YouTube Algorithm Explained: How to Grow as a Small YouTuber in 2024 | Ben Rowlands | Skillshare
Search

Playback Speed


1.0x


  • 0.5x
  • 0.75x
  • 1x (Normal)
  • 1.25x
  • 1.5x
  • 1.75x
  • 2x

YouTube Algorithm Explained: How to Grow as a Small YouTuber in 2024

teacher avatar Ben Rowlands, Content Creator with 800,000 Followers

Watch this class and thousands more

Get unlimited access to every class
Taught by industry leaders & working professionals
Topics include illustration, design, photography, and more

Watch this class and thousands more

Get unlimited access to every class
Taught by industry leaders & working professionals
Topics include illustration, design, photography, and more

Lessons in This Class

    • 1.

      Introduction

      0:42

    • 2.

      What is the YouTube Algorithm

      4:44

    • 3.

      Why a Video Get’s Views

      12:46

    • 4.

      Problems Small YouTuber’s Face

      10:49

    • 5.

      The Algorithm Explained

      12:20

    • 6.

      Don't Do This

      7:12

    • 7.

      Thanks for Watching!

      1:43

  • --
  • Beginner level
  • Intermediate level
  • Advanced level
  • All levels

Community Generated

The level is determined by a majority opinion of students who have reviewed this class. The teacher's recommendation is shown until at least 5 student responses are collected.

251

Students

1

Project

About This Class

As a growing content creator you face the challenges of social media algorithms and trying to figure out how they work! It's vital to have an understanding of the YouTube Algorithm as it will influence how you plan and create content on your YouTube channel. This class will teach you how to start a YouTube channel and create videos that will grow your audience. Explaining how the YouTube algorithm works. From traffic sources, discovery to viewer signals to new audiences. This YouTube step by step guide reveals the secrets of the YouTube algorithm.

Meet Your Teacher

Teacher Profile Image

Ben Rowlands

Content Creator with 800,000 Followers

Teacher

Ben Rowlands is a 24-year-old Content Creator who has made a significant impact in the digital world, amassing an impressive 800,000 Followers and a staggering 500,000,000 Views across social media. Renowned for his deep passion for Tech, Gaming, and Music, Ben has skillfully leveraged his interests to build a diverse and highly successful online presence. Within just one year, he grew his YouTube channel to over 100,000 subscribers, and on TikTok, it took only a few months for him to reach the same milestone.

Ben's channels span multiple niches, making him a versatile presenter. With the ability to adapt across content styles, providing greater knowledge and understanding of what it takes to be a full-time creator. In addition to his life as a content creator, Ben is a... See full profile

Level: All Levels

Class Ratings

Expectations Met?
    Exceeded!
  • 0%
  • Yes
  • 0%
  • Somewhat
  • 0%
  • Not really
  • 0%

Why Join Skillshare?

Take award-winning Skillshare Original Classes

Each class has short lessons, hands-on projects

Your membership supports Skillshare teachers

Learn From Anywhere

Take classes on the go with the Skillshare app. Stream or download to watch on the plane, the subway, or wherever you learn best.

