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
【要約】糖毒脳 いつまでも「冴えた頭」でいるために知っておきたいこと【下村 健寿】
211.7K
Views
3.8K
Likes
196
Comments
Opportunity for growth
【要約】継続する技術 /200万人の「挫折」と「成功」のデータからわかった 【戸田大介】
19.9K
Views
648
Likes
23
Comments
Analysis of 50 long-form videos
【要約】糖毒脳 いつまでも「冴えた頭」でいるために知っておきたいこと【下村 健寿】
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 3 main categories
Key performance indicators and trends
Entertainment dominates with 79% of content
Health has highest avg views
Health shows strongest growth
Most used tags across 746 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #フェルミ大学Top 1 | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #書籍Top 2 | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #要約Top 3 | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #漫画 | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #マンガ | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #マンガでわかる | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #中田敦彦 | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #youtube大学 | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #勉強 | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #フェルミ漫画大学 | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #まとめ | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #本要約 | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #本まとめ | 50 | 67.7K | 2.30% | -29% | 24/100 |
| #わかりやすい | 48 | 69.2K | 2.29% | -26% | 24/100 |
| #わかりやすく | 48 | 69.2K | 2.29% | -26% | 24/100 |
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