29:06Jake Trinder · Essay
Once You Learn Psychology, YouTube Becomes Embarrassingly Simple
A YouTube growth strategist breaks every video down into four sequential viewer decisions and shows how to find which one is actually broken.
August 26thThe argument in one line.
Long-form YouTube growth comes from treating every video as a calculated bet built on cross-niche research and honest confidence in the idea, not from raw output volume or chasing any single vanity metric.
Read if. Skip if.
READ IF YOU ARE…
- You run or advise a business YouTube channel and want a repeatable process for deciding which video ideas are worth the full production budget.
- You're weighing whether to prioritize raw view count or downstream leads and sales, and want a framework for which matters at which stage.
- You want a concrete way to diagnose why a specific video underperformed instead of guessing at the thumbnail or title first.
SKIP IF…
- You only make short-form content with no plans to publish long-form YouTube videos; the research cadence here assumes weekly long-form uploads.
- You already run a mature attribution and analytics stack and are past the beginner questions about what to track.
The full version, fast.
Jake Trinder, who runs a YouTube growth agency for businesses, argues that long-form success comes from research discipline, not output volume: before filming, you should feel a nervous confidence that the idea will work, because that confidence is what lets you diagnose a flop as either a bad idea or bad execution. His core method is mining title and thumbnail patterns from niches outside your own whose viewers share your audience's underlying psychology, then adapting proven formats, like 'speedrunning,' into your niche. He treats CTR and retention as noisy in isolation and instead tracks a composite 'viewer satisfaction,' using small signals like teleprompter eye contact or a CTA-triggered retention cliff to diagnose underperformance.
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00:00 – 01:24
01 · Confidence is the real research metric
Opens on why long-form demands heavier upfront research than short-form, landing on the idea that genuine, nervous confidence in an idea, not overconfidence, is what separates a video worth full production effort from a coin-flip.
01:24 – 03:43
02 · Steal formats from outside your niche
Explains why copying what already works inside your own niche caps you at parity with competitors, and lays out the logic for importing proven formats from niches whose viewers share the same psychology, illustrated by the 'speedrunning' format's path from gaming to drop-shipping to cold-calling content.
03:43 – 04:41
03 · A repeatable process for finding those niches
Gives the concrete method for creators without AI tools: apply the same deep research process to a list of adjacent niches whose viewers share your audience's goals and mindset, not their surface topic.
04:42 – 06:03
04 · Views first, until conversions become the bottleneck
Argues a brand-new channel should prioritize views, since a large enough traffic sample is required before you can tell whether weak sales are a content problem or a funnel problem, with attribution tracking closing the loop.
06:04 – 07:21
05 · Thumbnails target, titles promise
Breaks down how a single thumbnail element can silently filter the wrong audience in before the title is read, and introduces the 'fourth P,' persona: making explicit who a video is for so the right viewer self-identifies.
07:22 – 08:48
06 · Match the click to the promise
Covers matching social proof in the hook to whatever claim earned the click, and why a title that sets one expectation but delivers another breaks trust immediately.
08:50 – 10:13
07 · Raw versus polished is an audience decision
Uses a deliberately raw, badly-produced video that outperformed slicker content to show production quality itself sends a trust signal, and that the right polish level depends entirely on what the target audience expects.
10:14 – 13:41
08 · Viewer satisfaction beats any single metric
Explains why CTR and retention percentage are too noisy read alone, details the composite of signals used instead, and walks through two diagnostic examples: a wandering eyeline that outs a teleprompter, and a hard CTA that creates a visible retention cliff.
13:45 – 17:39
09 · Delivering hard topics and judging real success
Closes with how to teach technical material without losing viewers, how long to wait before judging a young channel's video a flop, and why one correctly validated format can be enough to transform a channel and the business behind it.
Lines worth screenshotting.
- A good video idea should make you nervous to post it; genuine conviction, not overconfidence, is the real signal that an idea deserves full production effort.
- Committing 100% of your effort to an unvalidated idea makes it impossible to later tell whether a flop was the idea or the execution.