Transcripts

1. Introduction: Class, I want to break down exactly how the YouTube algorithm operates and works in regards to pushing out your content and videos to viewers on the YouTube platform. On YouTube, I have over 500,000 subscribers on my main channel and over 500 million views across the Internet. And over the last few years of being a full time content creator, I have learned quite a lot when it comes to viral marketing, creating content that actually gets millions and millions of views, and also the intricacies and details of how the platforms operate and the types of metrics you need to target in order to tick all of the boxes for those videos to actually out. So if you would like to learn more about my exact approach to creating successful YouTube videos, Johny here for this Skillshare class. 2. What is the YouTube Algorithm: YouTube algorithm is one of the most misunderstood elements of the YouTube platform. Inside of this class, I'm going to explain and demystify how the YouTube algorithm actually works and how you can get your videos to perform better, get more views, and actually grow your channel. There are a ton of videos on the YouTube platform that explain the YouTube algorithm and how it works and all the different elements that you need to understand. But a lot of them don't actually understand what the YouTube algorithm is. The YouTube algorithm to put it incredibly simply is just a recommendation system. It should really be referred to as the YouTube recommendation system. All the algorithm does is it is designed to just serve viewers users of the YouTube platform with videos that are relevant to them. There's no big hacks of how to get the algorithm to do this, and that and the algorithm destroys smaller channels. I punishes smaller channels. It's all absolute rubbish, some of the stuff that's actually out there on the Internet. And I'm going to break down the various elements of a video that you can control that will increase your likelihood of being picked up by the algorithm. So when you're browsing on YouTube, for example, we are here on the home page, YouTube is going to present to you videos that it thinks you will like. And all of this recommendation is based off of previous activity and your habits on YouTube. So stuff you've watched in the past, things you've watched for a very long time, like, you've got a high engagement rate on there, you've maybe left alike. You've maybe commented a lot on particular content. In your YouTube account, you'll get recommended content that YouTube will think, right. Ben really likes watching this type of content, so recommending some gaming stuff, so he'll stay and watch that video tonight. Or after that, he might watch some camera stuff because he's obsessed with YouTube camera things. And then you can see all of the other stuff up here that it thinks I like. It thinks I like video editing, obvious, 'cause I create YouTube videos, formula one, supercar, sort of other things, video games, cameras, et cetera. So YouTube constantly is profiling its users. So when you create a Google account and you start watching the videos on YouTube, instantly, it starts collecting all these meta data off of its YouTube users, and it starts profiling them. So it goes, right. Ben, is aged 22. He is based in the UK. He likes to watch videos of Supercars, formula one. He loves video games. In particular, he really likes, you know, battlefield, caller Duty, He likes consumer electronics, so we'll show him iPhones, iPads. He loves TVs, because he likes gaming, so we'll show him gaming specific TVs. It's incredibly intelligent. It's constantly collecting all of this data. And as you grow as a human being, it will then go, Oh, Ben now is interested in this, because he's matured a little bit. He doesn't play Minecraft anymore. He now plays whatever. So it's constantly evolving across all of the decades that its users have been on the platform. And then from all of this information, YouTube will then think, who else is like this user. So 22 based in the UK, likes video games. So he uses all of the data of 22-year-old males in the UK, and it figures similar trends that these guys are interested in. So they really like video games, they're like, sports, fitness, all these different types of things. So YouTube has this extra data in its algorithm or recommendation system of other 22 year olds in the UK. And that's why sometimes you get a great recommendation out of nowhere because you might just be browsing on YouTube. Looking for gaming content because that's what you like. And then suddenly out of nowhere, YouTube's like, you're going to love this video because other 22 year olds in the UK and 22 year olds in the USA really enjoyed this video on personal fitness to go get ripped with that in your thing, and you'll click on it and go, Yeah, this video is great. So in really basic terms, that's what the YouTube algorithm is doing. It is designed by Google to recommend content to its platform users to in turn keep them on the app, because the more time on the app that they have on Google on the YouTube website better the Google is is the business, to make more money. You're watching more adverts, you're spending money on YouTube premium. So much stuff going on, there collecting all the data off of you that they can then go and sell or whatever, and they can sell advertisements. It's huge money make machines. So it's in their interest to design an algorithm that recommends the best of the best content on the YouTube platform to keep the YouTube platform relevant. A huge problem is, it's all of this fake advice, stuff like this, so it's like 1 million plus views every time you post? It sets unrealistic expectations for small YouTubers, where they watch this video and they think, I'm doing something wrong, and it gives them a huge mental block when they're trying to create content. They feel like they should be achieving stuff cause some guy shows them how to get rich quick on YouTube. And this class is going to demystify all of that rubbish and really help you understand how is a YouTube creator that wants to have a proper longevity and build a proper channel can understand how to create and craft incredible videos that the algorithm loves. 3. Why a Video Get’s Views: Things off. I want to prove to you that the YouTube algorithm or the recommendation system isn't designed to favor larger creators and keep the smaller creators small and punish them for being a smaller channel. All the things that people have maybe told you or you maybe convince yourself are true because you're struggling to grow your channel and get views. Now, there are key metrics that you need to really hone in on and focus on and increasing as high as possible in order to ride the wave of the Tube recommendation system. You almost need to think of YouTube as your employer. They wouldn't hire a small channel who hasn't got good recommendations. You know, Your metrics are low. You've got low watch retention. You've got a rubbish click through rate. You thumbnails out very good. Like a normal employer wouldn't hire someone with rubbish recommendations from past people who have worked for them. If you're hiring someone as a manager, and you're looking at the metrics and the data, and you go, ah, they showed up for work late. They're very inconsistent, didn't plod very frequently. They didn't commit to the content much. No many people really watch that content. Your YouTube's not going to hire you as the channel to give you an opportunity. Not going to give you an opportunity because your data is rubbish. So you need to focus on these key metrics. So let's take a look at my channel here. This is my channel, Ben Rowland's tech. I've got multiple channels, got 70,000 18,000 subscribers. And this channel, in particular, in one year has amassed almost 4.5 million views. Pretty pretty huge achievement for one year on YouTube. Now, if we take a look at my oldest videos, I want to prove to you that it's rubbish that small channels can't ride the algorithm or grow. You can see right here looking at my videos. First few ones performed, all right, third ones done all right. The other ones underperformed