YouTube Channel Health Checker
Paste any YouTube channel and get a score on four questions. Is it growing? Are recent uploads holding up? How often does it break out, and does it publish consistently? Every score shows the numbers behind it.
Paste any YouTube channel. The tool reads its recent uploads and its latest growth numbers. It scores whether the channel is growing for its size. It checks whether recent videos are holding up against its own earlier work. It also scores how often it breaks out and whether it publishes consistently. Each score shows the numbers behind it.
Short answer
A healthy YouTube channel grows at a good rate for its size. Its recent uploads match or beat its own recent baseline, which means the views of the uploads just before them. It lands a breakout, a video with at least twice its usual views, often enough to reach new viewers. It also publishes on a steady rhythm, so its growth can build on itself. This checker scores all four from public data. It shows the figures behind each score. It can't see watch time, click-through rate, retention or revenue, because none of that is public. You get the outside view of a channel. Your own analytics cover the rest.
What a YouTube channel health score measures
Most YouTube channel analyzers stop at raw stats like subscribers, total views and video count. Those tell you how big a channel is. They don't tell you whether it is working, and a big channel can still stall. We show those stats for context.
The score itself comes from four separate readings, and we call each one a pillar. Each pillar can go wrong in its own way and needs its own fix. One number is easy to misread, so we show all four right next to it.
| Pillar | Weight | What it answers |
|---|---|---|
| Momentum | 25% | Is it growing at a good rate for a channel this size? |
| Recent performance | 30% | Are the last few uploads doing as well as the uploads just before them? |
| Breakout rate | 15% | How often does an upload get twice this channel's normal views? |
| Upload cadence | 30% | How often does it publish, and has it gone quiet by its own standards? |
The total is the least useful number on the page
Why channel health benchmarks change with subscriber count
Percentage growth slows as a channel gets bigger. That's plain math. Say a channel adds five million subscribers a month. With five hundred million subscribers, it grows 1%. With one million, it grows 500%. Hold both to the same percentage and every large channel scores as dying.
| Channel size | Monthly growth we count as strong |
|---|---|
| 10,000 subscribers | ~4% |
| 100,000 subscribers | ~2.7% |
| 1 million subscribers | ~2% |
| 10 million subscribers | ~1.6% |
| 500 million subscribers | ~1.2% |
Performance works the same way. The tool compares recent uploads with the channel's own recent baseline instead of its lifetime average. So the bar moves with the channel. On any older channel, a few old viral hits pull the lifetime average way up. Measure against that and a healthy channel looks like it has collapsed.
Why are my views dropping? Reading a low score
Every pillar shows the numbers behind it. So when a score surprises you, you can check it instead of arguing with it. These patterns come up most:
- Low performance, healthy cadence. The channel posts often enough, and the videos aren't landing. Look at packaging, meaning titles and thumbnails, and at topic choice. Effort isn't the problem.
- Low cadence, healthy performance. The videos do well when they come out. The channel just doesn't make enough of them. The fix is to publish more often.
- Zero breakouts, high everything else. Every video lands in a steady, high range. That pattern is real and it lasts. We give this pillar the lowest weight for exactly this case.
- A pillar at a neutral 50 means we didn't have enough data. New channels and channels with very few uploads land there. A 50 there isn't a verdict.
Start with the lowest pillar. Read its evidence line before you look at anything else. A score shows you where the problem is. Fixing it takes longer. To do the check by hand, with the questions to ask, read how to check a YouTube channel's health and how to audit a YouTube channel. Want to work through a channel step by step? The channel audit checklist is the long version. And the analytics tools roundup covers what to use for the parts this tool can't see.
How to check a YouTube channel's health
Follow these six steps. Step five turns a score into something you can act on, so don't skip it.