- Copying what already works inside your own niche caps you at parity with competitors; real advantage comes from importing formats proven with a similar-psychology audience elsewhere.
- The 'speedrunning' title format was validated twice, in gaming and then in drop-shipping, before it was safe to adapt into cold-calling content.
- To find winning formats outside your niche, run the same deep research process you use inside it, aimed at niches whose viewers share your audience's goals, not their topic.
- A brand-new channel's only reliable KPI is views, because without enough traffic you can't tell a bad-fit audience from a broken funnel.
- Once a channel has real traffic and basic attribution tracking, high views with no sales isolate the problem to the funnel, not the content.
- A single thumbnail element that only resonates with one audience segment silently filters out everyone else before the title is even read.
- Naming who a video is for, directly or indirectly, in the hook or thumbnail is what makes the right viewer feel the video is 'for them.'
- Whatever social proof shows up in the hook has to match the specific claim that earned the click, or the click itself teaches distrust.
- A deliberately raw, badly-produced video can outperform a polished one because the roughness signals the creator isn't trying to sell you anything.
- CTR and retention percentage are both noisy in isolation; a video with a 2% CTR or 6% retention can still make hundreds of thousands of dollars.
- Positive-comment-to-view ratio and comment sentiment in the first days are a leading indicator that a video will pick up momentum weeks later.
- A small tell like eyes drifting toward a teleprompter can quietly tank a video by breaking the sense that it's a personal, unscripted moment.
- A single hard call-to-action can create a visible cliff on the retention graph, pinpointing exactly where to rewrite the video.
- Giving away the templates or files used in a technical video keeps confused viewers watching and reads as a bonus rather than a pitch.
- A new channel can take a month or more before the algorithm has enough signal to push its videos, so early flops aren't proof the content is wrong.
- Check a supposed 'winning' example's post date and whether its views are organic before copying its pattern; stale or paid-traffic examples aren't real signal.
- It only takes one correctly validated format to transform a channel and the business behind it, which is what makes the upfront research worth the time.
Calculated bets beat guessing on every video
RESEARCH DISCIPLINE
Long-form growth comes from treating every video as a calculated bet validated by cross-niche research, not a raw output quota, and from diagnosing performance through viewer satisfaction rather than any single vanity metric.
01Confidence is the real research metric
- Treat nervousness before publishing as a positive signal: if you're not a little scared the video might flop, you probably haven't validated the idea enough to justify full effort.
- Full effort only pays off after the idea passes research; committing 100% to an unvalidated idea makes it impossible to tell later whether a flop was the idea or the execution.
02Steal formats from outside your niche
- Copying what's already working inside your own niche only gets you to parity with competitors doing the same thing; it can't produce a format that beats the market.
- A format doesn't need to be original to work in a new niche, it needs proof it works somewhere and proof the underlying audience psychology transfers.
- The 'speedrunning' title format moved from gaming, to drop-shipping, to cold-calling content, each step taken only after the prior one validated a piece of the bet.
03A repeatable process for finding those niches
- Build a research routine, not a one-off search: apply the same deep-dive process you use on your own niche to a list of adjacent niches your viewers overlap with psychologically.
- AI tools can generate the initial list of adjacent niches to search, but the research method itself, studying titles and thumbnails for repeatable patterns, doesn't require them.
04Views first, until conversions become the bottleneck
- A channel with too little traffic can't diagnose its own conversion problem, because there isn't enough data to separate a bad-fit audience from a broken funnel.
- Once a channel has real traffic and basic attribution tracking, a high view count with no sales isolates the problem to the funnel downstream of the video, not the content.
05Thumbnails target, titles promise
- Audit your own thumbnails for elements that only make sense to one segment of your actual audience; they filter people out before your title gets read.
- State explicitly, in the hook or thumbnail, who the video is for, even if the content also helps people outside that group; being named is what makes someone feel it's for them.
06Match the click to the promise
- Whatever authority or social-proof claim shows up right after the hook needs to match the specific promise that earned the click, not just your credibility in general.
