5 ADVANCED YouTube Algorithm Secrets To Get More Views
Summary
TLDRThe video script discusses YouTube's algorithm and its impact on new channels, highlighting the 'new channel boost' that gives initial videos more visibility. It emphasizes the importance of creating content for a specific niche and the peak-end rule for viewer satisfaction. The script also explores the limitations of average view duration analytics and advocates for focusing on watch hours as a key metric. Finally, it stresses the significance of packaging, including titles and thumbnails, in attracting views, suggesting that a strong click-through rate isn't always indicative of success.
Takeaways
- 🚀 YouTube's 'New Channel Boost' unofficially helps new channels gain more views on their initial videos, potentially encouraging new creators to continue posting content.
- 📈 The success of a channel's early videos can be attributed to this boost, but it's essential to maintain quality to keep the momentum going.
- 🎯 YouTube's algorithm starts by promoting videos to various audiences, eventually narrowing down to the most receptive niche based on viewer engagement.
- 🕵️♂️ Understanding the algorithm's process can help creators optimize their content for better visibility and growth.
- 🎮 Specialization is key; creating content for a specific niche helps the algorithm learn and promote your videos to the right audience.
- 🚫 Diversifying content too much can confuse the algorithm, leading to a never-ending learning cycle and potentially lower views.
- 📊 The 'Peak-End Rule' suggests that how viewers feel about a video is determined by its most engaging moment and its conclusion, impacting satisfaction and future recommendations.
- 🎬 Ending a video on a high note can leave a positive impression, increasing the likelihood of favorable viewer feedback and higher watch hours.
- 🔄 Average view duration analytics can be misleading; it's crucial to consider the context and audience interest when evaluating video performance.
- 👀 Watch hours are a significant metric that reflects a combination of appeal, engagement, and satisfaction, and should be a primary focus for content creators.
- 🖼️ The importance of packaging (title and thumbnail) cannot be overstated; it often has a more significant impact on initial views than video quality alone.
- 🔄 The 'Appeal Equation' emphasizes the need for clickable content; focusing on creating enticing titles and thumbnails can significantly boost view counts.
Q & A
What is the 'new channel boost' mentioned in the script?
-The 'new channel boost' refers to an unofficial strategy observed by YouTube, where the platform appears to give extra impressions and views to new channels in their initial stages. This is similar to TikTok's approach to encourage new creators to continue posting content.
How does the YouTube algorithm initially promote a new video?
-The YouTube algorithm promotes a new video by testing it with various audiences, even those who may not be interested in the video's content. It starts with small segments of different audiences and gradually moves to the target audience if the video begins to resonate positively.
Why is it important for a channel to focus on a specific niche?
-Focusing on a specific niche helps the algorithm build a clear profile of the channel's audience, which in turn allows the algorithm to promote the content more effectively to viewers who are likely to be interested in it. This strategy helps creators grow their channels faster and more consistently.
What is the 'peak-end rule' and how does it apply to YouTube videos?
-The 'peak-end rule' suggests that people's overall satisfaction with an experience, such as watching a video, is largely influenced by the peak (the most engaging or emotion-inducing moment) and the end of the experience. YouTube creators should aim to end their videos on a high note to leave a positive lasting impression on viewers, which can lead to better viewer retention and higher satisfaction ratings.
How can a creator potentially increase their watch hours on YouTube?
-A creator can increase watch hours by producing longer videos that maintain viewer interest without adding unnecessary filler content. This strategy can lead to more viewer engagement and a higher contribution to the total watch hours, which is a metric YouTube emphasizes in its platform.
What is the significance of average view duration in YouTube analytics?
-Average view duration is significant because it provides insight into how long viewers are watching a video, which is an important factor for the algorithm to determine the video's quality and audience engagement. However, it's crucial to consider the context, as a video with high audience retention might only be attracting a specific group of viewers who are already interested in the content.
What is the appeal equation mentioned in the script, and why is it important?
-The appeal equation refers to the process of creating clickable content, which primarily depends on the video's title and thumbnail. It's important because the packaging of a video plays a crucial role in attracting viewers and getting them to click on and watch the video, often even more so than the video content itself.
Why might a lower clickthrough rate sometimes result in more views?
-A lower clickthrough rate might result in more views if the video is being promoted to a larger number of viewers, or if the viewers who do click on the video are more engaged and likely to watch for longer periods. The clickthrough rate is just one aspect of video performance; other factors like watch hours and viewer satisfaction also play significant roles.