performed. But my sixth video is that. Almost 300,000 views. But that's not where the interesting stuff lies. My tenth video. I haven't deleted any videos on this channel. My tenth video 610,000 views in 11 months. And this success is all down to understanding how to provide YouTube great data so they think this person is worth giving an opportunity, almost like a promotion in a job. They're a small YouTuber, but let's give them an opportunity in the Big Leagues. So what are these metrics? These magical metrics that I'm talking about? The first one is average percentage view, to your watch percentage view. This is probably the most important metric that you can obsess about as a YouTuber. I can guarantee probably 95% of the people watching the Skillshare class probably have maybe 25-35% average view percentage. That's what you're getting. You maybe get about 30 to 35% tops on your videos. You videos maybe maybe 8 minutes long or whatever. Not terrible, but definitely room for improvements. So according to YouTube, and this is data directly from a YouTube employee, these are the top 10% videos versus the average median for YouTube creators. So let's say you're creating ten minute videos on YouTube. For the top 10% creators, the top 10% videos on the platform, for 10 minutes long, they were getting 61% percentage viewed. The guys that were medium average just you sort of still performing well, but they were in that sort of middle area. For a ten minute video, they are lucky to get 44% viewed. Still fantastic, but it's a huge difference. Almost 20% difference between the top 10% and the median. If we then compare this to six minute videos, on average, the median is getting around 50% watch percentage, and the top 10% is are having people watch their videos and have almost a 71% completion rate. So out of the people that click on that video, basically 71% of them are completing that video, which is incredibly high. Now, for me, at the moment, my channel is a median channel. I create videos 3-6 minutes, and we are getting between 50 65% viewed. Now, there's still a huge room for improvement. If I want to be a top percenter, I should really be getting 70-82% watched on my videos. And I do have a few that have got maybe 68% watch attention, like around six minute video, which is fantastic. I nailed it, but it is very difficult to getting that top 1%. I'd be trying crazy to try and do that. And there's a few extra things that I could try, but it's hard. So I highly recommend If you're small YouTube, focus on this median. How can you get to be in that median, get your videos from 35% to 44%? Cause that is going to be pivotal, which I'll explain now. But first, let's discuss a few other metrics that contribute to your success on the algorithm. One of the most important ones is obviously, as we've established, the average percentage, the more time people spend watching your video, the longer you're keeping them on the YouTube platform. So YouTube likes that. They think, Well, Ben's keeping people on for, you know, basically 2 minutes and 10 seconds out of this three minute, 50 video? I like that. So they're going to push that out. I like that a lot. They're enjoying Now, other key elements are your click through rate in your impressions. You see here, this video has had almost 5 million impressions. So 5 million people on YouTube had this video pop up on their newsfeed or whatever when they're scrolling. And around 8.9% of those have actually clicked through. If we went to the advanced mode and we took a look at the actual click through rate, Traffic sources here. You can see in YouTube search, it's got a 12% click through rate and in YouTube brows. It's got a 9% click through rate in the last 28 days. Since lifetime, it's, yeah, about 10%, 10% click through rate in both of those things. So the higher you can get this click through rate, again, this is another metric that the YouTube algorithm likes. It goes right. Ben has got this great video that's getting people to watch for about 60% of its duration, like that. And then it goes right. He's also getting 10% of people to click through. That's a great conversion rate coming through. Now, ideally, you want to maybe get 15% or 16% people clicking through in your sort of first few months of the video being a live. The longer the videos on the platform, the lower the click through rate becomes over time because it gets shown to more and more people, and YouTube just keeps pushing it out to a less relevant audience. So, the fact that this video after a year, and 5 million people have seen it still has basically a 10% click through rate is quite difficult to achieve. Because traditionally, the more the content gets pushed out, the more the click through rate decreases, because it's going to less relevant people that aren't really going to watch it. So those are the two key metrics that you want to focus on, your average percentage viewed, and your click through rate. The higher you can get the click through rate, it shows it's interesting and exciting content. It's got a good title and thumbnail. So YouTube thinks quality. The longer you can keep people on the platform watching with your average view percentage viewed, it's pivotal. What YouTube then does with this data is very interesting. It will compare the data against other channels that have created similar videos. So, for example, this video is about a paper like screen protector for your iPad. So YouTube will go, what other channels have created reviews of a paper like screen protector, and what was their data? So YouTube will then take this data and compare it almost like a league table. So you'll have Ben's channel, and he's got a 55% watch retention on this video category. Then you've got C channel B. And also channel C, who have maybe got, you know, 35% watch retention, and this person's maybe got a 44% watch retention. Then what YouTube will do is right. It will go, Let's rank these videos as which is the most important one to promote. So clearly, it's Ben's video. Ben's video is keeping everyone on the platform the mo versus channel B. So Channel B on the algorithm will not get pushed out because they will think this video is not good enough to get promoted because it's not got a good enough watch percentage. And then it will give Channel C the second opportunity. What will then happen is when you're watching your videos, you will see Ben's video first, And then it may recommend Channel C as an up next, so it might say this one as an up next, because it's not as good as Ben's video, but it's good enough to also keep people on the platform because it's better than C channel B. Channel B hasn't worked hard enough, and they haven't created a good enough video to compete with these other channels. So the algorithm is more about your videos data and how that is ranking on YouTube system. So they'll then promote the videos that have got the best watch percentage that have got the best click through rates, and all these other things. And all these factors combined together, influence whether your video basically flies or dies. The same is also true with the click through rate. So an interesting thing that I've often seen, and I see this loads with Apple products because Apple is so competitive on YouTube, and everyone's making videos about Apple iPads. Apple this, Apple that. It's you uploaded video first, so I'm Ben, and I've uploaded my review first. So this is my review of an iPhone or whatever. So I've uploaded my video first before other channels. If a bigger channel then comes along, a bigger channel shows up 48 hours later, and they upload their review. What I've also noticed happens with these metrics, even though I can guarantee my video has got the higher watch percentage just by judging them and my experience of YouTube and graphs and things that. I can guarantee my video has got the better watch percentage. What I have noticed is the larger channel may have a much better click through rate. So their CTR on the video may be much higher than me. So I may only be getting 8.9% of people clicking onto the video. Was they are getting 18% because they've got quite a loyal audience, because they've