- A title that sets a low-awareness expectation but delivers a narrow pitch breaks the contract the click was made under, and costs you trust.
07Raw versus polished is an audience decision
- There's no universal answer on production polish: a sophisticated B2B audience expects a different level of finish than a scrappy how-I-made-money audience.
- Deliberately rough production can work as a trust signal, because it implies the creator isn't optimizing to sell you something, so the claim in the title reads as more credible.
08Viewer satisfaction beats any single metric
- Don't anchor on CTR or retention percentage alone: videos with a low CTR or low retention can still be the most profitable on a channel if they reach and satisfy the right people.
- Track positive-comment-to-view ratio and comment sentiment in the first days after posting; a disproportionately positive early reaction is a leading indicator a video will pick up steam later.
- Look for small, specific production tells when diagnosing a flop, like eyes drifting off-camera or a retention cliff right after a hard call-to-action, rather than guessing at the thumbnail first.
09Delivering hard topics and judging real success
- When explaining a technical process, deliberately lower the reading level and lean on analogies your specific audience already understands, rather than assuming domain fluency.
- Hand over templates or files referenced in a technical video; it keeps confused viewers watching and reads as a free gift rather than a sales tactic.
- Give a new channel at least a month of consistent posting before judging a video a failure; the algorithm needs a large enough sample of your content to know who to show it to.
- Before copying a pattern from an old 'winning' video, check its post date and whether its views trace to organic growth or paid traffic; a stale or ad-boosted example isn't real signal.
Terms worth knowing.
- CTR (Click-Through Rate)
- The percentage of people who see a video's thumbnail and click to watch it. Treated here as a noisy metric that can't be judged on its own.
- Depth-First Search Approach
- A research method of fully mining one niche's title and thumbnail patterns for what already works, then applying that same process to niches adjacent in viewer psychology.
- Viewer Satisfaction
- An informal composite score combining like-to-view ratio, comment-to-view ratio, comment sentiment, watch time, and session duration, used in place of any single metric to judge whether a video actually worked.
- Session Duration
- The total time a viewer spends on a channel across multiple videos in one sitting, not just the length of the video they originally clicked.
- Attribution Tracking
- Tooling that traces a viewer's path from a video to a landing page to a booked call or sale, used to find exactly where a funnel is losing people.
- Evergreen Video
- A video whose view count keeps climbing steadily over time instead of spiking once and dying out, checkable through a browser extension that graphs view history.
Things they pointed at.
06:01toolHyros
16:26toolView Stats browser extension
Lines you could clip.
00:34
“You know you found a good video idea when you're literally nervous to put the video up.”
01:51
“You don't want to copy what's working within your niche, otherwise you're never going to beat the market.”
10:00
“We've had videos with hundreds of thousands of views with a 2% click-through rate. The Glen Coco video had 6% retention, but it made hundreds of thousands of dollars.”
12:56
“If it feels like you're reading from a teleprompter, even though it's a small thing, from the viewer's perspective they're like, well, I know this video is scripted, so it's not really a personal YouTube video.”
17:29
“It might seem pointless, but it's from that research you get random insights like this, and it only takes one video to blow up your channel and completely transform your business.”
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What are the things to think about when hooping mindset or doing like more long form?
