What Is a Good Click-Through Rate on YouTube? How to Calculate CTR

There is no universal good click-through rate on YouTube. YouTube publishes no benchmark, and a healthy number depends on your niche, audience, thumbnail, title, and how broad your targeting is. The useful signal is your own channel's trend: a rate that beats your average and holds after a thumbnail change.

In short

• Click-through rate is clicks divided by impressions, written as a percentage.
• YouTube does not publish an official CTR benchmark, so any cross-industry figure is a guess.
• A good CTR is one that beats your own channel average and survives a thumbnail or title change.
• The same math applies to Google Ads, LinkedIn, and Facebook, but each placement earns a different typical rate.
• Compare placements and formats separately. Mixing them hides the signal you are looking for.

What does click-through rate mean?

Click-through rate is the number of clicks an ad or video gets divided by the number of times it was shown, expressed as a percentage. If a video gets 50 clicks from 1,000 impressions, the CTR is 5%. Platforms report it per ad, per video, or per campaign, so always check which base the number uses before comparing.

The formula is simple:

CTR = (clicks ÷ impressions) × 100

Two things trip people up. First, "impressions" means different things on different platforms. A YouTube impression is counted when a thumbnail is shown on the home feed, in search, or beside another video. A display impression may be counted the moment an ad loads, whether or not anyone looked at it. The same 5% is not the same 5%.

Second, a high CTR is not automatically good. A clickbait thumbnail can push CTR up and watch time down, which hurts the video in the long run. Read CTR next to average view duration and retention. If you want the full breakdown of the metric and its traps, what CTR means and when it misleads covers the edge cases.

What is a good click-through rate on YouTube?

There is no single good CTR on YouTube, because YouTube does not publish a benchmark. A healthy number depends on your niche, audience, thumbnail, title, and how broad your targeting is. Compare your own videos against each other and watch the trend after each change.

This is the honest answer, and it is more useful than a made-up percentage. Here is why a universal number does not exist:

• Niche changes everything. A finance channel and a gaming channel attract different viewers with different browsing habits.
• Traffic source changes the base. Impressions from search, suggested videos, the home feed, and external links behave differently. YouTube reports CTR by source in the analytics for a reason.
• Audience size changes the base. A video shown to your subscribers performs differently from one pushed to a cold audience.
• Thumbnail and title do the heavy lifting. These are the two levers you actually control, and both move CTR directly.

The practical benchmark is your own channel. Pull the CTR for your last twenty or thirty videos, sort them, and find the middle. That middle is your baseline. A new video that lands above it is doing well for your channel. One that lands below it needs a new thumbnail or a sharper title.

A rate that beats your channel's own average and holds after you swap a thumbnail is a better signal than any cross-industry figure. If the rate jumps for a day and then falls back, the thumbnail did not work. If it holds for a week, it did.

What is a good impression click-through rate?

Impression CTR is clicks divided by impressions, and what counts as good depends on where the impression happened: a search result, a feed, a video thumbnail, or a display placement. A feed or thumbnail placement usually earns a higher rate than a forced display impression, so comparing the two tells you nothing useful. Judge each placement against its own history.

This is the same "what is a good impression click through rate" question, and the answer is placement-first. A viewer who is scrolling a feed and chooses to click is in a different mindset from a viewer who sees an ad load on a page they did not choose to visit. Feed and thumbnail placements get deliberate clicks. Display placements get accidental ones or none.

So when you look at a CTR report, split it before you judge it:

The pattern is the same in every row: the comparison group is your own history, not a number from a blog post. When you track this at scale, a reporting layer that keeps CTR next to CPA, CPC, and CPM for each placement makes the comparison fast, which is what the analytics and reports view is built for.

How do you calculate CTR, step by step?

You calculate CTR by dividing clicks by impressions and multiplying by 100. The steps below work for a YouTube video, a search ad, or a social campaign. The only thing that changes is where you pull the two numbers.

1. Pick one unit. Decide whether you are measuring a single video, a single ad, an ad group, or a whole campaign. Do not mix units in one comparison.
2. Find the clicks. In YouTube Studio this is the click count for the video. In an ads platform it is the clicks column for the same unit you chose.
3. Find the impressions. Use the impressions for that same unit. On YouTube, check which traffic source the impressions came from.
4. Divide clicks by impressions. Keep the raw decimal before you round.
5. Multiply by 100. This gives you the percentage. 50 clicks from 1,000 impressions is 0.05, or 5%.
6. Write down the date and what you changed. A CTR without context is just a number. Note the thumbnail, title, or targeting change that came before it.