What advice does the script give regarding the balance of effort spent on video creation vs. its packaging?
-The script advises creators to allocate more effort towards crafting an enticing title and thumbnail, suggesting that 30-40% of the effort should be spent on this aspect of video packaging. This is because the packaging plays a significant role in initially attracting viewers and can greatly impact the video's performance.
How can creators optimize their YouTube thumbnails for better performance?
-Creators can optimize their thumbnails by ensuring they are visually appealing, clearly represent the video content, and evoke curiosity or emotion. It's also important to test different thumbnail designs using YouTube's A/B testing tool to determine which performs best in terms of clickthrough rate and viewer engagement.
What is the relationship between viewer satisfaction and YouTube's recommendation system?
-Viewer satisfaction is a key factor in YouTube's recommendation system. YouTube uses various signals, including viewer surveys, to determine the satisfaction levels of content. Higher satisfaction ratings can lead to the video being promoted more by the algorithm, resulting in increased visibility and watch hours.
Outlines
🚀 The New Channel Boost on YouTube
This paragraph discusses the 'new channel boost', a phenomenon where YouTube appears to be giving extra impressions and views to new channels, similar to TikTok's approach for new creators. The example of the channel 'Nate wealth' is used to illustrate this, where the initial videos received significantly more views than subsequent ones. The speaker suggests that this boost may wear off over time and advises creators struggling with older content to consider starting a new channel to take advantage of this boost.
🎯 Understanding YouTube's Algorithm and Audience
The speaker explains how YouTube's algorithm promotes videos to various audiences, starting with small segments and expanding based on viewer engagement. The algorithm tries different niches but ultimately focuses on the audience that shows the most interest. The speaker emphasizes the importance of creating content for a specific niche to help the algorithm build a clear profile and promote the videos effectively. They also introduce the concept of the 'collaborative filter' and how it simplifies the understanding of the algorithm's workings.
🤔 The Pitfalls of Diversifying Content Too Soon
The paragraph highlights the issue of small creators diversifying their content too soon, which can confuse the algorithm's understanding of the channel's niche. For instance, posting a 'Fortnite' video on a 'Minecraft' channel can lead to poor performance as the audience may not be interested. The speaker advises creators to stick to their niche to avoid this issue and to focus on creating content that appeals to the same audience across all videos.
📈 Maximizing Views with the Peak-End Rule and Average View Duration
The speaker discusses the 'peak-end rule', which suggests that viewer satisfaction is determined by the most engaging moment and the ending of a video. They emphasize the importance of creating a positive final impression to encourage favorable viewer feedback during satisfaction surveys. Additionally, the speaker addresses the limitations of average view duration analytics, cautioning creators not to draw conclusions without context. They advise focusing on overall views and watch hours, which combine appeal, engagement, and satisfaction, as these are key metrics that YouTube values.
📊 The Importance of Watch Time and Content Packaging
The speaker explains how watch time hours are a crucial metric for YouTube, combining aspects of appeal, engagement, and satisfaction. They note that longer videos can contribute more to watch time per viewer, which can lead to higher views. The speaker also stresses the significance of packaging, including titles and thumbnails, which can be more influential in attracting views than the video content itself. They suggest that creators should invest more effort into crafting compelling titles and thumbnails and provide a link for further information on understanding click-through rates and optimizing video packaging.
Mindmap
Keywords
💡YouTube Algorithm
💡New Channel Boost
💡Audience Niche
💡Collaborative Filtering
💡Peak-End Rule
💡Average View Duration
💡Watch Hours
💡Appeal Equation
💡Click-Through Rate (CTR)
💡Content Satisfaction
💡Content Strategy
Highlights
YouTube's algorithm is trying to compete with TikTok by giving new channels a boost in views.
New channels can experience a significant increase in views on their initial videos due to YouTube's new channel boost.
The new channel boost is temporary and views may decrease after the initial videos.
YouTube's algorithm promotes videos to various audiences based on the content, starting with small segments and increasing if the video resonates positively.
Consistency in content niche is crucial for YouTube's algorithm to build a profile and effectively promote videos to the right audience.
Diversifying content can confuse the algorithm, leading to fewer views as it struggles to identify the target audience.
The 'peak-end rule' suggests that how viewers feel about a video is determined by its most engaging moment and how it ends.
YouTube uses viewer surveys to assess satisfaction with videos, which contributes to the algorithm's predictive models for promoting content.