long forms quality over quantity first and foremost so with short form you can obviously test ideas which are basically the hooks and angles at a much higher frequency but you can't properly test a youtube video idea if you don't do the video properly you have to like put effort first and that's why the research process is so much more important with youtube because you have to do the most possible due diligence before you make the video so that you're making the highest calculated shots with every video that you make because you want to be to go into making a youtube video with the utmost confidence that if you do that youtube video right it's gonna work you know you found a good video idea when you're literally nervous to the video up you shouldn't be feeling like i don't know if this is gonna work because if that is the case then when you've made that video and posted it under performance you can't even diagnose whether it was the video quality itself or whether it was the idea because you probably didn't put 100 into that video if you weren't utmost confident that the video was the right video to make you're subconsciously going to hold yourself back whereas if you do the diligence you're like from there it's like i don't want to this up i'm going to put so much effort into it and then you do that as much as possible but you only do it as much as possible after you've done the first part right so that's why you know we're often doing one videos a week for clients and that's what we recommend some clients can do two videos a week once they're more used to it but
we only recommend that at the point where we feel confident they can do that because we want to be able to diagnose the problem if something does underperform the research that's also more clarity of like what it is that you research because from the examples it looks like you get the titles and the thumbnails from like unrelated niches yeah and maybe you're just proving the concept itself you're talking about popular within the niche and then outside of that it's like you're going to other niches to sort of grab the you don't want to copy what's working within your niche otherwise you're never going to beat the market my goal is always to build the number one channel so you have to do something better you want to understand what's working with viewers who have similar psychology to the viewers in your niche because you're trying to make the most calculated bets as to what's going to beat your market but you don't just want to experiment and be innovative in your niche fully and just come up with ideas because you don't know if it's going to work that's why people say like take stuff that's working from other niches and take it to yours the real reasoning behind that which is the more important lesson is you're trying to understand what's resonating with viewers
right now that have similar psychology to the viewers of yours. They think the same. They have the same intent behind the views of why they're watching those videos.
And so you can logically assume that if it's working to a statistically significant level with that audience across YouTube in multiple different niches to such a degree to us producing massive outliers consistently, you can make a pretty calculated bet that it will resonate somewhat the same. That's the way I think about it.
And that's why you take stuff from other niches.
pretty much correct basically we found it in the drop shipping niche it was speed running an entire shopify store brackets i show everything that was the title and then it was a raw thumbnail previously speedrunning has been a format that's worked on years for youtube in the gaming niche so it's already validated what hadn't been validated was does it resonate with a business minded audience that wants to make money and then it got validated by that drop shipping video which proved that that type of viewer resonated with the word speed running which was the part that was unproven previously that's when we had the confidence to then take it and adapt it and put it in this niche which was cold calling was the topic but the niche was really making money with sales and cold calling and lead gen because obviously that a thousand dollar part resonates with anybody who wants to make money cold calling is just the mechanism but if somebody wants to do cold calling they resonate with that video highly too for somebody who doesn't have like all this ai stuff what would your recommendation be to find the winners in the niches outside because obviously the research that you've suggested it's like you're searching your niche so you're only going to receive the stuff in your niche right or your topic
So what would you say to do to find other things that are winning, not directly related to you? When I went through that Dev First Search approach, which is how you research your niche fully, you just apply that to niches that are adjacent to yours. If I'm in the Facebook ads niche, that's basically about growing my business through some sort of like platform getting reached.
So I know if I look in the YouTube growth niche, if I looked in the LinkedIn growth niche, the social media growth niche, the general business niche, because obviously business viewers are in there as well. They want to grow their business. Called email, lead generation.
All of those are adjacent niches where I know the viewers have same intent, same. goals same way of thinking even youtube growth even though that's not business owners the intent behind the view is the same they want to grow their youtube channel people want to grow their business you can use ai to help you come up with that list and then you just apply that depth first search approach to those niches to get that visibility that you need how bullish are you in terms of like view count compared to like actually conversion are you focused on getting a top of funnel as much as possible or also are you in tandem thinking right what's something that can be really bottom of funnel value based that mightn't get 10 % of the UA.
So it depends on what their immediate goal is and also where their channel's at. So like if they're starting from zero, my priority first and foremost is obviously to get them traction. And so views is the primary KPI.
If they're somebody who's already got a big channel, but they've got low conversions, then I'm obviously going to diagnose that bottleneck. And that's where targeting more bottom of funnel content might come into the picture. But in the majority of cases, it's more the case of like the business and the brand is failing at YouTube or they're not doing as well as they should be.
