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
【三木大雲】お経に隠された〝アカシック・レコード〟の正体とは!?釈迦が最後に明かした「思考を現実化する方法」が衝撃すぎる。
288.2K
Views
12K
Likes
406
Comments
Opportunity for growth
ほとんどの人が知らないエボシ御前の「過去」 #もののけ姫
9.4K
Views
371
Likes
2
Comments
Analysis of 37 long-form videos
【三木大雲】お経に隠された〝アカシック・レコード〟の正体とは!?釈迦が最後に明かした「思考を現実化する方法」が衝撃すぎる。
• Long videos make up 74% of total content
• Average performance: Better than channel average
• Most common duration: Very Long (30+ min)
Upload patterns and optimal timing insights
Content distribution across 5 main categories
Key performance indicators and trends
Entertainment dominates with 42% of content
Health has highest avg views
Entertainment shows strongest growth
Most used tags across 194 tag instances
13 tags in category
2 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #都市伝説Top 1 | 49 | 92.1K | 5.39% | -30% | 55/100 |
| #tolandTop 2 | 49 | 92.1K | 5.39% | -30% | 55/100 |
| #toland vlogTop 3 | 12 | 156.4K | 5.67% | -21% | 58/100 |
| #日本神話 | 11 | 136.7K | 5.78% | +0% | 59/100 |
| #tolandvlog | 11 | 100.5K | 5.55% | +0% | 57/100 |
| #日本文化 | 8 | 145.7K | 5.28% | +0% | 54/100 |
| #歴史ミステリー | 7 | 152.3K | 6.48% | -20% | 66/100 |
| #神道 | 7 | 152.4K | 5.97% | +0% | 61/100 |
| #秦氏 | 7 | 166.4K | 5.84% | +0% | 60/100 |
| #陰謀論 | 6 | 130.9K | 6.59% | -5% | 67/100 |
| #秦河勝 | 6 | 162.4K | 5.71% | +0% | 59/100 |
| #日本精神 | 6 | 95.6K | 5.72% | +0% | 58/100 |
| #歴史 | 5 | 163.8K | 6.87% | -27% | 70/100 |
| #スピリチュアル | 5 | 134.3K | 5.13% | +0% | 53/100 |
| #精神世界 | 5 | 134.3K | 5.13% | +0% | 53/100 |
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