CTR and AVD Benchmarks: What Numbers Are Actually Good?
By Rudra Pratap Singh
| Founder & YouTube Automation Expert, New Money Matrix
Published: 30 September 2026 | Last Updated: 30 September 2026
YouTube publishes exactly one benchmark for either metric, and it is broader than most people expect: half of all channels and videos have an impressions click-through rate somewhere between 2 and 10 per cent.
That is the whole of the official guidance on CTR. For average view duration there is no published benchmark at all.
Which raises an awkward question about every niche-by-niche table you have seen. Impressions data never leaves your own Studio, so nobody outside a channel can know its CTR. Those tables are estimates somebody constructed, not measurements.
What the two metrics actually measure
Impressions click-through rate is how often viewers watched a video after seeing a registered impression on YouTube. An impression is counted when your thumbnail is shown for at least one second with at least half of it visible on screen.
One technical detail worth knowing: CTR is calculated from views that came from counted impressions. If you divide total views by impressions yourself you will get a different number, because some views do not originate from thumbnails at all.
Average view duration is how many minutes viewers actually watched, calculated from engaged views rather than the public view counter.
AVD is measured in minutes, which makes it length-dependent and therefore not comparable across videos of different lengths. Average percentage viewed is the metric that compares. A 45 per cent average percentage viewed might be excellent on a ten-minute tutorial and poor on a ninety-second clip.
Reading the official range properly
YouTube's figure is a range covering the middle of the distribution. Half of all channels and videos sit between 2 and 10 per cent.
Follow that through. A quarter of channels sit below 2 per cent and a quarter sit above 10 per cent, and both groups contain perfectly healthy channels. The range is not a target. It describes where the middle half happens to land.
YouTube also states plainly that the figure varies with the type of content, the audience, and where on YouTube the impression was shown. A video surfacing mainly in search behaves differently from one surfacing on the home feed, because the viewer's intent is different.
The relationship that confuses everyone
Here is the most useful thing in YouTube's own FAQ, and it reverses a common assumption.
It is common for videos with fewer impressions and views to have higher click-through rates. As a video succeeds, YouTube shows it to progressively colder audiences, and those audiences click less. So the CTR falls.
Which means a falling CTR on a video whose impressions are climbing is usually evidence that it is working, not failing. A video at 3 per cent across 500,000 impressions produced 15,000 views. One at 8 per cent across 10,000 impressions produced 800. The second number looks better and the first video is doing far more.
This is also why channel size shifts the picture. Reported creator-analytics observations put channels under a thousand subscribers often at 6 to 10 per cent, because most impressions go to people who already subscribed, and channels above a hundred thousand often at 3 to 5 per cent, because impressions are reaching strangers.
When a high CTR is a problem
YouTube's guidance warns about this directly: clickbait titles and thumbnails can raise click-through rate while average view duration falls, which makes further recommendations less likely.
So the dangerous combination is a high CTR paired with weak retention. It tells the system that your packaging over-promised, people arrived expecting something else and left. YouTube states that it recommends a video when the video is relevant and average view duration indicates viewers find it interesting. Clicks alone do not earn distribution.
CTR earns the click. Retention decides whether the click deserved to happen.
Practical ranges
Labelled with what each rests on, because the difference matters.
| Metric and situation | Practical range | What it rests on |
|---|---|---|
| Impressions CTR, any channel | 2% to 10% | YouTube Help, the only published benchmark |
| Impressions CTR, under 1,000 subscribers | often 6% to 10% | Reported creator-analytics observation |
| Impressions CTR, over 100,000 subscribers | often 3% to 5% | Reported creator-analytics observation |
| CTR below 2% at high impressions | Usually a packaging problem | Inference from the above |
| Average view duration | No published benchmark exists | Compare against your own last ten uploads of similar length |
| Average percentage viewed | Falls as video length rises | Use this, not AVD, to compare different lengths |
Treat every row as a practical range rather than a guarantee. Your own trailing average on comparable videos is a better reference point than any of them.
When not to read your CTR
YouTube advises against checking click-through rate immediately after uploading, and against optimising for small changes. Act on a difference only when it is large enough to be meaningful.
New channels, videos less than a week old and videos under a hundred views scatter far outside the normal range simply because the sample is tiny. A 20 per cent CTR on forty impressions tells you nothing at all.
A practical checklist
- Check impressions first. If they are low, neither CTR nor AVD is your problem; the topic is.
- Compare each video against your own last ten of similar length, not against an external table.
- Wait for a meaningful impression count before judging CTR.
- Look at CTR by traffic source separately, since search and browse behave differently.
- If CTR is low with healthy impressions, rework the thumbnail and title, changing one idea at a time.
- If CTR is fine but retention is weak, the problem is the opening or the pacing, not the packaging.
- If both are fine and views are still flat, look at impressions again.
- Watch the first thirty seconds of your worst retention graph. The drop-off point is usually visible.
What to actually improve
For CTR, the fastest gains are usually in the title promising something specific rather than something general, and the thumbnail adding information rather than repeating the title. YouTube’s own A/B testing tool decides on watch time share rather than clicks, which is a useful corrective.
For retention, open on the thing the title promised instead of introducing yourself, keep signalling that the main payoff is still coming, and cut anything you would not say aloud.
The honest summary
There is one published benchmark and it is wide. Everything else you will read with decimal places attached was estimated by someone without access to the data.
The useful comparison is almost always internal. Your last ten videos of similar length, in the same niche, from the same channel, are the only genuinely like-for-like reference you have. Beat those and the external numbers take care of themselves.
Common questions
What is a good CTR on YouTube?
YouTube states that half of all channels and videos have an impressions click-through rate between 2 and 10 per cent. That is the only published benchmark, and it describes the middle of the distribution rather than a target, so a quarter of channels sit below it and a quarter above it while remaining perfectly healthy.
Is a dropping CTR a bad sign?
Often the opposite. YouTube notes that videos with fewer impressions commonly show higher click-through rates, because a successful video gets shown to progressively colder audiences who click less. If impressions are rising while CTR falls, the video is usually reaching more people, not performing worse.
What is a good average view duration?
YouTube publishes no benchmark for it. Average view duration is measured in minutes, so it is not comparable between videos of different lengths. Use average percentage viewed for comparisons, and judge both against your own recent uploads of similar length rather than an external figure.
Can a CTR be too high?
Yes, if retention is weak. YouTube's guidance warns that clickbait packaging can raise click-through rate while average view duration falls, which makes further recommendations less likely. A high CTR with poor retention signals that the thumbnail and title promised something the video did not deliver.
How soon can I judge my CTR?
Not immediately. YouTube advises waiting for a substantial number of impressions before drawing conclusions, and warns against reacting to small changes. New channels, very new videos and videos under a hundred views scatter far outside the normal range because the sample is too small to mean anything.
About the Author
Rudra Pratap Singh is the founder of New Money Matrix and a YouTube automation expert. He has trained 10,000+ creators who've generated ₹4 Crore+ in earnings.
With 8+ years Experience, Rudy specializes in helping creators build automated YouTube channels without showing their face.
Connect with Rudy: LinkedIn | Twitter | Instagram | Quora | Medium
Student results shown are individual experiences, not typical results, and are not a guarantee of earnings.
