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The Entire Shorts ALGORITHM Explained 2026

0h 07m video Transcribed Jun 17, 2026
Beginner 3 min read For: Beginner to intermediate YouTube Shorts creators looking to understand the algorithm and improve their video performance.
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AI Summary

This video explains how the YouTube Shorts algorithm works, focusing on why Shorts often get a spike in views then go flat. It covers the seed audience testing process, key metrics like viewed vs. swiped away, and tips for improving retention and hooks.

[0:37]
Seed Audience Testing

The algorithm selects a random seed audience to test your Short. If they engage, it pushes to more similar viewers; if not, views stop.

[2:24]
Viewed vs. Swiped Away

The key metric is 'viewed vs. swiped away' (percentage of viewers who intentionally stop to watch).

[3:19]
Benchmark for Viral Shorts

Paddy Galloway's study of 5,000+ Shorts found viral Shorts have 70-90% viewed percentage; 60% or less underperforms.

[4:29]
The 3-Second Hook

The first 3 seconds are the hook, equivalent to a long-form video's title and thumbnail. Use curiosity-sparking lines or visuals.

[6:19]
Retention vs. Watch Time

Shorts algorithm prioritizes audience retention (90-100% ideal) over average view duration, but longer Shorts with good AVD can still perform.

[7:05]
Best Short Length

Let the story dictate the length; some niches need quick shorts, others benefit from storytelling.

Clickbait Check

85% Legit

"The title promises a full algorithm explanation, and the video delivers exactly that, including seed audience, metrics, and tips."

Mentioned in this Video

Tutorial Checklist

1 0:37 Upload a Short and let the algorithm test it with a random seed audience.
2 2:24 Check your 'viewed vs. swiped away' percentage in YouTube Studio.
3 3:19 Aim for a viewed percentage of 70-90% or higher for viral potential.
4 4:29 Craft a hook in the first 3 seconds using curiosity-sparking lines or visuals.
5 6:19 Focus on audience retention (90-100% ideal) rather than total watch time.
6 7:05 Let the story dictate the Short's length; don't force a specific duration.

Study Flashcards (6)

What is a seed audience in the YouTube Shorts algorithm?

easy Click to reveal answer

A small group of viewers randomly selected by the algorithm to test your Short.

0:37

What is the key metric for Shorts, equivalent to CTR in long-form videos?

medium Click to reveal answer

Viewed vs. swiped away (percentage of viewers who intentionally stop to watch).

2:24

According to Paddy Galloway's study, what viewed percentage do viral Shorts typically have?

medium Click to reveal answer

70-90%.

3:19

How many seconds do you have to hook a viewer in a Short?

easy Click to reveal answer

3 seconds.

4:29

What does the Shorts algorithm prioritize over average view duration (AVD)?

hard Click to reveal answer

Audience retention (percentage of video watched).

6:19

What is the recommended best length for YouTube Shorts according to YouTube employees?

medium Click to reveal answer

Make a short that aligns with your story.

7:05

💡 Key Takeaways

💡

Seed Audience Randomness

Explains why Shorts often fail: the algorithm tests with a random audience that may not be your target.

0:37
📊

Viewed vs. Swiped Away Metric

Defines the critical metric for Shorts success, analogous to CTR for long-form videos.

2:24
🔧

Hook Examples

Provides actionable hook templates like 'I'm sure you don't know about...' to spark curiosity.

4:57
⚖️

Retention Over Watch Time

Highlights that Shorts algorithm prioritizes audience retention, not total watch time.

6:19
💡

Story-Driven Length

Advises creators to let the story dictate Short length, not arbitrary time limits.

7:05

✂️ Creator Tools: Viral Hooks

AI-generated clip ideas for Shorts based on the transcript

Why Your Shorts Die After 100 Views

53s

Reveals the secret of YouTube's random seed audience test, explaining why most shorts fail.

▶ Play Clip

The Only Metric That Matters for Shorts

46s

Provides a shocking benchmark (70-90% viewed rate) from a study of 5000 shorts, making creators want to check their stats.

▶ Play Clip

Mr. Beast's Secret: The First 3 Seconds

59s

Teaches the exact hook strategy used by Mr. Beast, which creators desperately want to learn.

▶ Play Clip

Shorts Algorithm HATES Watch Time

40s

Challenges common belief by explaining that shorts care about retention, not watch time, which is controversial.

▶ Play Clip

The Perfect Short Length Revealed

36s

Settles the debate on short vs long shorts with advice from YouTube employees, satisfying creator curiosity.

