Brandon Shepherd retweeted
How did this not exist until now? 😭 Feels like part of the OS for me already after 2 min
Refbox is #6 out of 300 products today on Product Hunt!
This has been such a fun project to build, and it's so exciting to see how many people are using it now.
Think we can break into the top 5?
Brandon Shepherd retweeted
People always say “designers make great software founders”, and point to big companies like Airbnb.
So here are three new examples of designers who are building software.
And their software is freakin gorgeous.
- @EnriTarta and @tryflask
- @DesignerBran and Refbox
- @ridd_design + @kbarber and @inflight
Who else?
Brandon Shepherd retweeted
Refbox is officially live!
It's a tidy floating reference board for images, gifs, videos, and notes.
I honestly couldn't live without it now.
👉Get it 20% off for the next 24hrs! Link below
Brandon Shepherd retweeted
Here is YouTube’s recommendation lead explaining how the YouTube algorithm works.
If you listen to this, you will understand why niches, outliers, and repeating / innovating on what works matters.
Brandon Shepherd retweeted
Some YouTube thoughts going into 2024:
- watch time is still king, make longer videos
- some creators get pulled so quickly into "bait" strategies that work for other creators who basically won the lottery. Basic thumbnails and slow edits might work for Sam Sulek, it probably won't work for you
- many channels have lower views this year but the same or more revenue, just an observation from many large channels
- time spent does not equal results on YouTube, some creators' biggest videos were made in a fraction of the time. People wanted it more, that's it
- stop worrying about Average Views Per Viewer or other metrics and focus on things that move the needle
- things that move the needle are 1) concepts/video ideas 2) thumbnails 3) pacing and tension
- storytelling is only important in that people want to see 1) progression (getting better, faster, stronger, etc) and 2) tension/curiosity
- tension oversimplified definition: if you get viewers to wonder any form of "what's going to happen?", they won't leave
- as YouTube grows, more money gurus will flood the market like any other business sector. Remember this, never trust advice from anyone who hasn't done it themselves
- confirmation bias is a trap on YouTube, always question your own theories as to why something is or isn't working (e.g. "we used green grass and blue sky on this thumbnail and it worked, let's do it on every video!")
- YouTube and content creation are the modern day 70s/80s rock band, anybody has cheap and easy access to become the next MrBeast but it still takes years of talent and hard work
- creators uploading slightly above average videos more frequently will often beat creators who put more time, energy, and money into less frequent uploads. Unless you're MrBeast
- AI thumbnails are a thing, a very real and effective thing. Use them.
- one good concept idea on an established YouTube channel can be worth literal millions of dollars and change lives, this is why surrounding yourself with the right team is the most important thing a creator can do
- I used to make $44k a year as a teacher, I've created single videos that have made over $100k. Random thought that makes me equally sick and impressed. YouTube is special
- give each video your best, post it, learn from it, move on. Do that over years and never skip the learn from it part
- the only thing that truly matters on YouTube is "does a large audience want it or not?" Unless you make videos just for yourself, then do whatever you want to do
- faceless YouTube channels are way harder than people make it out to be, especially long term. keep your day job.
- the creators that 'make it' are the creators that don't do it just for the money, but because the love putting the puzzle pieces together. Nobody will complain about more money but longevity requires passion and obsession for learning on YouTube
- stop caring about the 1/10 ranking system. 1s fall off and 10s pick up. Stop basing your mood and attitude off a pointless number that can change anytime, learn from both 1s and 10s and move on to the next
- to drastically change your views, you have to drastically change your content style or niche. I did the same thing in one niche as another down to the exact same songs, format, and words--but one niche gave me 1 million views per vid avg vs 100k. Bigger audience >>>
- YouTube is about view floors and ceilings, you can be the best creator on all of YouTube but if you're in a small niche then you are hard capped to a certain audience. Find the bigger audiences and give them what they want
- the YouTube algorithm isn't perfect but it is VERY good at what it does. if your video is worth watching, YouTube will find the audience. If it's not, improve until it is
- YouTube is fun, enjoy it
I think that's about it for now, follow if you liked this and might do another. God bless.
Brandon Shepherd retweeted
Long-form creators on YouTube need to know which metrics are important to pay attention to and which ones aren’t. Here’s a long list of the most common metrics that have been talked about so far and which ones I believe are important when trying to judge a piece of content in an objective way.
Impressions: With anywhere from 15% to 80% of impressions not being counted or being counted wrong, this number is not accurate enough to rely on.
Views: Views, or views within a certain timeframe, are your most reliable metric on YouTube. Even though what YouTube counts as a view is still up to them, this number gives you the best idea of how well your video did.
Click-Through Rate (CTR): We can't make decisions about individual content based on this metric because it has a low correlation with views as a performance metric.
Average View Duration (AVD): AVD depends too much on how long your content is, but even when we compare videos that are about the same length, we don't find the correlation we need to make good decisions.
Average View Percentage (AVP): Like CTR and AVD, this metric has a low correlation with views as a performance metric. Because of this, I would never suggest that someone use this metric to judge how well a piece of content is doing. However, when trying to read and understand retention charts, relative average view percentage becomes much more important when interpreting the significance of a drop in the middle of your retention charts.
Watch Time: The watch time is affected by both the number of views and the average length of each view. It's a metric we can use in part to try to figure out how well brand integrations convert. But there are better ways to figure this out because it doesn't tell us how many people didn't listen to the ads. In this case, it's best to use both views and percentage of views in your retention charts.
Subscribers: Even though the value of a subscriber has dropped a lot, it can still tell us about the growth of our community and how well a video connects with our audience. But it's also important to look at how many subscribers were added and how many were lost. Overall, it's not a great metric because conversion also depends on the content, which is why I don't look at it that much.