Average view duration can be misleading; it's important to consider the context when analyzing this metric.
Watch hours are a key metric that combines appeal, engagement, and satisfaction, and are emphasized by YouTube.
Creating longer videos without compromising quality can increase watch hours and potentially lead to more views.
Packaging, including titles and thumbnails, plays a significant role in attracting views and should not be overlooked.
The appeal equation emphasizes the importance of making clickable content, which is more about packaging than the video quality itself.
Click-through rate is not always indicative of video performance; sometimes lower click-through rates can result in more views.
Creators should focus on optimizing their video packaging (title and thumbnail) to increase the chances of attracting and retaining viewers.
Understanding and leveraging the YouTube algorithm's secrets can significantly improve a channel's growth and view counts.
Transcripts
so the First YouTube algorithm secret I
call it the new channel boost
essentially unofficially YouTube is
trying to compete with Tik Tok now
something Tik Tok do very well
especially in the beginning in the
beginning when a new account is created
and posts a bunch of videos Tik Tok
makes sure to give those videos an extra
amount of Impressions and Views to
inspire that new Creator to continue
posting content and as of this year me
and a lot of my YouTuber mates have been
noticing YouTube doing a similar thing
for example this channel Nate wealth if
we come back and look at his first
couple of uploads 200,000 views on his
first video 89,000 views on his second
video but then fourth video 150,000
views fifth video 360,000 views sixth
video 140 then 130 then 150 that's
pretty good pretty insane results
especially considering a lot of the
topics Nate was covering especially in
these two videos were like how to record
voiceovers for YouTube videos which
typically in my experience aren't Super
Hot Topics in the YouTube education in
space now not to take anything away from
Nate's success his videos were very good
but this channel was started right at
the peak of this YouTube new channel
boost thing that's been happening cuz
for example if we come up and look at
some of the newer videos on the channel
very few of them have got anywhere close
to where his original videos are in fact
he's only had two videos get over
100,000 views out of his last 14 videos
and I don't think this is necessarily
his fault his videos are just as good if
not better quality than some of his
earlier ones it's just that his channel
boost is kind of worn off and I've seen
this happen on so so many channels now
so if you've been grinding away on your
channel for a couple of years you've
been struggling your older content isn't
very good but the new content you're
starting to put out is something you
could try would be creating a new
channel and just posting your new good
content on that and see if you can
trigger this new channel boost thing
YouTube's doing but if you don't take
advantage of this in the right way like
most people you're not going to get many
views so the next algorithm secret I
want to share with you is going to help
you do that so I've jumped over to my
trusty digital whiteboard here this is
where the fun begins that will sort of
help to illustrate a thing called
collaborative f in so let's say that you
post a YouTube video and let's say this
is your Minecraft YouTube video right
now these circles around here these are
different audiences so we have viewers
of Apex videos viewers of Counter-Strike
videos etc etc and what YouTube's going
to do right off the bat when you post a
video especially if your channel doesn't
have very much data is going to try
promoting it to a bunch of different
audiences that it thinks might like your
video so for example it might test
promoting it out to a small segment of
the Apex viewers Niche but because these
people are Apex viewers not Minecraft
viewers they're not going to be
interested in this video and so they're
not going to click on it or watch it the
algorithm might do the same thing to
csgo viewers promote to a small portion
of them but again Counterstrike Global
Offensive is very different to Minecraft
and so dedicated viewers of csgo videos
probably aren't going to watch your
Minecraft video and it's going to do the
same thing to all of these other niches
and they're not going to work out
because they're not Minecraft viewers
until it promotes your Minecraft video
to a small segment of the Minecraft
viewers Niche now I do want to say that
this is a very oversimplified
metaphorical way of understanding how
the algorithm works but if you act as if
this is exactly how the algorithm works
it's going to help you get a lot more
views and I'll show you why in a second
so anyway it's going to promote your
Minecraft video test it with a small
section of the Minecraft viewers
audience now these Minecraft viewers
remember want to watch Minecraft videos
and so assuming your Minecraft video is
good this little segment is going to
resonate very positively with your
Minecraft video they going a bunch of
we're going to watch it YouTube's going
to be like oh we're on to something here
and it's going to promote that Minecraft
video of yours to maybe a larger segment
of this audience and a larger segment
and a larger segment until it promotes
this video to the entire segment of
Minecraft viewers and if you're lucky
well not lucky but if you've created a
good tile thumbnail video Etc they're
all going to click on and watch this
Minecraft video of yours and it's going
to get a bunch of views now let's say we
take this Minecraft video and because it
was so successful you create another