Run this for a set of videos or campaigns at the same time. One CTR tells you almost nothing. Twenty CTRs from the same channel, sorted from high to low, tell you what your audience actually responds to.

If you sell something after the click, CTR is only the first step. The metric that decides whether the click was worth paying for is further down the funnel, and what CPA means and how it differs from CPL explains how to read it.

What is a good CTR for Google Ads?

Google does not publish a benchmark CTR, and the number varies by campaign type, keyword intent, ad format, and position. Search ads on branded terms usually pull far more clicks than broad display placements, so a single target makes no sense. Track CTR by campaign and by ad group, and treat a drop after a text or landing page change as the signal worth acting on.

The same logic applies when someone asks what is a good click through rate for Google Ads or what is a good click through rate for Google Ads on a specific campaign type. The answer is always "compared to what." A branded search campaign and a broad display campaign are not the same animal, and putting them in one average destroys the information.

What you can control and test:

• Keyword intent. Someone searching your brand name is closer to a click than someone browsing a broad topic.
• Ad copy. The headline and the first description line do most of the work.
• Extensions and format. Sitelinks, prices, and other assets change how much of the ad a viewer reads.
• Position. Where the ad appears changes how many people see it before they click something else.
• Landing page match. If the page does not match the promise in the ad, the click still counts, but the next step does not.

Track CTR by campaign and by ad group, and keep the comparison inside one campaign type. If you want to know whether a click is cheap or expensive relative to the result, what cost per click is and what it depends on walks through the math, and what CPM means and when it beats CPC explains the buying model that changes your CTR math entirely.

What is a good click-through rate on LinkedIn?

LinkedIn does not publish a benchmark CTR either, and results depend on your audience size, targeting, format, and creative. LinkedIn does require a minimum daily budget of 10 USD and a minimum audience of 300 people, with 50,000 recommended, so narrow targeting can limit delivery and skew the rate. Compare campaigns that use similar formats and audiences rather than mixing Sponsored Content with Message Ads.

That minimum audience number matters more than it looks. If you build an audience of a few hundred people, the same people see your ad repeatedly. Frequency climbs, and the CTR you measure is really a measure of how your small group reacts, not of the market. When someone asks what is a good click through rate on LinkedIn or what is a good click through rate LinkedIn advertisers should expect, the answer is the same as everywhere else: your own campaigns, split by format and audience size.

Two habits keep LinkedIn CTR readable:

• Keep formats separate. A Sponsored Content post and a Message Ad land in different parts of the experience and get different reactions.
• Keep audience size in the note. A campaign against 300 people and a campaign against 50,000 do not belong in the same average.

The same discipline applies to the Facebook side of the question, "what is the click through rate on Facebook ads." Meta does not publish a benchmark either, and the rate moves with placement, objective, and creative. Check the same things: which placement, which audience, which format, and what changed since the last measurement.

Why a single CTR target hurts more than it helps

Chasing one number pushes you toward the wrong decisions. A CTR target set from someone else's channel makes you optimize for clicks that your audience may not want to give. The result is a thumbnail that wins the click and loses the viewer.

Three habits replace the target:

• Compare like with like. Same placement, same format, same audience type.
• Change one thing at a time. Swap the thumbnail, keep the title. Then swap the title on the next video. If you change both, you learn nothing.
• Read CTR with retention. A rising CTR and falling retention means the promise and the content do not match.

This is also where CTR sits in the wider picture. A click is a step, not a result. If you pay for traffic, the number that decides whether the campaign worked is what happens after the click, and what ROAS is and how to calculate it connects the spend to the revenue it produced.

What to do next

Pick five videos or campaigns, calculate CTR for each one with the clicks-over-impressions formula, and sort them. Note the thumbnail, title, or targeting difference between the top one and the bottom one. That difference is your next test.

If you want the numbers for every channel in one place, with CTR, CPC, CPA, and CPM side by side, look at campaign reporting across channels and see what it tracks before you connect anything.