got maybe 120,000 followers or 200,000 followers. Because they've got that loyal audience that sat there waiting for their next upload, they get that huge initial bulk of traffic, which then skyrockets the video on the algorithm, because YouTube again sees this and thinks, Wow, that's creating a lot of interest versus Ben tiny little click through rate. However, over time, my video may perform better because after they've had that initial boost of that huge CTR and that huge click throu rate on the thumbnail title, because that dries up after 48 hours because the audience has seen it, then my video ticks away in the background because it's actually the better video. And this is where that misconception comes where small YouTubers blame the algorithm. They see all these larger channels getting more views in them because they upload a video, and it goes like this, absolutely to the sky. Whereas, when they upload their video, they upload it, they go, I'm uploading my video, and they've got a little graph, and it just goes something like that. Nothing ever happens. This is because of this channel authority here. They've got huge returning viewers which YouTube likes. So they've got a lot of returning viewers coming in, massive click through rates because of their loyal audience versus a kid with a couple thousand subscribers or whatever with these tiny click through rates. But over time, the video with the biggest what percentage will always win. The one that's keeping people on the platform more is the one that's always going to beat in the long room, whether that be through YouTube search or even YouTube brows. So to simplify everything that I just said, I want you to start thinking of the YouTube algorithm as a ranking system for the best of the best on YouTube. And videos constantly fluctuate around. So videos might have the number one top spot. So these are the ones that are absolutely rocketing at the moment, so they might take the top spot, and then a new channel may rack up and upload a great video, which then takes that spot from them. So they now move down one, and they now become the second best video versus this one that then becomes number one. And it's just a constant influx of up and down, depending on how good the content is around the competitiveness of the topic. And this video here is proof of that exact concept. I uploaded this video and it didn't even have 100 subscribers on the tech channel, and somehow it managed to get me 600,000 views. And that's for all of those factors that I just explained. And it was a contribution of multiple things. It wasn't a competitive topic. No many people were doing reviews of a Paperlike screen protector, but it was a hugely popular product, among students. It gets promoted everywhere on every iPad video. It's like. This video is sponsored by Paperlike. So they promote the product like crazy. So everyone knows about it. There was hardly any reviews on it, because most people think no one's gonna watch a review of this iPad screen protector. That's exactly what I thought, but I made the video anyway. God job, I did. But that's the exact thing there. It's the competitiveness of the area that then dictates whether the algorithm gives you the top spot, the second spot, the third spot, or the 100th spot in the almost Premier League, the league table of YouTube. 4. Problems Small YouTuber’s Face: That isn't discussed enough is the problems that small YouTubers face when they just begin their YouTube channel. Now, one of the largest problems that a lot of creators have the challenge of overcoming is the lack of authority over keywords within their niche. We're told a lot by a lot of the YouTube channels that you should be optimizing for search, you should be using Cube buddy, VDIQ, all these different tools to get the right keywords for SEO, to get you to rank number one. But what every single video doesn't seem to mention is the fact that when you're a brand new channel, you don't have any authority at all over those keywords. What I mean by this is basically You may want to rank for the keyword like iPad or iPhone or something like that. Maybe making reviews of these products. So you want to rank for the keywords iPad? Now, the problem you have is, there are a bunch of other channels that have done hundreds if not thousands of videos on Apple products. You've got MKBHD with 16 million subscribers. You've got over 1,000 videos. You've got Unboxed therapy that's got once again over 1,000 videos. Lines tech tips, that has thousands and thousands of videos. So those mega channels have huge authority over the keywords, Apple iPad, whatever it is that they want to review. They can crank out a video on rank pretty high for it because of all of that data they've generated over decades, over a decade, on YouTube. Whereas if you're a brand new channel, and you're using the keyword iPad. You have no data to supply to basically YouTube, say, Look, I make iPad videos, and this is my track record. I've got one that's got 100,000 views. This one's got 80,000 views. I've got one that's got 300,000 views. You have none of this data where YouTube thinks, Oh, this channel right here is a great fit for the keyword iPad. So we'll let them rank number one on YouTube or number three on YouTube for iPad, review blah, blah, blah, whatever year it is, 2020. 30, 2030, let's say, in the future. So this guy's ranking for this keyword because they have all of this data to prove to YouTube that they are an iPad channel. So my first recommendation to any small YouTube is, don't get distracted by using buddy VDIQ and wasting all this time SEO. Think about how you can build out your content library with a strategy to go right. What is my channel about? I'm going to be doing iPad reviews. So I'm going to make videos that are so intentional to the keywords iPads, so I can start generating all that data for YouTube to think right. This is an iPad channel, or this is a tech channel that does Apple products. Very, very intentional with your content. That's what's really going to help you rank in search. So this then transitions us perfectly onto the next issue that small YouTube is face, and that is having a scatter gun approach with the content that they're actually producing. And every single channel does this. When you start off on YouTube, you're not 100% sure what your niche is or what type of videos you want to create, and you're trying stuff out. And that's perfectly fine. You're going through a testing phase, basically you're throwing stuff at the wall and you're seeing what sticks and you go, A, I'll do more of that because that work. I've gone through this on every single YouTube channel that I've done. When I started the tech channel last year, I was testing out apple stuff predominantly, with my keyboard reviews, best keyboard for Mac Mini, my desk setup, awful thumbnail. So there's a reason why this video underperformed. Best monitors, best accessories, iPad review. Again, why did this video only get 2000 views? Because it was Ben's fourth ever video. He was never in 1 million years going to rank for the M one iPad pro. But when you type this into Cube buddy or VDIQ, they're like, this is a 100 out of 100 keyword. 