Minecraft video now the algorithm is
going to do maybe a similar thing to
what it did before but it's going to
promote and test with even smaller
portions of these other audiences
because it was unsuccessful with them in
the beginning with this video here so it
promotes to a small portion of this
audience and a smaller portion of this
audience and a smaller portion of this
audience again they don't resonate
because this is another Minecraft video
that you've just posted here right but
then when it comes back to the trusty
Minecraft viewers audience and promotes
to them they resonate very positively
with this video YouTube continues to
scale this video up within this niche
until all of them have had this video
promoted to them now again this isn't
exactly how the algorithm works but this
is a really good way to think about it
so we come up here and guess what you
post another Minecraft video and now at
this point the algorithm is starting to
learn it's figuring out hey this channel
whenever it posts a video seems to
resonate with Minecraft viewers and so
what it's going to do is it's going to
promote this video to the Minecraft
viewers audience and because you've
posted yet another Minecraft video again
this audience reacts positively to this
video click on it watch it everything is
right with the world and with every
video you post you start getting more
and more views but this is where a lot
of small creators stuff up they get
bored and they post a different video
for example instead of a Minecraft video
they post a fortnite video now the
algorithm remember thinks that this
channel is actually a Minecraft Channel
based on the profile the success and the
data it's built up on this channel in
the past so what it does is it promotes
your fortnite video right off the bat to
these Minecraft viewers but we have a
problem these Minecraft viewers aren't
interested in fortnite they want to
watch Minecraft videos and so they don't
react positively to this fortnite video
YouTube never ends up finding the Right
audience for this video and instead it
just assumes oh this must be a bad video
because this audience who normally click
on all the videos from this Channel and
not clicking on or watching this video
and so that video must just not be very
good now you and I with our evolved
brains can look at this situation and
tell hey maybe this fortnite video
actually is a good video the problem is
it's just being promoted to the wrong
audience it doesn't matter how good of a
fortnite video you make if that video
gets promoted to people who just don't
want to watch fortnite videos you're
kind of screwed I don't care how much
the algorithm plugs Peppa Pig videos to
me I'm not going to click on them just
because I'm not interested in those
videos at least that's what I want you
to think and so I know this is a bit
complicated but this is the algorithm
secret I want you to understand because
what a lot of you guys are doing right
now is you have videos on your channels
that appeal to multiple different
audiences meaning the algorithm is never
able to build up a profile of who your
viewers are and so you're stuck in this
endless learning cycle where all of your
videos just get a very small amount of
views and the algorithm has absolutely
no idea who to send them to So to avoid
this mistake and this is something I
constantly drum into my students create
videos for a specific Niche and the way
I Define that the question to ask
yourself is would the type of audience
who click on this video also want to
click on all of the rest of the videos
on my channel so this particular
circumstance our fortnite video doesn't
pass this litness test because fortnite
viewers will be far less likely to watch
all the other Minecraft videos on this
channel vice versa Minecraft viewers who
click on these videos probably aren't
going to watch our fortnite video so
this channel fails our Niche test which
means it's probably going to grow way
slower or just not grow at all so if you
design your channel strategy in a way
that it's going to be working with the
algorithm and feeding the algorithm good
data you're going to be way ahead of
almost everyone else but just because
you have a common through line AC across
all of the content on your channel
doesn't necessarily mean you're going to
get views because if your videos
themselves aren't very good then
obviously no one is going to want to
click on watch or send positive signals
to the algorithm about any of them in
the first place and that's why I want to
share this next algorithm secret with
you and it revolves around a principle
called the peak end rule so when we look
into what YouTube themselves actually
say about how to get their algorithm to
give me more views they say that
YouTubers should focus on three main
buckets first is appeal second is
engagement third is satisfaction now
this is actually very good advice from
YouTube but as with most of YouTube's
advice it's so vague and watered down
that it's kind of not useful so let me
explain to you what YouTube is saying
here basically the first step is you
need a video that is going to appeal to
your Audience by appeal YouTube looks at
whether or not viewers once served your
video are going to find it appealing
enough to actually want to click on it
the second bucket is engagement it's all
well and good if someone clicks on a
video but if they click on it and leave
it immediately not a very good sign the
third category though is satisfaction
this is something that doesn't get
talked about very much because it's sort
of hard to understand and little know so
what YouTube wants is for people to keep
coming back to the YouTube platform and
even if someone creates engaging content
so they get viewers to watch that video
