General and Howto & Style ranking performance
General
Global
Russia
Howto & Style
Global
Russia
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
Запуск почти ЛИТРОВОГО УРАЛА! 940 кубов и степень сжатия 10.2 как у Приоры!
416K
Views
7.7K
Likes
353
Comments
Opportunity for growth
Вечерний стрим с Чётоделом!
0
Views
0
Likes
0
Comments
Analysis of 24 long-form videos
Собрал ЛИТРОВЫЙ УРАЛ! Как и зачем?
• Long videos make up 48% of total content
• Average performance: Lower than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 5 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 49% of content
Vehicle has highest avg views
Lifestyle Sociology shows strongest growth
Most used tags across 454 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #мотоцикл уралTop 1 | 37 | 57.5K | 3.37% | +0% | 34/100 |
| #саня чётоделTop 2 | 36 | 57.3K | 3.48% | +0% | 35/100 |
| #четоделTop 3 | 35 | 47.1K | 3.87% | +0% | 39/100 |
| #мотоцикл с коляской | 34 | 58.6K | 3.44% | +0% | 35/100 |
| #саня четодел | 33 | 59.4K | 3.42% | +0% | 35/100 |
| #мото | 31 | 48.7K | 3.77% | +0% | 38/100 |
| #мотоцикл | 30 | 47.9K | 3.84% | +0% | 39/100 |
| #moto | 29 | 51K | 3.80% | +0% | 39/100 |
| #motorcycle | 29 | 51K | 3.80% | +0% | 39/100 |
| #урал | 28 | 59.9K | 3.07% | +0% | 31/100 |
| #мотоциклы | 27 | 51.7K | 3.89% | +0% | 39/100 |
| #урал тюнинг | 27 | 65.1K | 3.20% | +0% | 33/100 |
| #байк | 26 | 48K | 4.06% | +0% | 41/100 |
| #bike | 26 | 48K | 4.06% | +0% | 41/100 |
| #имз | 26 | 63.6K | 3.09% | +0% | 32/100 |
Strategic recommendations and performance highlights
Top 5 by view count





Top 5 by like count





Top 5 by comment count





Top 5 by engagement rate





Peak performance metrics across all categories
Top performers across multiple categories



Performance analysis and recommendations