@MoneyBeatsEvil vs @retail_money
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 1951 objects.
Бабло побеждает зло!
@MoneyBeatsEvil
91
отвечает
vs
Ритейл и деньги
@retail_money
91
отвечает
A gap of 0 points is within the margin of error: the two are effectively level.
@MoneyBeatsEvil is stronger on: вовлечённость.
@retail_money is stronger on: активность.
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”.
@MoneyBeatsEvil@retail_money
охват
вовлечённость
активность
Position in the category
@MoneyBeatsEvil
@retail_money
Measured values
| Metric | @MoneyBeatsEvil | @retail_money |
|---|---|---|
| Subscribers | 11.2K | 17.3K |
| Median views | 15.9K | 14.6K |
| Engagement rate | 125.9% | 69.5% |
| Posts per month | 52 | 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.
@MoneyBeatsEvil
@retail_money