100%, you should be using the keyword M on iPad pro review because this is searched a lot on YouTube. Yes, it's search a lot on YouTube, but your channel has zero chance in ranking for it. That's the reality of the situation that we're facing because of how competitive this keyword is. Then you can see stated to figure a few things out. I found that yes, the M on iPad pro. I couldn't rank for the review, but I could do a video on the gaming because this was an underserved keyword. So people at the M one PAP pres a very popular product, but there wasn't that many people doing gaming videos on it because no one really wants to game on an iPad, but I saw sort of an underserved area. So that was me learning a bit. And then we started to get a bit more generic here. We bought the M on MAC, and we were switching from a WdpeC. Terrible title. If I would do this again, I would Why I switched from Windows PC to M MAC rather than all of this, M IMAC 2021, Unboxing, and review. But do you know why I structured the title this way because of VDIQ Q buddy, all of these tools and this advice for ranking in search. What was the best keyword for the M one MAC? It was M IMAC 2021. That's what was the 100 out of 100 keyword term that was recommended to be used from those tools. So I used it. What was the next best one M MAC boxing, blue, first impressions, the colors of them? So all of this was driven by poor data from these plug ins that we're told solutions to the problems that we face. And I'm not criticizing these plug ins because they are incredibly useful once you've established some form of authority and data on your channel to actually use them, where you go, right? I've got 1 million views on my channel now, I've got loaded data, and then you actually know whether you can use these keywords or not from your own personal experience, and then they are useful because they point you in the right direction. But when you have views, zero subscribers, they actually point you in the wrong direction more than anything because you end up chasing things that Too competitive. So we keep scrolling through. And you can see because this was my second time doing YouTube, there wasn't too much of a scattergun approach. I was predominantly doing apple stuff and iPad, so it was quite focused. But you can see there's the odd video like this drone video. I was a fantastic video. The Stat said it was a great video. But it was a bit random. You know, we were doing iPads, iPads, iPads, drone. Didn't really fit in. And at the time when you don't have much data, and you're trying to explain to YouTube who you are. You try to say, Hey, YouTube, I'm a tech reviewer that does apple review videos. And then you suddenly do a drone video. There's no connection there within the data. So it just thinks that's a bit random. What on earth is this channel? It just confuses the algorithm more as to where it should be put in your content in you as a creator. So I realized that that was a bad mistake. We went back to Applestuff, Applestuf, Applestuff. And then boom, we had another video stick. And so on. And then tried out some gaming stuff because that's predominantly what I enjoy doing more than the Apple stuff. And now we fast forward a few months, a few months to this point do apple stuff blah, blah, blah. And now we predominantly do gaming stuff. I'm now a tech gaming channel, X boxes, steering wheel, Xboxes, iPads still because there's still audience. It's predominantly a gaming tech channel. And that's because I had a lot of videos that performed well in gaming tech and I thought, well, there's clearly a gap here for me to do this type of stuff. It was more the tech I actually enjoyed talking about. I really enjoyed talking about that more than the Apple stuff. So it all sort of connected really well and we were getting a lot of positive data to YouTube because of all the Xbox videos that were performing well and things like that. So it's just being clever with the direction you take your channel in and not being too sporadic with all your ideas. Because it's being all over the place that confuses YouTube as to what your channel identifies as. Is it a tech channel? Is it a beauty channel? Is it an Apple tech channel? Is it a Windows PC tech channel? Is it an Android smartphone channel? Whatever the subcategories are within your niche, how do you identify with in nose? This is one of the most important things you can do when you're starting your channel. It's called Niche down, but I think it's much more than just that generic term. You're actually figuring out your category within the more generic category of tech consumer tech or beauty or whatever it is that you are trying to do. The next problem I see small channels doing is a lack of originality. And I'm going to use myself as an example for this once again. When I launched the tech channel, I was learning a brand new space on tech. I was trying to figure out how does this space work? How are the best YouTubers making their videos? How are they titling them? What are they doing? So I could learn and sort of educate myself on the eticacies of this niche on YouTube. So I was seeing very generic videos that millions of people are doing, the best M one MAC accessories. 4.2 thousand views. So if we type into the YouTube search bar, best M on MAC accessories, and we search for this, you'll see there are a ton of videos. You've got best accessories, the cheapest M on Mac Mini, the everyday dad, 400,000 subscriber channel, 400,000 subscriber channels, a load of other big channels, all dominating this key term. There I crop up for some bizarre reason about sick the search, but no one cares at that point. They've watched this video and learned everything that are the best accessories because we've created a very similar video. There's only so many accessories that are the best that you can buy for your M one Mac Mini. So my word of advice to Small YouTubers is from the off, try and figure out how can you do something that's different than just obvious video ideas, which we were trying out here, like M one iPad pro review on boxing impressions. It's just so basic ideas, but then suddenly we did a gaming video on the iPad. It was something a little bit different that no one else was doing. It was an original idea. We keep scrolling through desk setup, a very generic idea. Triple monitor setup. This was a little bit more niche within the topic, but not a huge audience, it didn't perform very well. And you keep scrolling through all generic generic generic until, like, months into the whole equation, where I started this is generic video, generic video. And it isn't until almost December time, I would say I started to rock out some half decent things, but just doing reviews, reviews, reviews. And then boom. This is where we start to get more original, 600,000 views, 100,000 views. 80,000 views, 300,000 views. This is when I figured it out and I thought, Oh, I need to do something original and different to stand out, 30,000 views, 40,000 views. Things were just so much better when I stopped trying to be a M two copycat, not really copycat, but just something that there isn't space for. There isn't space for another person to come along with generic review videos, because we've got Mr. Who's the boss, we've got MKBHD and Minis. We've got all these beasts. Create the best of the best videos, no one needs another person doing that. They need something that accommodates us alongside that. So they've got their favorite YouTube and Mr. Hud Boss and MKBHD, who are going to be there for decades because they're dead young, they're like in their 20s. They're going to be there for decades and decades and decades. There's no point me cropping up and trying to take a space that's already filled. There's only so many spaces at the top of each niche. You've got your top ten, top five channels. And for you to try and break in to a gap that doesn't really exist is really impossible. But if you can position your content around this top thing and you maybe create a new subniche, or you compliment it in a way where all of these big channels can assist you in your growth because you're doing something that complements it rather than competes with it. This is where the real growth exists on YouTube, creating content alongside the more generic top channels that don't really need someone to replace 5. The Algorithm Explained: Next, let's move on and dive into how the algorithm actually works. More specifically, how does this recommendation system operate and create links between videos. Hopefully, so far, you are aware that there are multiple different traffic sources on YouTube. You've got brows, search, suggestive views, all of those types of things. Each of these traffic source has their very own algorithm. Depending on where your video is placed on YouTube, it will have its own independent click through rate. It will be catered towards a different type of viewer because they have different viewing habits compared to someone that uses search, someone that uses brows, predominantly likes content to be recommended to. Their habits on YouTube will be different. So as a viewer, you