People say like views doesn't matter and these sort of but at the end of the day if you don't have enough views and you don't have a large enough data set to actually make decisions how do you know you're not converting effectively from youtube if you're only getting 100 views per video whereas if you're getting tens of thousands of views per video and logically you look at your title and expectation that you're setting you're like that attracts the right audience you don't need to know the exact data behind each view you can logically make the assumption of am i attracting the right audience within these 10 000 views and if you're still not getting conversions you've isolated the bottleneck traffic's not the bottleneck and so then if you've got proper tracking set up as well downstream where you've got attribution tracking to some level whether it be using hires track you you're going to be able to identify that bottleneck and maybe it's in the funnel maybe you're actually attracting the right viewers and the 10 000 views are the right people but you've got a massive drop off from how many landing page views you have to how many calls you boot to the booking rate getting the traffic first is always my priority because
then I can make better decisions when I have big data.
One of the thumbnails that we're using has a stripe notification in the thumbnail which only resonates with people who aren't econ brands because the thumbnails the first thing that they see that's the targeting that's what captures the nest of people and then the title is like the promise that you're making which resonates with all the people that do see the thumbnail but you are correct though that that is something to very much think about as well you want to be careful about because with sam for example he only works with e -com but in his videos we do the hook the proof promise plan another thing that you can have in which is silent the fourth p which is persona and so whether that's direct or indirect you want to make it clear who the video is for overall we say e -commerce brand first so that they know it's for them primarily but then the other people resonate with it too because we also mention them so we actually are explicitly like naming the whole market but making sure we also explicitly mention the actual core target market i wouldn't even say but whether you're an e -commerce brand or these other ones as well because in their mind it's like oh you mentioned my name i'm that so it must be for me
You want to match the social proof to whatever the video they're clicking on is for because you are trying to prove authority for the thing that they clicked for. So yes, that's actually very good question. You need to make sure it matches whatever they clicked for.
Give them a reason to trust you. Like that's super crucial. You can't miss that.
That's where a lot of people go wrong.
because people clicked for the album? It depends on what the title is. So it's like, what is the expectation that you set?
So for example, with that one, the thing that the viewer is thinking when they're clicking on that title is, wait, what? Like if I don't understand insulin, I don't understand fat loss. how that's like one of the things that you are going to explain early on because otherwise if we're taking too long to get into that they're going to be like oh she's dragging it right and then they're just going to click off and so yeah it's very important there for us to kind of sell the reason why or at least allude to it to get them to watch longer but then you've got videos like the best business model for beginners in 2026.
that's super low awareness to where like when imangazi did that video sales letter that really popped off like if he started talking about yeah the best business models social media marketing agency and in this video i'm going to tell you how to start one it's like that doesn't match what they were going to get to they were expecting you to go through the process of like what are the different business models what's the best one right so you have to understand what they're actually clicking for and what expectation and what frame are they coming in with and make sure you're like matching that for the videos you make does it really make a difference between the highly edited stuff or raw stuff does it depend on the audience it depends on the expectation that's being set and you have to understand your audience like it all comes back to understanding your audience well enough and then understanding what's working well on youtube across the board well enough and then combining all of that information to be able to make decisions because for example if you're targeting a highly sophisticated b2b audience and then you make video that looks like it was created for like a drop shipping audience it's not going to resonate that well if it's like a facebook guys tutorial that's like in this video i'm going to be talking about you know like come with energy it's not going to resonate with that audience but if you're doing that with a drop sharing
that actually might be what they want so you have to understand your audience and how they behave and it's also the expectation that's being set so for example in that Glen Coco example that was what they were clicking onto lowercase title as if some guy who doesn't even know YouTube just made the video and threw it together and it's a raw thumbnail so it's not conventionally good on YouTube so he clearly doesn't care so it disarms the viewer and makes them feel like the outcome that he is claiming in the title is actually true because they're like why would he lie about this he's clearly not a YouTube guru he's just actually saying he just made a thousand dollars and so when they click on that video if it was then highly edited it's like oh i got bait and switched but instead it's like a very raw video where it's like yeah this guy just doesn't give a fuck he's just making the video valuable he's not trying to optimize for retention in this shit and it didn't optimize for attention it got terrible retention but it got high viewer satisfaction because it attracted the right audience and it met that audience's expectations in alignment with what the video title and thumbnail was you said viewer satisfaction is the goal and you also mentioned that ctr
was like a noisy metric. How are you tracking viewer satisfaction as actually data? Yeah, so the difficulty is, is that viewer satisfaction is kind of the term that's being coined or that at least I use, but it really is a culmination of multiple different things.
