OK, we are here to the last part of the YouTube cycle, and it is algorithm or learning algorithm or
YouTube, learning, whatever you want to call, we have we can use a bunch of different name, but
it is actually an algorithm to be fair.
It will tackle itself is an algorithm entirely.
The entire loop is an algorithm.
But here, which is going to talk about the parts that learns from your video matrix and the part that
actually gives out the recommendation and ranks your videos accordingly.
So we are going to call this a learning algorithm.
So let us explore learning algorithm and how it is important for an entire team or the YouTube go cycle.
So what it does, it it learns user behavior across the YouTube, not just your channel, and matches
viewers to the videos.
So in this case, you care if it matches the viewers to your videos.
So that's what you want.
It analyzes and a lot of things and learns from it.
So it takes all the data and crunches the numbers.
It transforms everything into the numbers.
Your videos, it crunches data from videos coming from the description, your captions, your title,
your thumbnail, and like your viewers behavior, what they do, and then try to find the same people
who who are the similar to the viewers and to the people who in the past and do it the similar types
of videos as well.
And that's what it does.
And the second thing that I want to talk about this is, well, you might not like it, but it is absolutely
out of your control.
It is absolutely out of your control.
There is no cheating algorithm.
There is no defeating algorithm.
There's no tracking algorithm.
There is no nothing with an algorithm.
You need to understand it and work with it.
And you need to understand what it wants.
It wants the same as you for the people who watch your videos for as much and as long as possible,
it it wants exactly the same thing.
But you see, if your videos suck, if they are bad and people are just falling off and not watching,
a video algorithm will not promote you.
That's what it is.
There is no tricking algorithm.
And you should forget absolutely.
About controlling any part of an algorithm, because if you can if you will be able hypothetically,
if you were able to control algorithm for you, you will be able to do this.
But really short time, because it constantly evolves.
It constantly changes.
So you cannot control the flow of the river.
You can stop it and change its direction sometimes, but eventually it will go backward once.
So, yeah, just forget about controlling an algorithm and it is a deciding factor to reach new audiences.
Algorithm learns whether existing viewers enjoy the video or not, and after that it finds similar viewers
watching similar videos, probably who might enjoy the video.
That's what algorithm does get it in your minds?
That's what algorithm is.
It tries to match your views, your videos with the people.
That's what it does.
It's a glorified tinder where you have two genders, viewers and the videos.
That's it.
That's what it does.
Think of it like that.
And your YouTube game will suddenly change.
That's what it does.
And it is the main driver of the channel explosion's because no channel exploded by having amazing video
for search, because that's that's how videos are actually exploding with an algorithm.
It's getting information that, OK, this video is the thing that that's those million other people
actually enjoyed.
And I'm going to show them just that.
And it does.
And not not exactly one million at the same time, because algorithms just showed it to the small pool
of the people that increase the pool more and more and more and more until it will reach a critical
mass where there is no other new people who would like to watch the video, at least not at the moment.
But they will be in the future, but not at the moment.
That's what it does.
And that's why you want to learn what algorithm works for your videos.
Neumeister, you might ask.
Didn't tell us how the algorithm works.
Well, I did.
The entirety of the YouTube cycle is an algorithm.
Entire team focus on its elements and you're going to have a full picture, which is the entirety of
the whiteboard cycle and the main.
Think that this algorithm learning algorithm, once you see, is for the people to stay on your videos
for as long as possible, i.e. having maximum amount of watch time, that's what it wants.
Focus on that.
And last but not least, is doing by every part of the loop and derives every part of the loop as well.
This is the central core of the loop, the central cog.
Everything happening around it makes it rotate even faster.
And when it rotates even faster, it makes everything else rotate even faster.
Algorithms Learning Program, it learns from everything and gives the results from what it has learned
here where algorithm is right here.
It feeds from everything and it feeds everything focused on algorithm as a learning program, not the
thing that prevents you from growing, but the thing that can help you to grow.
Give algorithm as much information as you can about the way you think that video is good.
Provide them with a good description.
Provide your video with the good tags not necessary, but still provide the video with relevant title
not to click the title relevant title, create a good thumbnail algorithm will see that your impressions
algorithm will give you some impressions.
It will feed some impressions.
Some of your viewers, depending on your title and thumbnails, will transform to use algorithm, will
recall that seeing that if you have a high city mean that, OK, a lot of people are interested in that
and then share with you the more people, then it will watch how many people from those views will watch
the video all the way to the end or for how long they will watch if they see.
That's a lot of people are coming.
Your videos, a lot of people are spending a lot of time to the videos to say, OK, that's a good one.
That means that I can double down on this video and give it even more impressions, because I know that
I'm talking from the algorithm, because I know that these videos have a very good start, legis increase
impressions and impressions and see how much we can squeeze from it.
It also seems that a lot of people who are subscribers are coming from your watch time and subscribers
again drive the video and drive directly the views and for that reason, drive directly, watch them
and grows even more and more and more and more and more.
And again, critical mass where there will be no one else to show your video.
That's what algorithm does.
And that's my friends with how many?
Seven lectures we went through the entirety of the YouTube's growth cycle.
That's the things that you need to understand about actual YouTube growth.
Every single element here, Metters, every single element matters.
Most important is watch time, but every single element of all of those six elements matter.
So you need to focus on all of them and increase every single one of them, one by one, at least the
ones that you can affect and you practically can affect everything indirectly.
So try to affect everything indirectly.
The main is main thing is that provide value to your viewers when you have value in your video, when
your video matters and provides the value, whether it's educational, informational, entertainment
value, people are spending more time with your videos.
More time means more attention get.
And for that reason, algorithm favors brackets you and your videos and that's how you can explode.
You might not get the millions of views, but in the beginning, a few hundred or maybe in a few thousand
will suffice and will be enough fuel for you to continue growing and maybe have another explosion,
maybe another and another and another small explosions that will drive your channel propel to the stars
and allow you to reach the heights that you never expected.
Well, this was it about the growth cycle.
I'm going to see you in the next section, say they're.