YouTube views dropped? Find what changed before guessing
A view drop can come from topic fatigue, weaker packaging, upload timing, competitor movement, format shifts, or broader platform conditions. Kolliq is built to separate those signals.
Example diagnosis
Recent uploads below the prior baseline
This sample shows the kind of first-pass read creators should expect before connecting deeper analytics.
Recent 5-video median
28.4K
Compared against the latest public uploads.
Previous baseline
42.9K
A prior sample helps avoid overreacting to one upload.
Change
-33.8%
Materially below baseline in this example.
Publishing frequency
Stable
Cadence alone is unlikely to explain this sample drop.
Example diagnosis only. Run the form below for a public channel check.
Start with the change window
Compare recent uploads against the prior baseline before assuming the algorithm changed. A clean time window makes the diagnosis useful.
Separate channel health from video outliers
One weak upload is not the same as a channel trend. Kolliq treats creator health as a pattern across recent videos.
Check topic and competitor movement
If adjacent creators are growing on similar topics, the problem may be packaging or angle. If the whole cluster is down, the issue may be wider demand.