@bolshoe_show_official vs @lolasdohla
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 555 objects.
Большое шоу
@bolshoe_show_official
82
отвечает
vs
лолаленд
@lolasdohla
82
отвечает
A gap of 0 points is within the margin of error: the two are effectively level.
@bolshoe_show_official is stronger on: охват.
@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”.
@bolshoe_show_official@lolasdohla
охват
вовлечённость
активность
Position in the category
@bolshoe_show_official
@lolasdohla
Measured values
| Metric | @bolshoe_show_official | @lolasdohla |
|---|---|---|
| Subscribers | 9.8K | 5.2K |
| Median views | 6.2K | 3.1K |
| Engagement rate | 28.5% | 52.0% |
| Posts per month | 22 | 25 |
| 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.
@bolshoe_show_official
@lolasdohla