Free YouTube Video Statistics Analyzer
Analyze YouTube video statistics. Calculate engagement rate, like ratio, and estimated earnings from any video. Free, fast, and works entirely in your browser with no sign-up required.
Updated
YouTube Video Statistics Analyzer
Frequently Asked Questions
How do I find my video statistics?
Get stats from YouTube Studio. Enter them here to calculate engagement rate and estimated earnings.
What is a good engagement rate on YouTube?
A 2-5% engagement rate (likes + comments / views) is considered good. Above 5% is excellent.
Is it free?
Yes, completely free.
Is my data safe with this tool?
Absolutely. The YouTube Video Statistics Analyzer processes everything client-side in your browser. No data is uploaded to or stored on any server. Your content remains private on your device at all times.
Does the YouTube Video Statistics Analyzer work on mobile devices?
Yes, the YouTube Video Statistics Analyzer is fully responsive and works on smartphones and tablets. You can use it on any device with a modern web browser -- no app download required.
Do I need to create an account to use this tool?
No account or registration is needed. Simply open the YouTube Video Statistics Analyzer in your browser and start using it immediately. There are no sign-up walls or usage restrictions.
Which browsers are supported?
The YouTube Video Statistics Analyzer works in all modern browsers including Chrome, Firefox, Safari, Edge, and Opera. For the best experience, use the latest version of your preferred browser.
How is YouTube engagement rate calculated from views, likes, and comments?
Engagement rate measures how strongly an audience reacts relative to how many people watched. This analyzer uses the formula (likes + comments) ÷ views × 100, combining both reaction types into a single percentage. So a video with 1,000,000 views, 50,000 likes, and 2,000 comments scores (52,000 ÷ 1,000,000) × 100 = 5.2%. The tool then labels the result for context: 1% and up is Average, 4% and up is Good, and 8% and up is Excellent. Because comments take far more effort than a like, they carry real weight despite being a smaller number. Note that this counts reactions against total views, not against subscribers, so it reflects the actual audience that watched rather than your channel size. Paste a link above, enter the public counts, and the engagement rate appears instantly.
Why is my YouTube comment-to-view ratio so much lower than my like ratio?
That gap is completely normal and expected. Clicking a like takes a single tap, while leaving a comment requires forming a thought and typing it out, so far fewer viewers do it. As a result, a healthy comment-to-view ratio is naturally tiny: this tool treats roughly 0.1% as healthy and 0.5% or higher as a sign of an unusually active, invested audience. By contrast, a good like-to-view ratio sits around 4%, with 8% or higher considered great. The two metrics measure different things — likes show broad approval, comments show a community willing to engage in conversation. Format matters too: a how-to tutorial that fully answers a question may earn fewer comments than a debate-driven commentary video with the same views. Enter your counts above to see both ratios side by side against these benchmarks.
How does the YouTube earnings estimator calculate revenue from views?
The earnings figure is a rough ad-revenue range driven by the CPM you set, which defaults to $3. CPM (cost per mille) is what an advertiser pays per 1,000 ad impressions. The tool calculates the high end as (views ÷ 1,000) × CPM and the low end as half of that, giving a deliberately wide band. For 1,000,000 views at a $3 CPM, that works out to roughly $1,500 on the high side and $750 on the low side. The range is wide on purpose because real payouts depend on factors the tool cannot see: not every view triggers a monetized ad, and YouTube keeps a 45% share of ad revenue. CPM also swings hugely by niche, with finance and tech often well above $10 and gaming far lower. Adjust the CPM field above to match your channel's reported number for a closer estimate.
Can this tool pull YouTube view and like counts automatically from a link?
Not the counts themselves. When you paste a video URL or ID, the analyzer calls YouTube's public oEmbed endpoint, which returns only the title, channel name, and thumbnail so you can confirm you have the right clip. View, like, and comment totals are not part of that public data, and the tool has no access to private analytics, so it cannot read those numbers on its own. You supply them yourself by copying the public counts shown on the video's watch page, or the figures from YouTube Studio if it is your own upload. This keeps the tool fast and free of any API key or login. Once you type the three counts in, every metric — engagement rate, like ratio, comment ratio, and the earnings range — is computed entirely in your browser. Paste a link above and enter the counts to begin.