have to cater your content differently. So each of these traffic sources, YouTube has their own algorithm for them and their approach to what causes content to be pushed out. And as a creator, you have to be mentally aware of which traffic source you want to target? Do you want slow evergreen traffic, then target YouTube search? Do you want quick and fast views, and trying to create viral content? You want to think more about the browse traffic source. And all of this influences how you title your videos, whether you go a bit more click bait for browse or whether you go more keyword optimized for search. But more importantly, I want to talk about how the recommendation system knows which are the good videos and creates the link between all of the data. So let's say that our keyword is going to be Xbox. This is the topic of the video that we are creating. Now, what happens on YouTube is you have lots of different videos on the same thing, Xbox review, Xbox boxing video, what are the best games on Xbox? Xbox controllers, best gaming TVs for Xbox, all of these different videos. On YouTube, but all over the algorithm, millions of videos filling up the algorithm. What happens is YouTube basically creates links between the relevant content to. This is an Xbox review, and this video here is also an Xbox review, and this video over here is also an Xbox review, and this is an Xbox review, and this is an Xbox review. The biggest misconception is that YouTube derives this decision for the link from the keywords in the title and the description. Sure, that helps the description, especially, but the title not so much. You need to start thinking about optimizing your videos for humans when you're doing the titles rather than for the algorithm. What actually happens is YouTube AI knows exactly what you're saying in your video. Hence why it has autogenerated captions because it detects what the human being and the video is saying. So it knows exactly every single keyword you're saying in the video, X box, X box 360, series S, series X, X box one. It knows all of the different keywords that you're seeing in the video, which is why it knows where to place it, and then it creates the auto generated captions on all those kind of things. Addition to this, YouTube also analyzes all of the footage in your videos, so it knows when there's text popping up on the screen, what that text says, what object you're holding in the video, all because of the AI intelligence that's analyzing everything on the platform, because one, it helps with the algorithm, but also two, it helps with the moderating the platform for things that are also inappropriate. From this AI driven data that YouTube has, they create all of these links automatically, regardless of you spamming the keywords like this in your title and descriptions. But what can happen is you can create a chain between your content and between other people's content, but it is possible that a chain can be broken. And when a chain is broken, this is often the explanation as to why maybe a video you previously had performing really well suddenly stopped performing well. It was maybe getting loads and loads of views over a few months, and then suddenly on nowhere it completely slowed up, and nothing happened. Well, a chain got broken in the algorithm. And there's a lot of reasons for a chain being broken, and one of the biggest is a better video got uploaded on the same topic. So let's say maybe a slightly bigger channel, maybe stole an idea or got inspired by a smaller channels idea because they saw it got performing well. They went ahead and uploaded their video that had better stat. It had 70% watch retention, you know, 18% click through rate. It was really good status on the video. And your video only had, let's say 40% watch retention and 8.9% click through rate. Well, YouTube now thinks, well, let's create a link here. And a link here, and then we'll create this new path for the content. So you are no longer included in this path. So you've been completely raised from here because your video wasn't as good as this new one that just arrived on the block. Now, this is constantly happening on YouTube, and this white it's better to refer to the YouTube algorithm as a YouTube recommendation system because constantly new videos are being uploaded and new chains are being created between content, new recommendations for the end viewer, the person sitting on their iPhone or their iPad. Constantly, there's new content being created for these people. New links between content content links are being broken. To create the most efficient route to the best videos for the viewer. Because YouTube aren't going to overcomplicate the path to the perfect answer for the viewer. If someone's coming onto YouTube, and they want to know whether to buy an X box, YouTube wants to find the quickest path with the best videos to get to the outcome, which is the viewer being satisfied and buying the X box. So they go away, and they're happy with their experience, and they use YouTube to achieve that. So if YouTube can do that in as minimal steps as possible, rather than a long winded path, they're going to go a right, bang, bang, bang, bang, straight to the solution. Rather, an going. We're going to recommend This video, then that video, than this video, then that video, and this video than that video. And then finally, you've got to the golden video that was really good. The YouTube algorithm and recommendation system is all about optimization for the user, the human being using the YouTube app on their phone or on the computer. That's who you have to start thinking about, not optimizing for this mystical algorithm, thinking about the videos for the human being that's going to watch them. That way, you'll create a better connection with the viewer in the video, but also you'll think more creatively about how to create a better video for humans rather than one crammed with keywords and rubbish titles, crammy keywords and all those sort of things. So let's take a look at a few examples of these chains being created and also being broken. I can x best the amount of times that this has happened to me, especially in the technique, because a lot of the videos are very similar. It's like iPad review or iPhone review. There's constantly new videos being uploaded essentially on the same topic. So you're constantly losing your spot on the algorithm. I first want to show you two examples with this LGTV that happened to me recently. First, let's take a look at the I bought the smallest OLED TV the world. Now, if you remember back to when I was saying that keywords aren't really that important to YouTube placing the content because it knows what you're saying in the video. Well, this is a prime example of that. The title is, I bought the smallest OLED TV in the world. I do not say LGC two OLED review or even state what the product is. It's very vague the title. But when you look inside of the analytics, on this video, in particular, you can see that YouTube's placing it in search, it's getting traffic from elsewhere on the platform. Cause, it knows exactly what I'm saying in the video. I haven't mentioned any of the keywords in the title, but somehow YouTube knows where to put it. So if there's any part of you that sort of thought that wasn't true about the keywords, I hope that puts your mind to rest. But now let's move on to the biggest thing that I want to show you, which is videos that were performing well, but lost their momentum. Al right here, I've got a video called switching to a 42 inch four K ODTV as a computer monitor. You can see, I uploaded this video two weeks ago, and it has 41,000 views. Now, if we take a look at this channel from a guy called Spawn Point, He's a fellow Tech YouTuber here in the UK. You can see that he did this video right here, LGC two review, a perfect gaming and productivity monitor. That's what it was called. And you can see that he uploaded that nine days ago and has 120,000 views. Obviously, it's a biggerchannel, so he has a lot of returning viewers but he uploaded that video a week after I did. So I uploaded my monitor video on using the LGC two as a monitor. And then