- 01
Paste the channel URL, handle or ID
Use a full channel URL, an @handle or a channel ID that starts with UC. You don't need to own the channel. You don't connect any account either. The tool reads only what YouTube already shows to everyone. - 02
Read the four pillars before the total
The total blends the four pillar scores, and a blend can hide problems. One channel scores 55 because it sits in the middle on every pillar. Another scores 55 because it uploads far less often now, yet its videos still do well. Those two channels need very different work. - 03
Check the evidence line under each score
Under every pillar, we print the figures behind its score. If a score looks wrong, read that line. It tells you whether the tool misread the channel or the score is right. - 04
Read momentum as a recent snapshot
We measure growth over a short window, often under a week. One strong upload can swing it. Momentum tells you whether the channel moved recently. It can't tell you whether the channel grew all year. - 05
Compare recent performance against cadence
If views fall while uploads stay steady, look at packaging or topic. If views fall and the gaps between uploads grow, the channel is usually just posting less. Read the two pillars together to tell these apart. The fixes have nothing in common. - 06
Check the limits before you act
Watch time, click-through rate, retention and revenue aren't public, so the tool can't show any of them. The score shows the channel the way outsiders see it. Your own analytics hold the rest.
Building this yourself?
What this YouTube channel health checker handles
Any public channel
Reads public stats for any channel, with no login and no ownership
URL, handle or ID
Paste whichever form you have
Size-adjusted growth
The growth target scales with subscriber count
Settled uploads only
We skip videos under 21 days old in the comparisons
Its own recent baseline
We compare each channel with its own recent work, not a lifetime average
Evidence under every score
Each pillar shows the figures behind its score
Limits in writing
We list what the score can't see
30-upload sample
Recent enough to show the channel as it is now
Where this checker stops
Frequently asked questions
What is a good YouTube channel health score?
A score above 75 means strong. From 55 to 75 means healthy, and 35 to 55 means mixed. Below 35, the channel needs work. The four pillar scores under the total matter more than the grade. Two channels can both score 55 for opposite reasons, and each one needs a different fix.
Do I need to own the channel or connect an account?
No. The tool reads only public data: subscriber counts, view counts, and recent uploads with their views. So it works on any channel, including your competitors. You don't log in or connect anything.
How does it score growth for a huge channel versus a small one?
We set the growth target by channel size. Percentage growth slows as a channel gets bigger. With one fixed target, every large channel would score as dying. So we hold a channel with 500 million subscribers to about 1.2% growth a month. We hold a channel with 10,000 subscribers to about 4%.
Why does the tool leave out videos from the last few weeks?
Those videos are still collecting views. We leave uploads younger than 21 days out of the performance comparisons. Next to videos that have had months to collect views, they would make every channel look like it's declining. We still count them for cadence, because cadence only needs the upload date.
What counts as a breakout?
A breakout is an upload that gets at least twice the channel's median views across the sample. The median is the middle view count in that sample. We compare against the channel's recent normal instead of its lifetime average. On an older channel, a few old viral hits pull the lifetime average way up.
Why does a channel with no breakouts still score well?
When every video lands in a steady, high range, that's a healthy pattern. Some channels grow through consistency and never spike. So we give the breakout pillar the least weight, and its score has a floor. It can lift a total score and can barely pull one down.
How accurate is the upload cadence?
It's accurate to within a few days. Our data source gives upload dates as rough text like "2 months ago", with no exact timestamp. So the tool can't measure the gap between each pair of uploads. It estimates the average gap across the whole sample instead.
How far back does it look?
It looks at the 30 most recent uploads. That's enough for the comparisons to still work if the tool can't read a couple of dates. It's also recent enough to show the channel as it is now.
Why does my momentum score use such a short window?
Momentum compares two recent measurements of the channel. They're usually less than a week apart. The gap varies, so the tool prints the actual number of days instead of calling it weekly. Treat momentum as a recent reading. Don't draw a long-term trend line from it.
Can this tell me why my views dropped?
It helps you narrow down the cause. If uploads stay steady and views fall, look at packaging or topic choice. If views fall and the gaps between uploads grow, the channel is usually just posting fewer videos. The real answer often sits in click-through rate or retention. The tool can't see either one.
Does it work for Shorts channels?
Yes, with one caution. Shorts view counts behave very differently from long-form views. A channel that posts both has a wide spread between its low and high view counts. That spread shows up as a high breakout rate. The mix doesn't affect cadence or momentum.
Is the data live?
Partly. The tool reads recent uploads live from YouTube. Channel stats come from a data store we refresh from time to time. Each result shows when we last refreshed that data. We keep each result for a day, so checking the same channel twice that day gives the same answer.
From one channel's health to a whole niche
OutlierKit runs this across a whole niche. You see which channels keep building on their growth. You see which videos beat their own channel's average, and why. You also find the gaps nobody covers yet.