Part of it might be the effectiveness of the thumbnail and click -through rate, but you can't really diagnose a good or bad click -through rate because we've had videos with hundreds of thousands of views with a 2 % click -through rate. Same with retention. The Glen Coco video had 6 % retention, but it made hundreds of thousands of dollars.
So that doesn't matter. The different things that contribute are the likes of like to... view ratio positive comment to view ratio and comment sentiment watch time obviously plays a factor but it's in combination with all these other things and inclusive of that session duration as well so not only do they go ahead and watch that video but they spend an hour plus on your channel in that given session because youtube loves that obviously because it keeps fuel on that platform so it's all these different things and so it's less about hitting these specific numbers and if you're below this number on click -through rate then that is the bottleneck it's more like okay this video is underperformed and you have to look at all of the diagnostics and drivers of which is everything that i've just mentioned and be intelligent and understand oh i didn't do this thing that could actually have been the contributor and The next time not doing that thing.
One thing that I've seen very strong correlation with, with when a video is early and it hasn't performed well yet, but there's an early sign to where this thing happens. And then a week, two weeks later, that video pops off is positive comment to view ratio and the comment sentiment. So when I'm seeing a video's got hundreds of views, but it's actually got an overwhelmingly high percentage of positive comments saying this is such a good video here before this blows up type of shit.
When I see that very strong correlation between a week or two later, that video performing very, very well, providing obviously the comments aren't bothered and it's actually organic. So that's a good leading indicator.
If you're getting a lot of views and there's no comments, that's a bad leading indicator to where it's like, I've seen a lot of times the videos will slope off soon after that is happening. You just have to basically do the right things. in order to drive that metric whilst kind of flying blind a little bit as to there's no strict kpi on session duration or click -through rate so for example at the end of every video you want to push them to the next video because that increases session duration can you quantify the impact of that no but is it going to have a positive impact on your channel and also conversions because they watch more of your channel in a given session and therefore you build more trust yes how do you systematize that because that's just like so much expertise like how do you get your team to like just constantly do that well i work one -on -one with all my clients.
So I might actually have a good answer. But like, I've obviously systematized the rest of the process to such a degree to where I only focus on this. And because I've got so much experience, it's like, I look at it, I'm like, oh, straight away it's that.
You know, sometimes it can even be as simple as like, okay, this video didn't perform very well. Okay, let me dive into the video itself and see why it hasn't performed well. Oh.
I can see very slightly that the creator, the brand, the business owner is looking slightly off camera because they're reading from a teleprompter. Such a small thing, but it fucks the entire video. If it feels like you're reading from a teleprompter, even though it's a small thing, from the viewer's perspective, they're like, oh, well, I know this video is scripted, so it's not really a personal YouTube video, which is the nature of YouTube.
Therefore, low viewer satisfaction. They can't get that out of their head. They click off.
So it can be small things like that. Or you might be like, okay, this video is underperformed. Let me go to the retention graph.
Even the retention itself doesn't matter as a... percentage it was actually pretty solid but then there's a massive dip here what did I do here oh I gave a hard call to action makes sense the analytics is there to be signal but you have to dig further it's just signal and then the diagnosis actually happens further not looking at the analytics of CTR and be like oh is that let me switch the thumbnail How does that affect how you should deliver the actual video in and of itself or how it should be edited, et cetera?
What's the example? So I've seen this video a couple of times, like how to make a one -handed agency.
