How to Beat the YouTube Algorithm EVEN MORE in 2021!

How to beat the YouTube Algorithm… YouTube just handed every creator EVEN MORE data on how to do just that by studying EVERY SINGLE VIDEO on your channel.

⏱️⏱️VIDEO CHAPTERS⏱️⏱️
0:00 — CHEATCODE UPDATED — How to FURTHER Beat the YouTube Algorithm in 2021!
0:23 — The Return Viewers data (Channel Level)
2:14 — The Return Viewers data (Video Level)
5:23 — How different videos change the data
7:22 — How different channels’ return viewer data looks

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#moresubscribers2021 #moreviews2021 #GrowYourChannel

=================== text video ====================

— If you want to grow a
successful YouTube channel

over a sustained period
of time to get viewers

to constantly flock back to your content,

time and time again, to unlock
the «YouTube Algorithm.»

There is only one graph, you
need to pay attention to.

(finger snapping)

Yes, I’m talking about
return viewers again.

This is why.

If you are a return
viewer yourself to vidIQ,

you might already be sick and tired

of me talking about this.

But well, you’ve returned yet again,

so you must still find all
of this somewhat interesting.

In a nutshell, this purple line graph

in the YouTube analytics
shows you when viewers

who have already watched
some of your content,

come back to watch something
else on your channel.

Now, obviously, logic dictates,

that when you publish a new video,

a certain number of return viewers

will come back to watch it,
which results in a spike.

But as you can see,

not all spikes are created equal.

In very basic terms, this
means that you the creator,

failed to meet that return
viewers expectations.

There are many reasons why a viewer

may watch one video,
(crowd cheering)

but decide not to watch the next.

It could be a different
video topic, a bad thumbnail,

or they found better content elsewhere.

So what you need to do,
in order to stop this

over a period of time, is to
increase audience loyalty.

And you do that, through consistency.

Consistently meeting
viewer’s expectations.

Which brings us all the way back

to that return viewers graph.

You can use this as a line
of audience expectation

or indeed satisfaction.

The higher it goes, the
more in tune you are

with your existing audience.

The lower it goes, the less you understand

about your audience’s needs.

Now this is to be expected.

You have a lot of figuring out to do

when it comes to
understanding your audience.

And it takes time for your audience

to get to know you.

But over time, and
we’re talking most here,

if you’re making data driven decisions,

your good days, and indeed your bad days,

will be way better than
what they were before.

So at a channel level, this data,

is really interesting to look at to,

gauge the health of your audience loyalty.

But I also said at the time of the release

of this tool, that it would be really cool

to have this information at a video level.

And now, we have.

It’s pretty easy to
find on the content page

in the YouTube Studio,

go to the analytics for a video,

and then go to the audience tab,

at which point you will see the new

and return viewers for just that video.

Now, since most of the return
views come in the first day,

I’m going to set the time
period to the first 24 hours.

And this, quite frankly,

reveals some fascinating data.

First of all, I’m astonished at just

how little new viewers we get
when we launch new videos.

We are pretty much relying exclusively

on people returning to our content.

Which means, as I’ve already said,

for the vidIQ channel,
it is absolutely crucial

that we meet viewer’s expectations.

I mean, no wonder small
channels find it hard

to get discovered on YouTube these days.

When a channel of vidIQ size

is only able to attract 600 new viewers,

to a video with 20,000 total views.

Anyway, let’s move on to
these 15,000 return viewers.

Who are they?

Well, you can actually get some insight

into this by going back

to the Overview analytic screen

and looking at the traffic sources.

Again, some really interesting stuff here.

The data here is telling me that,

of those 15,000 return viewers,

about a third of them are subscribers

using subscriber tools,

such as the feed and
notifications to watch this video.

Now, for you, return
viewers, I will admit,

this is a data proven counter argument

to everything I’ve been saying
for the last six months,

about Subscribers being an
outdated concept on YouTube.

I’m sorry, I ever doubted you.

I’m sorry, I hurt you.

Will you forgive me?

But hang on, hang on.

We still have a huge
number of return viewers

deciding to watch our content
based on recommendations.

And this leads us to
another critical insight.

If most of your return viewers,

irrespective of whether
they are Subscribers,

returned to your content,
based of recommendations,

well, that means that your content

is competing against everything else

that YouTube is
recommending to that viewer.

(bell bleeps)

All of which means, your video topic,

your video title and your video from now

are absolutely crucial to meeting

that return viewers expectations.

And just in case you didn’t know,

vidIQ has a tool in the Video editor page

that lets you compare
your title and thumbnail

against other videos that
already rank for a search term.

And you can see what your
video would look like

on a YouTube homepage and
even on a mobile device.

And this is all before you
even publish the video.

