To analyze a YouTube video, start with the public numbers anyone can see: views, likes, comments, publish date, title, description and tags. Then put those numbers in context. Divide views by the video's age, divide likes and comments by views, and compare the result with other recent videos from the same channel. A video is only "good" or "bad" relative to what that channel normally gets.
Some of the most useful data is private. Click-through rate, audience retention, watch time and traffic sources are only visible to the channel owner in YouTube Studio. For a competitor's video, you are working from public signals and your own judgment. For your own video, you get both.
Paste any public video link to see its counts, like and comment ratios, metadata checks, tags, publish timing, and how it compares with the channel's recent uploads.
Before you draw conclusions, know which numbers you actually have. This is the split for any video you don't own:
| Data | Who can see it |
|---|---|
| Views, likes, comment count | Anyone |
| Title, description, tags, thumbnail | Anyone (tags are hidden on the watch page but public through YouTube's API) |
| Publish date and time, duration, category, captions | Anyone |
| Channel subscribers and total views | Anyone (public subscriber counts are rounded) |
| Impressions and impressions click-through rate | Owner only, in YouTube Studio |
| Audience retention, average view duration, watch time | Owner only, in YouTube Studio |
| Traffic sources, search terms, audience demographics | Owner only, in YouTube Studio |
| Dislike count | Owner only (YouTube hid public dislikes in 2021) |
No outside tool can show you a competitor's CTR or retention. If a site claims to, it is estimating. Treat public data as evidence of what happened, not an explanation of why.
Raw view counts mislead. A video with 200,000 views posted four years ago and one with 50,000 views posted last week are not comparable. Start with views per day: total views divided by days since publishing. It is a rough average, since views don't arrive evenly over a video's life, but it puts videos of different ages on closer footing. The fairest comparison is against other videos from the same channel that are about the same age.
Divide likes by views and comments by views. Adding them together gives a simple engagement rate: (likes + comments) ÷ views. These ratios tell you how strongly viewers reacted, not how long they watched.
There is no universal "good" engagement rate. It changes with niche, format, video length and audience size. Tutorials, commentary and music all behave differently. The useful question is whether this video's ratio is higher or lower than the channel's other recent videos. Also check the video page: a comment ratio of zero often just means comments are turned off.
YouTube allows titles up to 100 characters, but long titles get cut off in search results, on suggested-video lists and on phones. Count the characters and check whether the main promise sits at the start. YouTool's Video Analyzer flags titles outside a 35–65 character band. That band is our own checklist, not a YouTube rule, so use it as a prompt to look, not a verdict.
Read the first two lines of the description, since that is what shows before "more." Look for a clear summary, timestamps, and how many links and hashtags are used. Tags are worth a look for keyword ideas, but don't overrate them. YouTube's own help page says tags play a minimal role in discovery and are mainly useful when a topic is commonly misspelled (YouTube Help: Add tags to your videos).
Note the day and time the video went live. On its own it proves little. A competitor's publish time tells you their habit, not what works for your audience. For your own schedule, use the "When your viewers are on YouTube" chart in your Studio Audience tab.
Look at the title, thumbnail and opening together. Does the video deliver what the packaging promised, and how fast? Numbers make more sense once you know what the video actually is.
Write down views, likes, comments, publish date and duration. Calculate days since publishing and views per day.
Collect view counts for the channel's recent uploads and take the median (the middle value). The median is less distorted by one viral hit than the average.
Divide the video's views by the median. A 40,000-view video on a channel with a 10,000-view median is at 4×. Do the same for the like and comment ratios.
Title length and wording, thumbnail, description, tags and hashtags. If the video is an outlier, look for what is different from the channel's typical titles and thumbnails.
For example: "Videos framed as mistakes do 3× this channel's median. Test a mistakes angle on my next tutorial." Then check the result in your own Studio data.
You can do all of this by hand with the video page and a spreadsheet. It takes a while, mostly in step 3, because you have to open and record each recent upload. YouTool's Video Analyzer does steps 2 through 5 in one run.
Paste a video URL, a Shorts URL or the 11-character video ID. The tool pulls the video's public data and up to 50 of the channel's most recent uploads, then splits the results into four tabs:
The scores are YouTool checklists, not YouTube ranking signals. YouTube ranks on private data like watch behavior and viewer satisfaction that no public tool can see. The channel comparison is the part to trust most.
A single video only means something next to its siblings. Two related tools help. The Outlier Finder searches a topic and surfaces videos with at least 2× their channel's view baseline, so you can see which ideas broke out across many channels. The Channel Analyzer gives you the channel-level picture: public totals, recent upload patterns and top videos. For a full process built around rival channels, see our guide to YouTube competitor analysis.
Compare Shorts with Shorts and long videos with long videos. They draw views and engagement differently, and a channel that posts both will have a muddied median. The same goes for live streams and premieres.
For your own uploads, public numbers are only half the story. Open the video in YouTube Studio and check impressions click-through rate, average view duration and the retention graph. Low CTR points to the title and thumbnail. A steep early drop in retention points to the opening. Our guide to YouTube analytics metrics explains what each one means.
You can also connect your channel to YouTool with read-only access. Connecting is free and shows a preview on your account page: views, net subscribers and watch hours for the period, one insight and your top recent video. The full channel report, which adds average view duration, average percentage viewed, search terms, traffic sources and more, is part of YouTool Pro. Comparing an analyzed video with your own channel inside the Video Analyzer is also a Pro feature.
The short version: Put every number in context. Views per day instead of total views, ratios instead of raw likes, and the channel's own median instead of an outside benchmark. Then check private metrics in YouTube Studio for your own videos.
See the channel behind the video: public totals, recent upload patterns, top videos, and rule-based scorecards.
No. Impressions, click-through rate, retention, watch time and traffic sources are only available to the channel owner in YouTube Studio. Any number you see elsewhere for someone else's video is an estimate.
There isn't one number that holds across niches. Engagement depends on format, length, topic and audience. Compare a video's likes and comments per view with the same channel's recent videos instead.
Each analysis uses one free weekly use. Guests get 1 use a week and signed-in accounts get 2, shared across YouTool's tools and refilled Monday at 00:00 UTC. Failed runs don't count. YouTool Pro is a one-time payment, not a subscription, and removes the weekly limit.
Shorts work: paste the Shorts URL or video ID. Private videos can't be analyzed. An unlisted video may work if YouTube's API returns its data from the direct link.
One viral video can drag a channel's average far above what a typical upload gets. The median is the middle value of the recent sample, so it better reflects a normal video on that channel.
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