임다TV
@imda_official
Music3.0K
Video Count807.7M
Video View1.3M
Subscriber#911
South Korea Rank#44,334
Global RankLoading channel statistics
General and Music ranking performance
General
Global
South Korea
Music
Global
South Korea
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
베스킨 라빈스 31 게임 무조건 승리하는 방법
107.2K
Views
691
Likes
16
Comments
Opportunity for growth
무슨 뜻일까요?
352
Views
27
Likes
3
Comments
Analysis of 43 long-form videos
베스킨 라빈스 31 게임 무조건 승리하는 방법
• Long videos make up 86% of total content
• Average performance: Better than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
Content distribution across 8 main categories
Key performance indicators and trends
Video Game Culture dominates with 36% of content
Video Game Culture has highest avg views
Video Game Culture shows strongest growth
Most used tags across 620 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #임다Top 1 | 50 | 9.6K | 1.10% | +65% | 11/100 |
| #아재개그Top 2 | 50 | 9.6K | 1.10% | +65% | 11/100 |
| #웃긴영상Top 3 | 50 | 9.6K | 1.10% | +65% | 11/100 |
| #레전드 | 50 | 9.6K | 1.10% | +65% | 11/100 |
| #웃겨라 | 50 | 9.6K | 1.10% | +65% | 11/100 |
| #아프리카tv | 50 | 9.6K | 1.10% | +65% | 11/100 |
| #역대급 | 49 | 9.7K | 1.10% | +72% | 11/100 |
| #반전사진 | 49 | 9.7K | 1.10% | +72% | 11/100 |
| #임다를웃겨라 | 49 | 9.7K | 1.10% | +72% | 11/100 |
| #병맛더빙 | 49 | 9.7K | 1.10% | +72% | 11/100 |
| #성대모사 | 49 | 9.7K | 1.10% | +72% | 11/100 |
| #faker | 22 | 10.7K | 1.20% | +72% | 12/100 |
| #맞히기게임 | 19 | 9.7K | 0.98% | +129% | 10/100 |
| #노래대회 | 17 | 10.5K | 0.95% | +167% | 10/100 |
| #핫클립 | 17 | 10.5K | 0.95% | +167% | 10/100 |
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