So if you’re asking the question,

does this video meet my
viewers expectations?

This tool, can start to answer it

before you even press publish.

Now, if you’re still
watching at this point,

I’m going to assume that you’re
a data nerd just like me,

and you found those insights
absolutely fascinating.

But that’s just one of 900 plus videos

on the vidIQ channel.

Well, I’m not gonna go into
every single one of them,

here are some of the other highlights

of what I’ve discovered so far.

This is an example of a video

that didn’t perform very
well for the channel,

both the return and new
viewers in that first 24 hours

are half of what they usually would be.

This is a learning opportunity.

Upon reflection, I think the thumbnail

lacked a strong and clear message.

And I don’t think anyone
is passionate enough

to care about the
wellbeing of YouTube SEO.

On the other hand, this video
performed well above average,

for the channel with more
return viewers coming back.

When I first designed the thumbnail,

I thought it was a little too simplistic,

but maybe that, combined with the title

really triggered the target audience

as well as teasing them with
the «Try This!» wording.

There’s a fear of missing
out intrigue here.

What’s also interesting,

is that this video had some extra legs

when it came to new viewers

a couple of days after it was published.

I think this is a reflection of a video

performing well enough for YouTube

to start testing it with
brand new audiences.

And based off of a performance of a video,

I made this followup piece,

which also turned out
to be a strong performer

for the channel.

All of this is clear evidence

that when you make data driven decisions,

you are more able to meet
your audience’s expectations.

Now, of course, it’s not
always about return viewers.

Sometimes the intent of a
video is very different.

Take this one about
copyright, for example.

It’s not exactly a sexy topic
for a YouTube growth video.

So it didn’t get that
many views to begin with,

but people always need
help with this subjects

and that’s where search comes into play.

It’s why this video today,

is getting more new viewers
than it did on day one.

And it’s also why the view curve

is bending up rather than down.

I love it when this happens.

It’s very hard to do considering

how competitive evergreen
search topics are,

but when you get it right, mmh.

And if you want to see
my facial expression,

when I make that noise, mmh.

Now of course,

when it comes to looking at the data

on your videos for your channel,

it’s probably gonna differ quite a lot

from the vidIQ channel.

So let me share with you a couple of

weird and wonderful examples
of that return viewers metric

from other channels on YouTube.

And yes, for you eagle-eyed viewers,

I am recording this bit out of sequence.

A member of the vidIQ community, JONK

who makes stickman animation,

has been growing pretty rapidly recently

and it’s all thanks to a
viral video he made about KSI.

Mmh, 300,000 new viewers,
very tasty indeed.

But how do you continue
to meet the expectations

of these new viewers?

Well, to be honest, that
is a very hard thing to do.

At a channel level,
JONK’s followup content

to the viral success

has brought back some return
viewers, but not many.

And that is often the
curse of a viral video.

A huge audience discovered
your content for one thing

But they’re not necessarily loyal

to your channel in any way, shape or form.

In this circumstances you as a creator,

have a very short amount of time

to build that audience loyalty

and start meeting their
expectations with future content.

But at the same time, you as a creator

lightly, don’t want to be pigeonholed

as a person who just made that one video

and he’s trying to milk
it for all it’s worth.

In JONK’s case, he has doubled
down on his viral moment

with very successful followed content.

But when he creates new videos

that don’t match the video
topic of his viral audience,

the views are a lot lower.

But we do have to put
this all into perspective

because before JONK’s viral moment,

views on his videos were
typically in the hundreds

rather than the thousands.

Now, this next channel
is a brilliant example

of knowing your exact target audience.

When your videos get twice

as many return viewers as subscribers,

that means viewers aren’t relying

on any subscription tools at all.

They are almost subconsciously tuning in

to watch the channels videos,

whenever they are recommended.

And YouTube’s recommendation
system knows this

as proved by this statistic.

This is the perfect scenario for a creator

to find themselves in, because it means

YouTube knows exactly which viewers

to promote your content
to, to guaranty views.

And yes, one day you’ll learn a lot more

about that secret channel.

That’s what I think is really powerful

about the return viewers metric.

It is tailor-made, bespoke to your channel

and your channel only.

I mean, I knew day to day
that the vidIQ channel

gets a lot of views from new viewers

who are finding our
content through search.

But what I didn’t realize,

is just how many of you are loyal

to the vidIQ content and this community

with the day to day
videos that we publish.

Every single one of you
contributes to the data.

And through that data, we make
our decisions on the channel.

And I think, over the course of 2021,

we started to provide even more value

that is more targeted
to you the vidIQ family.

But of course, ultimately

you are the judge of all
of us and we answer to you.

Oh, also the codeword for this video.

(bell beeps)

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