Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
Почему Леонардо ДиКаприо — великий актер
565.4K
Views
18K
Likes
1.4K
Comments
Opportunity for growth
Почему «Твин Пикс: Сквозь огонь» провалился в прокате?
5.2K
Views
220
Likes
17
Comments
Analysis of 23 long-form videos
Почему Леонардо ДиКаприо — великий актер
• Long videos make up 46% of total content
• Average performance: Better than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 6 main categories
Key performance indicators and trends
Entertainment dominates with 46% of content
Television Program has highest avg views
Television Program shows strongest growth
Most used tags across 332 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #кинопоискTop 1 | 45 | 82.6K | 4.03% | -18% | 41/100 |
| #kinopoiskTop 2 | 27 | 120.8K | 4.24% | -47% | 44/100 |
| #киноTop 3 | 25 | 129.2K | 4.25% | -51% | 44/100 |
| #фильм | 25 | 129.2K | 4.25% | -51% | 44/100 |
| #кинокритика | 25 | 129.2K | 4.25% | -51% | 44/100 |
| #режиссер | 25 | 129.2K | 4.25% | -51% | 44/100 |
| #скрытый смысл | 25 | 129.2K | 4.25% | -51% | 44/100 |
| #смысл фильма | 25 | 129.2K | 4.25% | -51% | 44/100 |
| #обзор фильма | 25 | 129.2K | 4.25% | -51% | 44/100 |
| #сцена фильма | 25 | 129.2K | 4.25% | -51% | 44/100 |
| #кинематограф | 25 | 129.2K | 4.25% | -51% | 44/100 |
| #видеоэссе | 16 | 25.5K | 2.43% | +0% | 25/100 |
| #леонардо дикаприо | 7 | 120K | 3.51% | +0% | 36/100 |
| #оскар | 6 | 206.4K | 3.81% | -59% | 40/100 |
| #видеоэссе кинопоиска | 6 | 14.9K | 3.08% | +0% | 31/100 |
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