haha ha
@hahahayoutube
Howto & Style882
Video Count578.3M
Video View1.3M
Subscriber#935
South Korea Rank#45,723
Global RankLoading channel statistics
General and Howto & Style ranking performance
General
Global
South Korea
Howto & Style
Global
South Korea
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
삼색이 만큼 털이 부드럽다
192.9K
Views
7.2K
Likes
366
Comments
Opportunity for growth
요즘 유행하는 장난감에 반응하지 않는 이유
22.7K
Views
1.7K
Likes
132
Comments
Analysis of 48 long-form videos
삼색이 만큼 털이 부드럽다
• Long videos make up 96% of total content
• Average performance: Lower than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
Content distribution across 4 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 49% of content
Lifestyle Sociology has highest avg views
Hobby shows strongest growth
Most used tags across 324 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #hahahaTop 1 | 50 | 80.6K | 6.44% | -24% | 65/100 |
| #haha haTop 2 | 50 | 80.6K | 6.44% | -24% | 65/100 |
| #하하하Top 3 | 50 | 80.6K | 6.44% | -24% | 65/100 |
| #하하 하 | 50 | 80.6K | 6.44% | -24% | 65/100 |
| #cat | 44 | 82.6K | 6.36% | -26% | 64/100 |
| #고양이 | 42 | 81.1K | 6.48% | -24% | 66/100 |
| #무 | 7 | 83.7K | 7.35% | +0% | 74/100 |
| #mu | 7 | 86.1K | 7.26% | +0% | 73/100 |
| #kitten | 4 | 91.3K | 6.57% | +77% | 67/100 |
| #턱시도 | 4 | 109.8K | 5.15% | +0% | 53/100 |
| #카오 | 4 | 109.9K | 6.15% | +0% | 63/100 |
| #새끼고양이 | 3 | 94.8K | 6.41% | +81% | 65/100 |
| #캣닢 | 3 | 55K | 11.83% | +0% | 119/100 |
| #만들기 | 3 | 97.4K | 4.76% | +0% | 49/100 |
| #dog | 3 | 70.6K | 5.93% | +0% | 60/100 |
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