all the way to the end that doesn't
necessarily mean that those viewers were
satisfied with that piece of content I'm
sure you've been in a situation where
you've clicked on a video watched it all
the way to the end and thought
um it's the the biggest piece of dog
or maybe you were just completely
tricked you expecting a big payoff at
the end of that video and that big
payoff never came or maybe it was just
super underwhelming and that's really
bad in YouTube's eyes because it makes
you less likely to click on another
video to spend more time on YouTube and
when you spend less time watching videos
on YouTube YouTube makes less money so
what the YouTube recommendation system
does is analyze a bunch of signals to
figure out whether or not people are
actually satisfied with the video they
just watched so one of the things
YouTube does to learn how satisfied
viewers are with particular videos is it
periodically shows viewers surveys after
watching a certain video that asks them
how they feel about the video they just
watched YouTube then uses the data from
those surveys to train predictive models
to identify which videos are the most
satisfying now you might think well I
hardly ever see these surveys markers so
they must not have that big of an impact
well the thing is because of
collaborative filtering another concept
we talked a bit about earlier YouTube
might only show these seys to one out of
every 100 or one out of every 10,000 or
100,000 I don't know what the number
actually but then based on that one
viewer's response it's going to find all
the other people who've watched this
video who have similar viewing habits
and tastes to that one viewer who filled
out the survey and that one survey
response from that one viewer is
basically going to be used to represent
the sentiment for all of these other
viewers almost as if they filled out the
exact same survey so if you can get
viewers to remember your content very
favorably when those surveys pop up
they're going to be more likely to give
you a higher rating which means
YouTube's going to view your content as
more satisfying which means it's going
want to promote it more bit complicated
but I hope that makes sense so the big
question is how can we get people to
remember our content more favorably
that's where the peak and Ru comes in
the peak and R states that essentially
how people feel about something like
your video will be defined by the peak
of the video so the single most engaging
emotion inducing moment from that video
and the end of that video I.E how that
video ended and the part where a lot of
YouTubers screw this up is the end bit
so guys that's the end of my video
thanks so much for watching if you
enjoyed please leave a like down below
and leave a comment letting me know what
videos you want to see next basically
you're killing your end which means
people are going to remember your video
less favorably giving you less positive
survey ratings meaning the algorithm
send you less views so what you want to
do is have some sort of ramp of energy
or emotion right at the end of your
video now I can use the cliche example
that Everyone likes to throw around
including myself which is Mr Beast look
at how abruptly he ends these videos
after just casually giving away like a
million dollars so when that audience
satisfaction survey shows up or when
they promoted another Mr Beast video
those viewers are still sort of riding
the high of the last few seconds of the
video they just watched they're more
likely to give it a favorable rating or
click on another Mr Beast video and I
know this is hard to do I fail at this
in my own videos all the time but if you
can engineer this into the end of your
video based on what I've analyzed you're
going to start seeing better results but
in order for this to actually work
obviously you need your viewers to
actually get to the end of your video
and for people to get to the end of your
video you need a good average view
duration hence the next algorithm secret
the average view duration lie well it's
not quite that your average view
duration analytics lie to you but often
we don't have the context that we need
to when analyzing our average view
duration which is how long our viewers
watch our video for to draw good
meaningful conclusions from it let me
give you an example let's say you have a
small Channel you're not big but you
have a little bit of an audience growing
and you post a video like my story how I
started my YouTube channel now after you
post that video you go into your
analytics you scroll down to your
audience retention graph and you see the
retention is really good and you're like
wow people really like this video I
should create more story based content
about my life now sometimes that might
be the case what's more likely to be the
case is that particular video is only
going to be clicked on by people who are
interested enough in you to care about
your story and that type of viewer is
going to be more likely to watch your
video all the way to the end than say a
more casual viewer who's not even going
to click on your video in the first
place because your story doesn't
interest them so essentially you're
getting a very small group of people who
really care about you to click on your
video they watch it all the way to the
end they inflate your analytics to make
it look like this is the best video
you've ever created but the video
doesn't get very many views because as
soon as YouTube tests promoting it with
a small section of other broader
audiences they show absolutely no
interest and so YouTube just like cuts
off the promotion and so my overall
advice to you here is not to completely
ignore your analytics but it's to bear
in mind the context of them so the
