TikTok
Was your reach cut, or was it the content?
Compare engagement rate — likes, comments, shares and saves divided by views — for your recent videos against your own baseline. If it held while views fell, distribution was cut. If it fell alongside views, the content underperformed and the system stopped promoting it. Most of the time it is the second, and that is the answer worth having, because it is the one you can act on.
Written for: “is it a shadowban or is my content bad”
Why views alone cannot answer this
A view count is the product of two things: how many people were shown the video, and how many of those kept watching. A drop in views is consistent with either falling, and the two call for opposite responses.
Engagement rate separates them, because it measures how the people who did see it responded. It is a rate rather than a total, so it is not dragged down by the fall in views itself.
How to run it
Recent window: videos posted in the last 14 days that are at least 72 hours old. A video still inside its testing window has not finished collecting views and will distort the comparison.
Baseline window: videos posted between roughly 15 and 90 days ago. You want at least ten of them.
For each video, add likes, comments, shares and saves, and divide by views. Take the middle value in each window.
Divide the recent middle value by the baseline one. That single ratio is the answer.
Reading the ratio
At or above 1.15 — the people who saw it engaged more than usual. Strong evidence that distribution was cut and the content is fine.
Between 0.95 and 1.15 — engagement held steady while views fell. Consistent with reduced distribution.
Between 0.70 and 0.95 — ambiguous. Something moved in both, and this range does not settle it.
Below 0.70 — engagement collapsed alongside views. The recommendation system stopped promoting content that people were not responding to. This is the system working, and it is the most common result.
One caveat that matters: only run this comparison when views have genuinely fallen. Engagement rate wobbles between videos for a dozen ordinary reasons, and reading it in isolation will find a crisis in a healthy account.
Why the second answer is the useful one
"Your reach was not cut, the content did not land" is unwelcome and it is the answer most creators need. It is the only one of the two you can do something about this week.
It also protects you from the standard failure mode: reading an ordinary underperforming run as enforcement, then reacting to an imaginary penalty by changing everything at once, which destroys whatever consistency the system had to work with.
Common questions
What if I do not have ten baseline videos?
Then the comparison is weak and you should say so to yourself. Under about six baseline videos the middle value moves too much between individual videos to mean anything.
Should I include saves?
Yes. Saves are among the stronger indications that a video was worth someone's attention, and leaving them out biases the comparison against content that gets saved rather than liked.
Does this work for a brand-new account?
No. There is no baseline to compare against, which is the whole reason a new account with no views is a different question.
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