@retail_money vs @mtokovinin
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 “Бизнес и маркетинг”, and it holds 1726 objects.
Ритейл и деньги
@retail_money
90
отвечает
vs
Mikhail Tokovinin
@mtokovinin
88
отвечает
A gap of 2 points is within the margin of error: the two are effectively level.
@retail_money 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”.
@retail_money@mtokovinin
охват
вовлечённость
активность
Position in the category
@retail_money
@mtokovinin
Measured values
| Metric | @retail_money | @mtokovinin |
|---|---|---|
| Subscribers | 18.5K | 108.5K |
| Median views | 16.2K | 43.3K |
| Engagement rate | 69.5% | 35.1% |
| Posts per month | 19 | 19 |
| 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.
@retail_money
@mtokovinin