start looking at the traffic quality. YouTube doesn’t just care about mouse movement and watch time. Artificial traffic can look convincing on the surface and still get filtered later
 
honestly if you are using cheap datacenter proxies that is probably the main issue. google knows the ASN of every hosting provider and immediately flags traffic from them. even if your browser fingerprint is flawless, if the IP reputation is zero, the view gets filtered. plus new gmail accounts with no real search history or cookies on other sites look suspicious anyway. trying to emulate a real user profile takes months of organic history, not just random clicks before watching. probably not worth the effort tbh
 
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