Knowledge Bank
3 min read
The comparison snapshot, and the row that lies
Total views mostly measures which video has been out longer. Read views per day, then the per-1,000 rows.
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Two videos, the same channel, wildly different results. Everyone has the pair. Working out what actually separated them usually means flicking between two Studio tabs holding six numbers in your head, which is why most people look once, decide it was the thumbnail, and move on.
Total views is the row that lies
A video from last year beats one from last week on raw views while earning a fraction as many per day. Compare those two on the total and you will conclude the old one worked, then go and make more like it.
What each row is actually telling you
| Row | What it answers |
|---|---|
| Views per day | Which video is genuinely pulling harder right now, age removed |
| Likes per 1,000 views | Whether the people who watched liked what they got |
| Comments per 1,000 views | Whether it provoked a response rather than passive watching |
| Length and age | The context that explains most surprises in the rows above |
The per-1,000 rows take audience size out of the picture, which is what makes them comparable across two videos that reached very different numbers of people.
The diagnosis most people get backwards
Here is the pattern worth learning. When the smaller video wins the per-1,000 rows, the content did its job and the packaging did not.
That is a completely different problem from the one most creators assume they have. The instinct after a quiet video is to decide the topic was wrong and abandon it. The numbers often say the topic was right and nobody clicked, which means the fix is a title and a thumbnail rather than a whole change of direction.
The reverse pattern is worth as much. A video that pulled plenty of views and lost on likes and comments per 1,000 got the click and then disappointed people, and making more of those is how a channel trains an audience to distrust it.
It works on anybody's channel
The numbers come from the public YouTube Data API, read live when you press compare. Views, likes, comments, length and publish date are published for every video, so the tool needs no access to your channel at all.
That means the video that beat yours is exactly as readable as your own. Comparing your video against the one that outperformed it in the same week is a far sharper exercise than comparing two of your own.
The snapshot is the point
You get a PNG and a PDF card with the winner of each row marked, and the PNG arrives in your inbox attached, so it is already somewhere you can forward to an editor or a sponsor without saving a file first.
That matters more than it sounds for the debrief. A comparison you looked at once and closed is a comparison you will redo in a month. A card in an email is one you can put next to the next one.
When to run it
At the 48-hour debrief, against the number you picked back in Plan. Comparing the new video with your own median, or with the last one that worked, is what turns a vague feeling about performance into one thing to repeat and one to drop.
Keep reading
The debrief itself is in the 48-hour debrief guide, and the target you are judging against comes from deciding what a win looks like. If the packaging turns out to be the problem, YouTube CTR dropping is the next read.