▶ Play Clip

[00:00] How does the YouTube Shorts algorithm

[00:02] exactly work? Why do Shorts get a spike,

[00:04] but then the graph becomes flat? How

[00:06] will the algorithm decide whether your

[00:08] Shorts will get views in millions or

[00:10] thousands? The answer to all these

[00:12] questions will be found in this video.

[00:14] Let's begin. So, we know that big

[00:16] YouTubers keep getting views on their

[00:18] Shorts, but in your case, the views are

[00:20] 100 or 1,000. But after that, the graph

[00:23] becomes completely flat. So, let's

[00:25] understand why this happens. Todd

[00:27] Sherman, who is the product lead of

[00:29] YouTube Shorts, which obviously means

[00:31] that he can tell us a lot about the

[00:32] Shorts algorithm. In an interview, he

[00:35] told that whenever you upload a Short,

[00:37] the algorithm finds a random seed

[00:39] audience for a Short. This seed audience

[00:41] is basically a small group of viewers

[00:44] with whom the algorithm wants to test

[00:45] your Shorts. Because the algorithm

[00:47] doesn't know much about your channel and

[00:49] its content yet. The word random is

[00:51] important here, because it's possible

[00:53] that the seed audience isn't your target

[00:55] audience. The algorithm randomly

[00:57] selected these audiences to test your

[00:59] Short. So, let's say that seed audience

[01:01] doesn't engage properly with your Short.

[01:03] So, after a while, YouTube stops pushing

[01:05] your content to audience, which means

[01:07] there will be almost no views. Let's

[01:10] assume that by chance that seed audience

[01:12] is your actual target audience. And if

[01:15] your content is good, then naturally

[01:18] viewers will engage well with your

[01:19] Shorts. This is the positive signal for

[01:21] the algorithm. After this, the algorithm

[01:24] finds more viewers that match the seed

[01:26] audience. If this new group of viewers

[01:27] also engage properly with your Short,

[01:30] then your Short will be pushed even

[01:31] more, and this will keep on repeating.

[01:33] So, now you must be understanding how

[01:35] the algorithm of Shorts exactly works.

[01:38] Almost every Short creator has a

[01:40] question in their mind that if our Short

[01:42] was performing well in the initial

[01:43] phase, then why did the algorithm stop

[01:45] its views? You have to understand that

[01:47] the algorithm of long video and short

[01:49] video is not the same and can never be

[01:52] the same. In case of long-form video, a

[01:54] view means that the viewer is

[01:55] intentionally choosing to watch the

[01:57] video. However, this is not the case

[01:59] with shorts because here there is no

[02:01] concept of thumbnail. Here the viewer

[02:02] watches the video through the short

[02:04] feed. This means that if the algorithm

[02:06] wants to know if your video is good or

[02:08] not, then the algorithm has only one

[02:09] option. That is testing your videos to

[02:11] seed audience. The next question that

[02:13] will come to your mind will be what are

[02:15] the important matrices which algorithm

[02:18] decided that your short has performed

[02:20] well and has been shown to other people

[02:22] besides the seed audience. The first

[02:24] metric, how many choose to view? Just

[02:26] like in long video, we have CTR.

[02:29] In the shorts, we have how many choose

[02:31] to view metric, also known as viewed

[02:34] versus swiped away. This metric tells

[02:36] you how many percentage of viewers

[02:38] intentionally stopped to watch to your

[02:39] short and how many swiped it without

[02:42] watching the video. The percentage of

[02:43] viewers who stopped intentionally to

[02:45] watch your video, only their views will

[02:47] count. Your next question will be how

[02:49] much should this viewed versus swiped

[02:51] away percentage be? So, you must know

[02:53] Paddy Galloway. He's a YouTube

[02:55] strategist and he has worked with a lot

[02:57] of big creators including Mr. Beast. So,

[03:00] last year Paddy and his team conducted a

[03:02] study where they studied more than 5,000

[03:05] shorts across 33 YouTube channels in

[03:07] different niches. According to his

[03:09] study, shots whose viewed percentage was

[03:12] 60% and less than that, those shots

[03:14] didn't perform as well. The best

[03:17] performing shorts which went viral,

[03:19] their viewed percentage was on an

[03:20] average between 70 to 90%. Again, this

[03:24] is just a study. So, I recommend you to

[03:26] not obsess over these numbers. But yes,

[03:28] you can take a rough idea from this that

[03:31] if your viewed percentage is 80% or more

[03:33] than that, then there's a high chance

[03:35] that your short will go viral. Even I

[03:37] personally, all the viral shots I've

[03:39] seen, their viewed percentage is above

[03:41] 75%.