Unique viewers: It’s a great metric to understand true reach, especially when used in combination with views.
New VS Returning Viewers: Even though YouTube puts a lot of weight on this metric, I haven't found it to be too useful. It's not clear what makes someone a new or returning viewer, which makes it hard to use this metric for analysis. I do think this metric will be helpful in the future, but it only tells us a very small amount of information. We still don't know which parts of our content new viewers like and which parts return viewers like. This metric would become invaluable when integrated with retention charts.
Likes & Dislikes: Unfortunately, as creators and analysts, when people like and dislike a video, it’s hard to interpret this data without further insights. It depends a lot on how many people see it, and a simple call-to-action can make a big difference. On top of that, it only shows how a certain type of audience feels, which is why you'll see either a very high ratio of "likes" to "dislikes" or a very low ratio of "likes" to "dislikes." As users, we don't know enough about a single user's likes and dislikes and how it relates to our content.
Revenue: This is a good metric to keep an eye on. The problem with views is that it doesn't take into account who we want to reach. Some types of content aren't likely to reach a large audience, and views don't show this. Revenue on the other hand, when combined with RPM, does. The amount of money we make from our channel also helps us figure out how healthy our business is. It shows us potential plans for growth and gives us ideas about how to grow our team.
RPM: RPM can tell us a lot about our users' ages and where they live, but we have to be careful about how we use this metric. It’s content dependent and gets influenced by factors such as seasonality. However, it can show us problems with how we place ads. Too many creators still let YouTube place their ads automatically, even though it has been shown that putting them there by hand increases RPMs on channels.
CPM: This isn't a useful metric because it’s not truly valuable for the improvement of content to know what advertisers are paying. RPM is a significantly more useful metric. However, I do like that this metric is shown because it shows how much of YouTube's income creators get. It helps build trust between YouTube and people who make videos.
Browse Traffic: Insights from our browse traffic can show how well we are doing with people who have already interacted with our content or who YouTube thinks are a good fit for it. It also shows how people interact with our content when they are trying to find content to watch.
Search Traffic: I don't like to use search traffic to figure out how good a keyword might be, but I do like to use this information to make user profiles for viewers with specific interests.
Suggested Traffic: Suggested traffic shows us our ability to reach a wider audience, but it also tells us more about how well our video attracts people who are watching other content pieces on YouTube.
Other Traffic Source: Other traffic sources don't give us a lot of useful information that we can use, unfortunately. But end screen traffic can tell us how well our end screen strategies are working. End screen strategies are often undervalued for how well they work.
Geography: Geography is a useful metric because it shows how people from different cultures watch our content. It also helps us see how important it is to use the metric system instead of the imperial system in a lot of cases. Or to use neither system to avoid any type of confusion.
Cities: This metric is only useful when integrating brands. Other than that, it isn't very useful.
Viewer Age: This metric isn't very useful in a lot of situations, which is a shame. We can only use this metric to some degree when it's clear that the audience is in the older age ranges. As soon as our audience gets a little bit younger, we'll realize that this metric is no longer useful.
Viewer Gender: This metric is a great way to figure out who we're reaching and if we need to make changes because we're turning away the other gender. This is important sometimes, especially when our content is meant for both men and women. Sometimes it's important to remember that 95% of our audience is one gender, so we don't try to reach the other gender when our content isn't really meant for them.
Device type: This seems like a metric that isn't very useful, but it really helps us figure out how our audience consumes our content.
Retention Chart: Together with views, traffic sources, and interest insights, I think this is the most useful information on the YouTube dashboard because it helps us figure out what people found interesting and what they didn't. It also shows how well we can keep their attention and lets us know when we're having trouble appealing to a wide audience.
Even though most of this information is current as of the time I wrote this tweet, I think YouTube will change their dashboard in ways that will change how we can use some of these metrics. In the end, I think that views, views over time, revenue, and retention charts are the most important metrics. I think that these metrics can almost tell you everything you need to know about a successful channel.
Brandon Shepherd retweeted
The longer you can hold a viewer engaged on YouTube, the more $ you will make.
This is RPM by viewer duration for a large channel:
Brandon Shepherd retweeted
12 Sales Training Basics For Beginners
(read to the very end to find a special little thing I have for you)
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Brandon Shepherd retweeted
The highest-paid copywriter in history: Gary Halbert.
His legendary sales letters generated over $1,000,000,000 in revenue.
And in one of his very last letters, he shared 12 time-tested strategies for writing better copy, faster.
Here's a breakdown of each one:
Brandon Shepherd retweeted
This is my 5 year story about becoming a far better storyteller.
Goal: Tell a story as well as Neil deGrasse Tyson.
It started with me podcasting to share stories with friends. Every time I spoke, however, I sounded lifeless like a stressed-out amateur.
Why?
Brandon Shepherd retweeted
The more you create, the more powerful you become.
The more you consume, the more powerful others become.
Brandon Shepherd retweeted
I built a design portfolio that’s generated 6-figures in client work.
And here’s how you can too.
👇 THREAD 👇
Brandon Shepherd retweeted
"Holes" Sploosh Logo and Packaging Design (posted by @bransshep) #1 on DN: youtube.com/watch?v=26WFC5gS…
Brandon Shepherd retweeted
"Take a simple idea and take it seriously."
—Charlie Munger
Doing a few sets of pushups each day is a simple idea.
Saving at least 10% of your income is a simple idea.
Sending Thank You notes is a simple idea.
...but most people don't take simple ideas seriously.
Brandon Shepherd retweeted
Powerful Color Tools for Designers 2020
👉 youtu.be/9LkptYmFPfw
#uidesign #color #design #uxdesign #graphicdesign #webdesign #designtools @mackenziechild @calcolor_co @brettsshep @bransshep



