ultimate metric you should keep coming
back to is your views even if you got a
bad click through right if that video is
getting a lot of views it means you're
doing something right so Analyze That
video figure out what it is about that
video that people are liking and apply
it to all of your future videos but for
some people this brings up the question
what analytics in my YouTube dashboard
can I trust well beyond things like
views and Impressions a metric YouTube
puts a lot of focus on is your watchtime
hours watch hours are almost a
combination of the three big elements we
talked about earlier appeal engagement
and satisfaction and here's why you can
have a video that retains a lot of
people but the video has only been
watched by nine people because it's not
very appealing to anyone on the other
hand you could have a really appealing
video great title great thumbnail great
idea but when people click onto it they
don't engage AKA watch it for very long
and that's also a bad thing but in order
to get watchtime hours people have to
actually click on the video and they
also need to watch it for a certain
length of time to actually contribute
seconds minutes maybe even hours towards
that watchtime hour step and this is why
YouTube are constantly talking about and
showing you watch hours analytics when
you click to your YouTube Analytics
dashboard it's YouTube sort of hinting
to you like hey we want you to focus on
this it's even so important that the new
YouTube ab thumbnail testing tool that's
going to be released sometime next year
decides the best thumbnail for a video
not based on clickthrough rate not based
on views but based on watch hours so if
you can create longer videos without
making them boring and adding more
filler content sometimes this gives you
the opportunity to get more watch hours
per viewer which can sometimes lead to
you getting more views and you can see a
lot of popular creators Mr Beast Ryan
Mayan arach etc etc compare their video
lengths nowadays to what they were a
couple of years ago or when they first
started you'll see they're gradually
making their videos longer and longer
and longer and this is also true with
YouTube shorts for example a study I
covered in one of my previous videos
analyzed 5,400 different YouTube shorts
and something they found was that on
average the shorts that got the most
views tended to be the longest ones now
sure there are a bunch of other
important factors obviously but let's
take two really good shorts the only
difference between them is at 13 seconds
and one's 1 minute and on average they
both get viewers to watch the short all
the way to the end according to this
study the short that is 1 minute in
length is probably going to get more
watch hours and perform better now I've
talked a bunch about retention and watch
hours and so I think it's only fair that
we talk a little bit about the appeal
equation which is making clickable
content and I think this is really
critical because while obviously it's
important that we engage and satisfy our
viewers if people don't click in the
first place you don't even have the
opportunity to engage or satisfy your
viewers there seems to be this click
versus retention myth going around that
says if you just create great videos
viewers are going to come and I don't
think this mentality is correct in fact
based on what I'm seeing on my channels
but also across my thousands of students
channels it's that your packaging which
is your tile and thumbnail so how you
package your video actually plays a
bigger role in your video getting views
initially than the quality of your video
so what I mean by that is if you have a
great video highly engaging keeps people
watching all the way to the end but you
have a pretty average title and
thumbnail that video is not going to
perform as well as another video that
has a great title and thumbnail but kind
of more average video content and I know
that's very controversial to say I'm
open to other data but it's just what
I'm seeing right now and so the
actionable Insight you should take away
here is if like most people you're
spending 90% of your efforts on actually
creating your video and then 10% of your
efforts on the title and thumbnail you
should probably be spending somewhere
more like 30 or 40% of your efforts just
on coming up with a really cracking idea
and great packaging so super enticing
title and thumbnail and then the
remaining percentage of your efforts
actually on your video and after trying
that for a bit I would be very surprised
if you're not getting more views than
you currently are now now speaking of
packaging a lot of people associate
packaging with your click-through rate
which is the percentage of people who
click on your video after they see it
listed on YouTube so for example if my
video is pushed out to 10 viewers and
out of those viewers one of them
actually clicks on my video I will have
a 10% clickthrough rate because the
number one is 10% of 10 but as you're
probably Gathering from this video
clickthrough rate is also not a metric
you can just take on face value
sometimes you can actually get more
views with a lower clickthrough rate
than you would with a higher
clickthrough rate and so before you go
spending all this extra time on your
titles and thumbnails you should
probably learn how to gauge the
performance of your titles and
thumbnails and how to accurately
understand what click through rate is
and how it works so I'll link a video on
screen where I go over that in a lot
more detail because I've been recording
for 1 hour and 3 minutes right now and
and U I kind of want to go to bed right
now so click on that video I'll explain
it all there
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