How accurate is the estimated YouTube earnings range and should I trust it?
Treat it as a ballpark for planning, not a guaranteed payout. The estimate is mathematically simple — it multiplies your view count by a CPM you choose — so it is only as realistic as that CPM. Real revenue depends on variables the tool cannot measure: the percentage of views that actually saw a monetized ad, seasonal advertiser demand, audience country, video length, and the 45% cut YouTube takes from ad revenue. The default $3 CPM is a conservative middle ground, but rates vary wildly by niche, so a finance channel and a gaming channel with identical views can earn very different amounts. For the closest figure, enter the actual CPM your channel reports in YouTube Studio rather than the default. Use the wide low-to-high range as a sanity check on expectations. Set your real CPM above to tighten the estimate.
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About the YouTube Video Statistics Analyzer
The YouTube Video Statistics Analyzer turns the raw numbers behind any video — views, likes, and comments — into the ratios that actually describe its performance. Paste a video link, then enter the public counts, and the tool calculates the engagement rate, like-to-view ratio, comment rate, and an estimated earnings range. It is built for creators sizing up their own uploads, marketers vetting an influencer before a sponsorship, and anyone curious how a viral clip stacks up against typical benchmarks.
When you paste a URL or ID, the tool first calls YouTube's public oEmbed endpoint to pull the video's title, channel name, and thumbnail so you can confirm you're looking at the right clip. The counts you type in are then crunched entirely in your browser. The analyzer does not have access to private analytics, so it can't read view or like totals on its own — you supply those from the video page or YouTube Studio.
What the analyzer measures
- Engagement rate —
(likes + comments) ÷ views × 100. This is the headline metric, combining both reaction types into a single percentage. The tool labels the result: 1% and up is Average, 4%+ is Good, and 8%+ is Excellent. - Like-to-view ratio — likes divided by views, shown as a percent. A clean signal of how positively an audience reacted, separate from how chatty they were in the comments.
- Comment-to-view ratio — comments divided by views. Comments take far more effort than a like, so this ratio is naturally small but a strong sign of an engaged community.
- Estimated earnings — a rough ad-revenue range based on a CPM you set (default $3). It calculates
(views ÷ 1,000) × CPMfor the high end and half that for the low end.
How to read the numbers
The benchmarks built into the tool give you context the moment you enter stats:
- Like-to-view ratio — around 4% is good, 8% or higher is great.
- Engagement rate — 2% is a solid baseline, 5% and above is strong.
- Comment-to-view ratio — 0.1% is healthy, 0.5%+ signals an unusually active audience.
These are reference points, not hard rules. A how-to tutorial that answers a question completely may earn fewer comments than a debate-driven commentary video with identical views — different formats invite different reactions. Use the ratios to compare videos of a similar type, or to track one channel over time, rather than treating a single number as a verdict.
About the earnings estimate
The earnings figure is an estimate, and it is deliberately a wide range because real payouts depend on factors the tool cannot see. CPM (cost per mille, the amount an advertiser pays per 1,000 ad impressions) swings dramatically by niche, audience country, season, and video length — finance and tech content can command well above $10, while gaming or entertainment often sits far lower. The default $3 CPM is a conservative middle ground; adjust it to match your channel's reported CPM for a closer guess. Not every view triggers a monetized ad, and YouTube keeps a 45% share of ad revenue, so treat the output as a ballpark for planning, not a guaranteed payout.
Privacy and what leaves your browser
The math — engagement, ratios, and earnings — runs locally on your device, and the stats you type are never uploaded or stored. The one network request is the oEmbed lookup that fetches the public title and thumbnail directly from YouTube; that simply confirms the video, the same data anyone sees on the watch page. There is no sign-up, no API key to manage, and no limit on how many videos you check.
Paste a YouTube link above, add the public view, like, and comment counts, and the analyzer will turn them into engagement metrics and an earnings range in an instant.