a week later, he released his version of that video. I was quite a common idea for people to do this because quite a popular trend with the LGC two. And I lost a lot of momentum on my video when his went live. And this is an example of a chain that got broken. So if we jump into the analytics here, you can see that the video was performing really well. It was rocketing up in the views. It was outperforming the typical period in the gray line, the blue line is obviously the views, and it was performing really well in the first five days, seven days, and Spa Point uploaded his video roughly a week later. You can see how quick this momentum was going. We got basically 30,000 views in one week. Now, you can see that I uploaded my video on 1 May, then Spa Point uploaded his roughly seven days, eight days later. So the following weekend, he uploaded his video on a very similar topic. And you can see at this point in the algorithm around the eighth day when he uploaded, how the video slows up. See how we got 30,000 views in a week. We then fast forward another week, and we only got like maybe 10,000 views. Considerably lower. We lost almost more than 50% of the traction this video was previously getting. Because in the 48 hours, it was getting like 4.5 thousand views every 48 hours. Spawn Point uploaded his video. It went down to like two and one half thousand, and now it's at 1,300 views every 48 hours. And that's because we lost a spot in the brows. We lost a lot of the traction there because Spa Point clearly took our spot on that recommendation in the links. Span Point took it, so that was getting pushed more the M video, bigger channel, longer video, as well, so more watch time on there. And same with the search. We probably lost our position in the search because Spawn Point had uploaded his video. There's probably other channels as well that uploaded their video on a similar topic that I'm not aware of, but I constantly track what Spawn Point's doing because we're very similar. O viewers watch each other's content. And that is an explanation as to why this video went from flying to completely flat lining. Now, a more frustrating example that really did irritate me was this video right here. Can the Xbox Series S replace a budget gaming PC? Now, I uploaded this video on 5 January 2022. Just to be clear, I wasn't saying that Sporm Point copied my previous video idea. It's a pretty generic idea. It's just I did it first, and then his video killed my video because of just how it goes. But this video right here is an incredibly original idea. I thought about it a lot, and I talked about this in other courses about how it was a unique idea. Hence why it got so much traction so quickly, and like a month or two, it got all of this traction. What happened was a month later, this larger channel with 100,000 subscribers basically copied the same idea. That's a bit in nutshell. What happened. They basically copied the exact same idea on the Xbox Series S, and you could see that there's got 1.3 million views. Now, this is where it's frustrating because my video was absolutely rocketing on my channel. We got 1 million views in January. Everything had huge momentum. And then in February, the link got broken for this Xbox video. It completely got chopped off because this guy, a larger channel, uploaded the same video idea. And basically, because his video was significantly longer, 8 minutes and 30 seconds versus mine, that was just under 3 minutes, because at the time I was creating shorter videos because that's what I wanted to do. It just completely got chopped off on the algorithm, because this, even though Mine probably had a higher watch percentage, this had significantly more watch time. It had way more watch time because it's 8 minutes. So let's say people may watch 35% of this video because it isn't crazy engaging in terms of the burrol. It would still probably be more than the maybe 60% viewed that I would get from my three minute video in terms of watch time on the platform. So, again, the chain got broken on the YouTube algorithm with all them dots in them lines because this was the video that was keeping people longer on the platform than Ben Rollins is, even though I came up with the idea first for this type of thing and then this kicked off a whole trend of people doing these videos. So I did this and this guy did this 11.3 million views, and then there was a ton of other huge channels that started doing Xbox, C your Xbox replace your gaming PC? And like acting like they came up with this idea? Hopefully, that explains how the YouTube algorithm and recommendation system is working for pushing out content. It's basically looking for the best videos with the best watch time to create links between them to result in a happy viewer. Unfortunately, sometimes this results in the original creator who came up with an idea losing out on all of the views because a bigger channel comes along has more watch time on their video because it might be longer, and they get more views as a result of that. But that's just how the algorithm works at the moment. It almost doesn't almost reward the original creator of the idea or the videos that were first with the idea, not necessarily whether it was their original idea, but if they uploaded the video first before somebody else coming along, doing the same thing. 6. Don't Do This: Like to share something with you that will hopefully blow your mind when it comes to creating YouTube videos, because it especially did for me when I tried it the very first time. And that is that you should create your thumbnail first. Before you go ahead and even script out the video, film the video, and mess around doing all of that editing it and getting it ready to upload. You should create the thumb nail first, and that's for a few reasons. First reason is it will let you see whether the idea is clickable. So you may come up with a great video idea like the World's Cleaners desk setup or something. Then when you actually create and make the video, you can't find a good enough thumbnail that's clickable. You maybe not clean enough, eye catching enough, so all them days wasted were literally wasted because the thumbnail was never going to be good enough. Whereas if you created the thumbnail first for your idea or at least had a solid idea for how that would work, then you would know whether the idea is going to be successful first. The second reason why you should create thumbnail first is because traditionally, people are dead lazy when it comes to making their thumbnail. They've gone through days and days of hard work of editing, filming, and doing all that stuff and then they finally get ready to upload, and they just want to get the video up and out the way so they can move on to the next one. So they either just grab a quick screen grab and throw that up, and it doesn't give it much thought into what the thumbnail is going to achieve. So if we take a look at this video right here, it's a couple of months old, and it's got just under 300,000 views. Now, this is the thumbnail for this video. I created this thumbnail before I even had any idea what the video was going to be about. I came up with a really cool title idea, and then I made a thumbnail that would match that before I even had any idea what I was going to say in the video. I had no clue what the tips and tricks I was going to share in this video was until I done this part first. So this thumbnail really dictated the direction that the video ended up taking. And then the final video was called, If you own an Xbox series S, don't do this. So you've got the thumbnail with the X box with a red ring of death, say, this X box is broken for some reason. Then you've got the video, so don't do this. Then we go through different tips and tricks of hidden features on the X box that people maybe don't know about, and maybe some things that won't destroy your console, but you should be aware of, like, you maybe save more money if you buy 12 months of game pass rather than six months and all those type of thing. Just little tips and tricks that get more out of your X box than just not knowing about them. So it's almost like a getting