@msimonyan_literature vs @USSResearch
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 869 objects.
Маргарита Симоньян. Литература и История
@msimonyan_literature
90
отвечает
vs
Александр Фокин USSResearch
@USSResearch
89
отвечает
A gap of 1 points is within the margin of error: the two are effectively level.
@msimonyan_literature 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”.
@msimonyan_literature@USSResearch
охват
вовлечённость
активность
Position in the category
@msimonyan_literature
@USSResearch
Measured values
| Metric | @msimonyan_literature | @USSResearch |
|---|---|---|
| Subscribers | 88.5K | 12.5K |
| Median views | 13.0K | 2.1K |
| Engagement rate | 38.8% | — |
| Posts per month | 44 | 48 |
| 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.
@msimonyan_literature
@USSResearch
no data