Are you asking it more from a place of like how do you package it with editing and stuff when I'm gonna be like walking through building a ton of shit or you asking it more from a place of I don't know if they're gonna understand what I'm saying. That's more about figuring out how to actually dumb it down and actually make it in a way that makes sense and explain it in a way where it's like a low reading level use analogies that they would resonate with and they would understand in their brain in order to teach the thing i don't know how technical it truly is like what is an example of what you're teaching them how to build technical from the standpoint of you're going to be sharing your screen and going to be navigating around the softwares and stuff like that and at the end of the day you've just got to do your best to make sure they're understanding and able to follow along because if they're getting confused then they're going to click off the video because like well i can't follow this and you can obviously do the diligence before the video to go back and forth and spar with ai to ensure that what you're delivering in the way in which you're walking them through the video is in a way that they understand and you just go through that back and forth the way that people do it for example in your niche is if it is super technical
and you know the viewer's gonna be thinking, well, I'm not fucking building that because where do I even start? That's where you give them the templates and the description. So you give them the free templates to solve that problem so that they can keep watching and following along.
And also that gives them additional value as well because it's like, oh shit, like I wasn't expecting to get the actual thing that he's walking through how to build in the video for free. So it actually increases viewer satisfaction as well. And also you can put that behind an opt -in, which then instead of it feeling like a take through a call to action, it's actually a give because you just gave them something for free and they don't actually feel like.
they've been sold to I've seen other videos where they're like a thousand views after like three months and then people are like hundreds of thousands like when do you actually measure like whether a video is actually successful or not it really depends because we've had lots of videos for clients where that's the case especially with newer channels where like sometimes you don't get traction in the first month because the algorithm just hasn't got the confidence to actually push your channel yet because it doesn't know who your target viewers are you have to have a larger sample size of videos in time with that you want to look at the views that it's got but you also want to look at when it's posted because also as well videos that were posted a year plus ago in a niche where relevancy matters for example ai you can't really use that as signal right now all the time because oh claudebot got loads of views that's something that's trending in the ai niche a year ago so
So if you do a video on that now, you're dead in the water. That's like a prime example. You just want to take all the signal you have.
How many views does it have? When was it posted? Check the number of comments as well, because a lot of people just run paid ads to their videos.
And so you need to make sure it's actually organic traffic. Otherwise, you might take signal from a video that actually flopped, but got 2 million views from paid ads. You can check the view graph with view starts extensions.
What I use for extension, you don't need to pay for the tool. And you can see the view graph and see if it's evergreen. So you can see the trajectory.
You just have to take all of it as signal and do what you can really. There's no right or wrong answer to that. I'm just curious.
This guy. After this, you see this work by that vibe. You know, all of his videos sort of give off that same vibe.
Yeah. Once you have the data, how do you actually and hit winner after winner? But yeah, so this wasn't the first one.
The first one was this one here. And so you can see that two different videos. That was the first one we did.
And then we doubled down with this one here that actually beat the previous one. And this also generated hundreds of thousands of dollars. So it's like, this is why I'm saying the value of finding a format.
like this which was the speed running format is incredibly valuable that's why i'm saying place so much emphasis on the depth first search approach and doing that research because like it might be tiresome and it might seem pointless but it's from that research you get random insights like this to where it's like you can just have that one video and all it takes is one video to blow up your channel and completely transform your business and build your brand
The Hook
The bait, then the rug-pull.
A YouTube growth consultant opens with a blunt question from the crowd: what's the mindset shift required to make long-form content instead of short-form? His answer turns into a live audit of the entire research process that decides whether a business YouTube video is worth making at all.
Named ideas worth stealing.
03:44concept
Depth-First Search Approach
Fully mine your own niche's title and thumbnail patterns for what's already proven, then apply that same process to niches adjacent in viewer psychology, not topic, to find validated formats outside your space.
Steal forany weekly-upload content research process
07:27concept
The Fourth P: Persona
Beyond hook, proof, promise, and plan, make explicit, directly or indirectly, who a video is for so the target viewer self-identifies immediately.
Steal fortitling and hook-writing for any niche
10:14model
Viewer Satisfaction Composite
- like-to-view ratio
- comment-to-view ratio
- comment sentiment
- watch time
- session duration
An informal scorecard used instead of any single metric like CTR or retention to judge whether a video actually worked.
Steal fordiagnosing any piece of content's real performance
How they asked for the click.
FROM THE DESCRIPTION
AFFILIATECommission earned if you click.
Visual structure at a glance.
