@USSResearch vs @knigosmotr
The score is an object’s place inside its own category, so only neighbours within a category are worth comparing. The category selected now is “Книги и аудиокниги”, and it holds 864 objects.
Александр Фокин USSResearch
@USSResearch
87
отвечает
vs
Книгосмотр. Больно, но по делу
@knigosmotr
85
отвечает
A gap of 2 points is within the margin of error: the two are effectively level.
@knigosmotr is stronger on: охват.
Where the gap comes from
Each bar is the object’s place among its category neighbours: 100% means “best in the category on that component”.
@USSResearch@knigosmotr
охват
вовлечённость
активность
Position in the category
@USSResearch
@knigosmotr
Measured values
| Metric | @USSResearch | @knigosmotr |
|---|---|---|
| Subscribers | 12.6K | 16.5K |
| Median views | 1.8K | 4.9K |
| Engagement rate | — | 26.2% |
| Posts per month | 50 | 36 |
| Purity multiplier | 1.00 | 1.00 |
Views on recent posts
Older posts on the left, newer on the right. A flat line means a steady audience; a jagged one means the channel depends on the occasional viral post.
@USSResearch
no data
@knigosmotr