粉ミルク
@kona_chocolate
59
Video Count573.8M
Video View1.2M
Subscriber#763
Japan Rank#47,378
Global RankGeneral and Music ranking performance
General
Global
Japan
Music
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
クリスマスソング / back number (cover)
50.9M
Views
204.6K
Likes
10.1K
Comments
Opportunity for growth
夢見月に何想ふ / RADWIMPS (cover)
11.4K
Views
2.2K
Likes
216
Comments
Analysis of 46 long-form videos
クリスマスソング / back number (cover)
• Long videos make up 92% 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 3 main categories
Key performance indicators and trends
Music dominates with 37% of content
Pop Music has highest avg views
Music shows strongest growth
Most used tags across 322 tag instances
12 tags in category
3 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #粉ミルクTop 1 | 61 | 7.3M | 0.73% | +0% | 80/100 |
| #弾き語りTop 2 | 27 | 7.1M | 0.77% | +0% | 78/100 |
| #back numberTop 3 | 26 | 9.3M | 0.61% | +0% | 99/100 |
| #カバー | 25 | 4.1M | 1.00% | +0% | 51/100 |
| #粉ミルク cover | 25 | 10.8M | 0.56% | +0% | 114/100 |
| #粉ミルク 弾き語り | 23 | 12M | 0.56% | +0% | 126/100 |
| #cover | 21 | 3.8M | 0.98% | +0% | 48/100 |
| #ギター | 16 | 6.9M | 0.72% | +0% | 77/100 |
| #高嶺の花子さん | 16 | 14.5M | 0.53% | +0% | 150/100 |
| #花束 | 15 | 15M | 0.53% | +0% | 155/100 |
| #ヒロイン | 15 | 12M | 0.55% | +0% | 126/100 |
| #クリスマスソング | 14 | 12.4M | 0.56% | +0% | 130/100 |
| #カラオケ | 13 | 12.1M | 0.64% | +0% | 127/100 |
| #歌詞付き | 13 | 13.7M | 0.55% | +0% | 142/100 |
| #back number cover | 12 | 5.9M | 0.77% | +0% | 66/100 |
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