You googled "what is a good CTR on YouTube" because you saw your number — maybe 3.4%, maybe 5.8% — and you wanted to know whether to feel good or bad about it. You found articles quoting suspiciously precise averages: "the average CTR is 4–5%," "aim for 6%+," "top creators get 10%." None of them cite where those numbers came from, and none of them know anything about your channel.

Here's the honest answer up front: there is no number that means "good" across channels, and anyone selling you one is guessing. But there is a rigorous way to know whether YOUR CTR is good — and it takes about twenty minutes to set up.

Let me show you why the single-number answer can't work, using my own channel. Travel and Food Guy has 17 long-form videos with real thumbnail-impression data. Across those 17, CTR runs from 1.33% to 15.46% — the best video's click rate is 11.6 times the worst one's. Median: 8.38%. That's one channel, one niche, one person making all the thumbnails, with the same face and the same fonts. If a universal "good CTR" existed, it would have to be simultaneously correct for both ends of that spread. Whatever number you read in an article about averages, my channel contains videos on both sides of it.

The only public guidance worth repeating

YouTube itself has offered one piece of often-cited guidance: half of all channels see click-through rates somewhere between 2% and 10%. That's it. That's the official ballpark — a range where the top end is five times the bottom end, explicitly covering only half of channels. It exists mostly to stop people from panicking at a 4% and to signal that a 1.5% or a 14% is unusual enough to look into.

Why won't YouTube (or anyone honest) get more specific? Because CTR is structurally incomparable across channels:

  • Niche changes the ceiling. A finance explainer channel and a daily vlog live in different click economies. Viewers browse them with different intent.
  • Channel size changes the mix. A 2K-subscriber channel gets a big share of impressions from its warm subscriber base — high CTR. A 500K channel gets flooded with cold browse impressions — lower CTR, vastly more views. Bigger often means lower CTR, and that's success, not failure.
  • Traffic source dominates everything. Search CTR, browse CTR, and suggested CTR are different animals (we broke down why in Why Is My YouTube CTR So Low?). Two channels with identical packaging quality but different distribution mixes will report very different blended CTRs.
  • Video age skews the read. CTR in a video's first 48 hours (warm audience) versus its sixth month (cold long tail) can differ by multiples on the same video with the same thumbnail.

A cross-channel benchmark averages over all four of these. It's not wrong, exactly — it's just about someone else.

Build your own benchmark instead (the 20-minute version)

Your last 15–20 long-form videos already contain a better benchmark than any article. Here's how to extract it:

1. Fix the age

Pick one comparison age — 7 days after publish is a good default for weekly publishers. In YouTube Studio, open each video → Analytics → Reach → set the custom date range to the video's first 7 days. Same age for every video, no exceptions. This single step removes the biggest distortion in casual comparisons.

2. Record four numbers per video

For each of the last 15–20 videos: 7-day impressions, 7-day CTR, 7-day average view duration, and the top traffic source for that window. A plain spreadsheet row per video.

3. Take the median, not the mean

One video that got picked up by suggested will drag an average around. The median 7-day CTR is your baseline — the number a normal video on your channel does. Also note your spread: the gap between your worst and best tells you how much packaging (and topic choice) swings results for you.

4. Segment before you judge

If you publish multiple formats or very different topics, split the sheet. Shorts and long-form never share a baseline. On many channels, even topic families deserve separate medians — and this is where a personal benchmark stops being a nice idea and starts being the only thing that works.

Here is the actual split across my 17 long-form videos:

Video family Videos Median CTR
Hotel tours 2 12.95%
Airport lounge tours 10 8.75%
Opinion / essay 1 4.88%
Cruise ship tours 3 3.68%
Destination guides 1 2.77%

Look at what that does to the question "is 6% good?" On my channel, 6% is a bad lounge tour and an excellent cruise tour. Same creator, same week, same editing style — and the honest verdict flips depending on which shelf the video sits on. A blended channel median of 8.38% would tell me my cruise videos are failing when they're performing normally for what they are, and that my lounge videos are fine when they're actually below par.

