@lolasdohla vs @bolshoe_show_official
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 “Работа и вакансии”, and it holds 542 objects.
лолаленд
@lolasdohla
83
отвечает
vs
Большое шоу
@bolshoe_show_official
82
отвечает
A gap of 1 points is within the margin of error: the two are effectively level.
@lolasdohla is stronger on: вовлечённость.
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”.
@lolasdohla@bolshoe_show_official
охват
вовлечённость
активность
Position in the category
@lolasdohla
@bolshoe_show_official
Measured values
| Metric | @lolasdohla | @bolshoe_show_official |
|---|---|---|
| Subscribers | 5.1K | 9.8K |
| Median views | 3.3K | 6.2K |
| Engagement rate | 52.0% | 28.5% |
| Posts per month | 21 | 24 |
| 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.
@lolasdohla
@bolshoe_show_official