@YoutubeGodFather your info is solid. May i pm for few questions ?
you can
I am managing 6 monetized channels in this same nitche and I don't see downsides of doing it
you may not necessarily notice it uness you are aware of the harcoded hidden views limit potential of a channel.
its known as traffic shaping.
it is impossible to balance views for the entire world of creators and audiences without having such pre defined limits assigned approximately for channels. or everyone would have unlimited exponential growth and spam scaling cannot be stopped.
but ofcourse once you understand how the platforms work you can bypass all these limits too.
this is why spammers work with tons of channels and bury their secrets.
when a channel has hit its suggestion algoithm cycle drop, they rest it and work with another newly bought channel, to extract maximum views and profits.
when their newly purchased channel arrives at the same problem/death/drop, after performing well for maybe 2 to 3 months, they rest it and purchase another channel and work with it.
when they complete the 12 month cycle of working with different channels, the resting period of the previous channels are already over, and their algorithm cycles "reset" .
so now they work on these rested channels again which are waiting with fresh view thresholds and their algorithms "reset' .
now they bot them again for few months until they die to farm millions of views from youtube recommendations.
example lets say channel A has a max capacity at its peak to pull 50M views per month.
like during its peak stages.
every channel will undergo algorithm cycles during its lifetime. you may have big growth followed by normalization and then a peak later on.
now while you start adding more monetized channels(lets say 5 to 10) to your device/adsense, you will expect to gain 30M to 50M views on each approximately right?
especially if you have the same strategy of content and method that works in the algorithm.
rest assured you wont gain that what you expect unless you are whitelisted in some way manually by google.
(thats where MCN adsense comes into play. join them to avoid throttling and you can scale otherwise run multiple adsense accounts in stealth using virtual machines.
every channel isolated in a virtual machine with different ip).
all of the other channels that you have, like the 10+ monetized channels, will probably get all the impressions and views distributed among them so that you can around 30 to 50M views combined in total rather than gaining 30 to 50M views each channel.
from a very small number of tests, this is the effect we noticed.
the moment we isolated all channels and made it look like each belonged to a different person , we had expected perfromance levels per channel.
30 to 50M views each.
since i have mostly tested kids niche and trends, where the views are high, itis easier to observe these effects.
since cashcow niches do not get exponential views like the kids niche, the tests were way harder to conduct to notice the difference.
larger sample size = easier to spot.
a lot of people who didnt notice this effect will continue grinding and wasting their time. "assuming" that this is youtube, "so our channels are not blowing up maybe because it needs time etc".
whereas in reality , you are throttled in the background.
if you didnt get results after isolating them , that would not cause you as much panic because there is always a chance to blow up at some point.
but running them together, they are already limited from the get go.
What happens if I do this from same device/ip/account:
- Build one channel and monetise it (good content with combined organic and bot traffic)
- Create second channel with same strategy
- Create third channel and so on...
run them on different ips and devices.
different adsense accounts and emails but same device is also useless.
same throttle.
because ip match, identity match, fingerprint match.
every channel has to look like it belongs to someone else.
to conclude, ive seen this effect mainly on monetized channels.
on non monetized ones dont ask me, since i didnt run extensive tests.
but from what we know they are mostly not effected.
)
