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
HORI7ON(ํธ๋ผ์ด์ฆ) โSUMAYAW SUMUNODโ M/V
1.4M
Views
25.1K
Likes
8.8K
Comments
Opportunity for growth
New:ID "GHOST" Challenge #1๐ป ๐ 2024.07.25. 12AM (PHT) #New_ID #๋ด์ด๋ #GHOST
4.3K
Views
574
Likes
19
Comments
Analysis of 16 long-form videos
HORI7ON(ํธ๋ผ์ด์ฆ) โSUMAYAW SUMUNODโ M/V
โข Long videos make up 94% of total content
โข Average performance: Better than channel average
โข Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
Content distribution across 5 main categories
Key performance indicators and trends
Music Of Asia dominates with 33% of content
Music has highest avg views
Music Of Asia shows strongest growth
Most used tags across 240 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #baamTop 1 | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #๋ฐฐ์ Top 2 | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #mldTop 3 | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #์ ์๋ | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #์ ์๋์ํฐํ ์ธ๋จผํธ | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #mldentertainment | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #๋ชจ๋ชจ๋๋ | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #momoland | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #๋ธ์ | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #์ฃผ์ด | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #์ฐ์ฐ | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #ํ๋น | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #๋์ค | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #์ ์ธ | 16 | 213.9K | 5.69% | +0% | 59/100 |
| #์์ธ | 16 | 213.9K | 5.69% | +0% | 59/100 |
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