started guide for Xbox users. Really clever title and a really clever thumb now. Now, if I'd just gone ahead and came up with the idea first and gone right. I'm going to make a title and be like Top ten hidden features on the Xbox Series S. Much blander, much more boring, way more formalic in terms of how it's out. Tip number one, tip number two, Timber things you've seen 1 million times on YouTube. And then I had A Thumbnail with me holding the Xbox going. Or something silly like that. So, instead, I took a time to actually conceptualize what would make someone click. And it was a thumbnail that was incredibly eye catching. It's got a bit of fear factor there because it's like, Oh, we destroyed his Xbox and never seen that happen. Sure there was an element of photoshopping in there to make that happen. But it was successful. So this slight tweak and pivot in my workflow completely revolutionized my approach to creating YouTube contents. Now, there's this super helpful tool called thumbs up dot TV that lets you upload your thumbnail and preview it on YouTube. So this is how it would look like a web browser, on the home page, the side bar, channel pages, subscription feed, history. This way, you can see how your thumbnail and title looks in combination, and you can view it in both light mode and also dark mode to really see whether the thumbnail pops, whether it's too dark, whether it needs to be brighter, whether it's too bright, and a bit over exposed, all those types of things, and then you can go ahead and try different titles. You go right here, it might be something like the coolest desk setup. And then you'd have a look and you'll be able to see how that looks as a title. And then you'll be able to try out different combinations, top ten tips for new desks. Setups or whatever. Terrible title, but you see what I mean. So you've got these different type of things. Then you can see how the title gets cut off here. So it says the coolest desk set up, the top ten tips for new desk. And then it gets cut off. So you think titles not very good, and then you can see it's okay here. So this lets you preview how it will look on YouTube, and whether your title's too long, too short, whether it's actually eye catching enough to warrant someone clicking on it. And you do all of this first before you go ahead and actually film the video. Sure, there'll be certain instances where you may not be able to make the thumbnail because you need to build something like a desk setup to get that thumbnail. But you can still upload pictures off Google or whatever, just to see how it might work and conceptualize the idea before you go ahead and actually create the final thumbnail. And if you would like to see some data behind this workflow, check out the click through rate. This is the first 24 hours of this video. You can see it had a 15.8% click through rate, 14.5% click through rate. Very high click through rate. You know, traditionally, people might be hovering around five to 8% click through rate with the thumbnails that they're using, so very great performing. Thumbnail. And if we go ahead and actually take a look at since published, it's continued to sustain a high clickthrough rate at around sort of eight to 9%. These are obviously the averages, and it changes depending on. And traditionally, when your content gets pushed out, the further it gets pushed out in the algorithm, the more the click through rate will decrease because it goes to a less relevant audience because, you know, YouTube is trying to get it more views. So for it to sustain quite a steady clickthrough rate while YouTube's gone through showing almost 3 million people this video, shows that this really made an impact. And this work flow is not too dissimilar to what you would do at college, school, or at university when you're writing an essay. You don't go ahead and just write a random essay, and then come up with a catchy title for at the end. You have a clear idea of exactly what you're going to research and write about in the essay before you go ahead and do it. It's the same with a HTue video. You come up with the title the thumbnail in this instance first, so you have a clear vision of what's going to get someone to click on this. That then dictates the story that you're going to tell within the video that you create. Then it results in much more success. This video right here, if we take a look at the analytics, you can see that it has generated 300,000 views, and it brings in almost 4,000 views every 48 hours, and sometimes it brings in 6,000 views when the algorithm is giving it a good push every 48 hours. And you can see how it's performed well, performed well, and then had a great shelf life for Evergreen on this channel. It just kept ticking away and ticking away, bringing in new viewers and continuing to grow the channel. The biggest takeaway you should take from this video is that you should start coming up with the coolest possible title and thumbnail that you can create for your niche. Because traditionally what people do is they create a fantastic video, but then it has a rubbish title and a rubbish thumbnail. Then because the video is underperforming by no surprise due to those factors, they then panic and they start changing the title 1 million times. They maybe make a different thumbnail, that's more clickbaity. But the problem is the video doesn't justify the click bait because you never plan for how you would do that. So this then leaves the viewer a bit dissatisfied. They click on your top ten, whatever video with your new title and thumbnail come and think, well, that was a waste of time. It didn't really deliver on the promise. Whereas, instead, if you can come up with the click bait title and click bait thumbnail first and then create a video that justifies that, the viewer will feel way more satisfied. They'll go away with value, and they'll think, actually, that video that really attracted my click delivered on that huge promise that I never anticipated. And that's how you can start to begin to get more clicks on your videos, but leaving the viewer satisfied rather than dissatisfied, and it will leave your brand with a much better feeling than just being desperate for views. 7. Thanks for Watching!: That I've broken all of the fundamentals down when it comes to the YouTube algorithm. I want you to go ahead and complete a task, which is where you will completely change your workflow. As I mentioned, in this class, I like to make the thumbnail first before actually producing and refilming and editing the YouTube video, so I want you to try and apply my workflow to your very own content production process. So go ahead, come up with an incredible video title that's very exciting video idea and create a thumbnail that matches that. And then go and create the video, make the script, and make the piece of content that will marry up with that thumbnail to ensure that you have packaged the video correctly, and also a great way to disregard any ideas. You come up with a great idea, don't know how to quite package it. So obviously, you will scrap that entirely and move on to something that you know may have a high successful chance of working. That's exactly what I do, and I would recommend doing that as the class project. So you get a little bit of an idea and understanding of how that process would actually for you going forward in the future. But if you actually want to learn more about how to grow on YouTube, I have a class here on SkillShare, which is my YouTube road map to success. This is one of the most comprehensive courses on the entire platform. It's a series of multiple skill share classes combined together in a sequential manner that you can follow one by one all the way from A to Z, that will show you everything you need to know about YouTube growth, both from the back end, managing, time managing, making videos, filming content, getting views, and also sustaining the success over a long period of time. As always, Abby Ben Rollins, thank you so much for watching. Be sure to follow me here on Skill Share 'cause we upload brand new classes pretty much every single week on here now, and I'll see you in the next one.