도롱챠 DOLONGCHA
@dolongcha
Comedy2.0K
Video Count1.2B
Video View216.0K
Subscriber#3,853
South Korea Rank#109,692
Global RankLoading channel statistics
General and Comedy ranking performance
General
Global
South Korea
Comedy
Global
South Korea
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
이름 맞추는데 막내가 배신함
1.6M
Views
22.7K
Likes
1.1K
Comments
Opportunity for growth
챗 GPT 선정 가장 한심한 질문 | 카페탐방
3.5K
Views
148
Likes
22
Comments
Analysis of 48 long-form videos
이름 맞추는데 막내가 배신함
• Long videos make up 96% of total content
• Average performance: Better than channel average
• Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
Content distribution across 6 main categories
Key performance indicators and trends
Humour dominates with 61% of content
Entertainment has highest avg views
Entertainment shows strongest growth
Most used tags across 732 tag instances
14 tags in category
1 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #vtuberTop 1 | 50 | 523.6K | 1.59% | -7% | 21/100 |
| #vtuberTop 2 | 50 | 523.6K | 1.59% | -7% | 21/100 |
| #버튜버Top 3 | 50 | 523.6K | 1.59% | -7% | 21/100 |
| #버츄얼유튜버 | 50 | 523.6K | 1.59% | -7% | 21/100 |
| #dolongcha | 50 | 523.6K | 1.59% | -7% | 21/100 |
| #도롱챠 | 50 | 523.6K | 1.59% | -7% | 21/100 |
| #도롱챠 | 50 | 523.6K | 1.59% | -7% | 21/100 |
| #카페탐방 | 50 | 523.6K | 1.59% | -7% | 21/100 |
| #도롱챠 카페탐방 | 50 | 523.6K | 1.59% | -7% | 21/100 |
| #shorts | 47 | 556.6K | 1.58% | -7% | 21/100 |
| #쇼츠 | 47 | 556.6K | 1.58% | -7% | 21/100 |
| #치지직 | 47 | 556.6K | 1.58% | -7% | 21/100 |
| #치지직 버튜버 | 47 | 556.6K | 1.58% | -7% | 21/100 |
| #웃음 | 47 | 556.6K | 1.58% | -7% | 21/100 |
| #리액션 | 47 | 556.6K | 1.58% | -7% | 21/100 |
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