[03:43] Now, I know that the maximum creators

[03:45] who are watching this video, their

[03:46] viewed versus swiped away ratio is not

[03:48] that good. So, now let's understand how

[03:51] to improve this number.

[03:53] So, as I said, in the case of long

[03:54] videos, we have CTR. Similarly, in the

[03:57] case of shorts, CTR is equivalent to how

[04:00] many choose to view. If we want to

[04:02] improve CTR, we work on the title and

[04:04] thumbnail of the video. That is, the

[04:06] thing that the viewers see first. So, if

[04:09] we talk about shorts, then which is the

[04:11] thing that the viewers see first? You're

[04:13] right, the first 3 seconds. So, it's not

[04:16] wrong to say that the first few seconds

[04:18] of your short, that is, its hook, plays

[04:20] the same role as in the case of long

[04:22] videos of the title and thumbnail. Now,

[04:24] in a long video, we have 30 seconds to

[04:26] hook the viewer. In shorts, we have only

[04:29] 3 seconds. This is why in both these

[04:32] formats, creating a hook is very

[04:34] different. But even though long-form and

[04:36] shorts need different types of hooks,

[04:38] the foundation of both is the same. That

[04:41] is, you have to spark curiosity in the

[04:43] viewer's mind in some form.

[04:45] You can create this curiosity with a lot

[04:47] of things. For example, depending on the

[04:50] type of video you're creating, you can

[04:51] say some lines in your hook, which will

[04:53] immediately stop any viewer who is

[04:55] mindlessly scrolling. For example, in

[04:57] the start of the short, you can say,

[04:59] "I'm sure you don't know about ABC."

[05:02] Here, simply replace ABC with something

[05:04] about which you have a video. Example,

[05:07] "I'm sure you don't know about this

[05:09] YouTube setting. I'm sure you don't know

[05:10] about this recipe. I'm sure you don't

[05:12] know about this new Minecraft update."

[05:14] And this will work as a very good hook.

[05:17] But it's not necessary that you say

[05:19] something in your hook. Because the more

[05:21] powerful a line is to grab the viewer's

[05:23] attention, the more powerful and

[05:25] intriguing visual. Let's take a look on

[05:27] Mr. Beast's shorts. Can you slice a

[05:29] bullet with a katana? Yes, sir. In this

[05:31] short, Mr. Beast shows the visual of the

[05:33] first 3 second, in which bullet almost

[05:36] hit the katana.

[05:37] But just before the climax, that scene

[05:39] has been cut so that viewers can watch

[05:41] the video till the end. But if you

[05:43] really want to make your shorts viral,

[05:45] then just creating a hook is not enough.

[05:47] You also need a good audience retention.

[05:50] When we make long videos, the focus of

[05:52] YouTube is on watch time. Because the

[05:54] algorithm wants your content to keep the

[05:56] viewer on the platform for as long as

[05:58] possible. That's why if a video is 1

[06:00] hour long and an average viewer is

[06:02] watching it for just 15 minutes, even if

[06:05] its retention is bad, the algorithm will

[06:07] promote that video a lot because it

[06:09] keeps the viewer on YouTube for 15

[06:11] minutes.

[06:12] But in the case of shorts, it's

[06:13] different. Here, YouTube doesn't care

[06:16] about AVD. Instead, the algorithm looks

[06:19] at audience retention. If the audience

[06:21] retention is 25%, then it won't work.

[06:24] The best-performing shorts have a 90% or

[06:27] 100% retention, or even more if the

[06:30] viewer watches the short again. But it's

[06:32] not like the shorts algorithm doesn't

[06:34] care about AVD. According to a study by

[06:36] Paddy Galloway, shorts with more AVD

[06:39] performed better as compared to others

[06:41] with lower AVD.

[06:43] So, keep this in mind if you're thinking

[06:45] of making 5-second shorts to get 100%

[06:48] retention and go viral. I'm sure after

[06:50] hearing all this, you're confused as to

[06:52] what's the best length for shorts.

[06:54] Should we make 10- to 15-second shorts

[06:56] to get good retention? Or according to

[06:58] Paddy's study, should we make long

[07:00] shorts? I'll give you the answer that

[07:02] YouTube employees gave, and that is make

[07:05] a short that aligns with your story.

[07:08] Some niches will have quick, instantly

[07:10] rewarding shorts, while in other niches,

[07:12] you can use storytelling to build a

[07:14] narrative arc with a beginning, middle,

[07:16] and end, and you can make longer shorts.

[07:19] So, yeah, the best length for YouTube

[07:21] shorts is in which you can perfectly

[07:23] deliver your content.

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