コットンきょんの人間観察ちゃんねる
@cotton_kyon
Entertainment1.1K
Video Count92.9M
Video View226.0K
Subscriber#3,464
Japan Rank#107,844
Global RankLoading channel statistics
General and Entertainment ranking performance
General
Global
Japan
Entertainment
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
献立に文句をいう息子を怒るお母さん
167.6K
Views
3.2K
Likes
187
Comments
Opportunity for growth
彼氏がインスタでフォローしてる人をチェックする女
4.4K
Views
94
Likes
3
Comments
Analysis of 42 long-form videos
献立に文句をいう息子を怒るお母さん
• Long videos make up 84% of total content
• Average performance: Lower than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 4 main categories
Key performance indicators and trends
Entertainment dominates with 45% of content
Entertainment has highest avg views
Television Program shows strongest growth
Most used tags across 484 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #芸人Top 1 | 50 | 31.1K | 2.55% | -1% | 26/100 |
| #お笑いTop 2 | 50 | 31.1K | 2.55% | -1% | 26/100 |
| #コットンTop 3 | 50 | 31.1K | 2.55% | -1% | 26/100 |
| #あるある | 50 | 31.1K | 2.55% | -1% | 26/100 |
| #コント | 50 | 31.1K | 2.55% | -1% | 26/100 |
| #きょん | 50 | 31.1K | 2.55% | -1% | 26/100 |
| #コットンきょん | 50 | 31.1K | 2.55% | -1% | 26/100 |
| #人間観察 | 50 | 31.1K | 2.55% | -1% | 26/100 |
| #修羅場 | 24 | 30K | 2.43% | -32% | 25/100 |
| #ケンカ | 17 | 31.1K | 2.59% | -6% | 26/100 |
| #カップル | 10 | 27.4K | 2.35% | -54% | 24/100 |
| #飲み会 | 10 | 25K | 2.46% | +14% | 25/100 |
| #恋愛 | 9 | 26.3K | 2.24% | -50% | 23/100 |
| #友達 | 7 | 25.5K | 3.24% | -29% | 33/100 |
| #女子会 | 7 | 27.8K | 2.17% | -31% | 22/100 |
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