Two things to hold onto before you copy the table. First, read the n column before you read the CTR column: two hotel videos is an anecdote, not a benchmark, and I treat that 12.95% as a hint rather than a target. Ten lounge tours is the only row I'd genuinely lean on. Second, these are my families, not universal categories — yours might be "recipe" versus "kitchen tour," or "tutorial" versus "review." The method transfers; the numbers don't.

5. Now you can actually answer "is this good?"

A new video's 7-day CTR gets compared to your median, at the same age, in the same format, with a similar traffic mix. Above your median with normal impressions? Good packaging. Below your median while impressions doubled? Probably audience expansion, not a packaging failure. Below your median with normal impressions? That's a real signal — and a candidate for a re-package and a proper test (here's how to run one).

The trap: optimizing CTR as if it were the goal

One warning before you laminate your new baseline. CTR is a pair metric — it only means something next to average view duration. A shocking thumbnail can buy you a CTR your video can't cash: viewers click, feel misled, and leave in 20 seconds. YouTube's own Test & Compare picks thumbnail winners by watch time share, not clicks, which tells you how YouTube weighs it.

So your personal benchmark sheet needs both columns. The video you want to replicate is the one above your CTR median and at-or-above your AVD median. A high-CTR/low-AVD video isn't a packaging win — it's a broken promise with good marketing.

What ChannelzIQ does with this

Everything above is a spreadsheet you have to keep feeding — every video, every week, re-pulling the same-age windows by hand. ChannelzIQ maintains that baseline for you: it pulls each video's metrics, aligns them at the same age automatically, computes your medians per format, and judges every new video against your numbers instead of an internet average. When you ask Cue "is 4.1% good for this one?", the answer comes back in plain English with the context attached — where it sits against your median, what impressions did, and whether view duration held. I built it because I was that person with the spreadsheet, and the spreadsheet kept going stale.

ChannelzIQ is pre-launch right now, and the waitlist is open.

Frequently asked questions

Is 4% a good CTR on YouTube?

It's inside the range YouTube itself points at — half of channels sit somewhere between 2% and 10% — and beyond that the question can't be answered without your channel. On mine, 4% would be a poor lounge tour (median 8.75%) and a good cruise tour (median 3.68%). Compare it to your own median at the same video age and format, or you're comparing yourself to a stranger.

Does CTR go down as a channel grows?

Often, and it's usually a sign of success rather than decline. A small channel gets a large share of impressions from warm viewers who already know it; a bigger one gets flooded with cold Browse impressions from people who've never seen it. My widest-reaching video has 24,727 impressions and a 4.90% CTR — below my 8.38% median — while a small hotel tour with 1,022 impressions clicks at 15.46%. Reach and CTR moved in opposite directions, and I'd take the reach.

What's a good CTR for Shorts?

There isn't one, because the number itself isn't real. The Shorts feed isn't a thumbnail-impression surface, so the denominator is close to meaningless — one of my Shorts shows 1,737 views against 11 recorded impressions. Never put a Shorts CTR in your benchmark sheet, and never blend it with long-form.

How many videos do I need before my median means anything?

Ten to fifteen in the same format is enough to be useful. I have 17 long-form videos with impression coverage, which is plenty for me to say "on my channel, lounge tours click around 8.75%" and nowhere near enough for me to claim that about lounge tours in general. Keep the "on my channel" attached whenever you quote your own number — including to yourself.

Should I be optimizing for CTR or for watch time?

For the pair, always. YouTube's own Test & Compare picks thumbnail winners by watch time share rather than clicks, which tells you how it weighs them. The economics on my channel say the same thing from another angle: a suggested-video view is worth 449 seconds of watch time and a Shorts view is worth 12. A click you can't convert into minutes isn't worth much.

Stop guessing

"Is my CTR good?" has a real answer — it's just written in your own history, not in someone else's blog post. Twenty minutes with your last 15 videos gets you a baseline that makes every future upload readable. And if you'd rather that baseline maintained itself, join the waitlist — the form asks a single question, "what are you trying to improve right now?", and the answers shape what gets built first.

Join the ChannelzIQ waitlist →