General and Kids & Family ranking performance
General
Global
Japan
Kids & Family
Global
Japan
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
「ヘイ・マカレナ!」|モンスター・ホテル映画のベストソング集 ⚡ 4K
46.5K
Views
227
Likes
0
Comments
Opportunity for growth
このかわいいイエティはブルーベリーを巨大にしちゃう!| スノーベイビー | 映画シーン
353
Views
4
Likes
0
Comments
Analysis of 50 long-form videos
「ヘイ・マカレナ!」|モンスター・ホテル映画のベストソング集 ⚡ 4K
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 2 main categories
Key performance indicators and trends
Entertainment dominates with 50% of content
Entertainment has highest avg views
Entertainment shows strongest growth
Most used tags across 80 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #アングリーバードTop 1 | 8 | 2.3K | 0.86% | +19% | 9/100 |
| #映画Top 2 | 7 | 1.5K | 0.85% | +48% | 9/100 |
| #映画シーンTop 3 | 7 | 1.5K | 0.85% | +48% | 9/100 |
| #日本 | 7 | 1.5K | 0.85% | +48% | 9/100 |
| #アニメーション | 7 | 1.5K | 0.85% | +48% | 9/100 |
| #アンツ | 7 | 1.5K | 0.85% | +48% | 9/100 |
| #ラグラッツのパリ探検隊 | 7 | 1.3K | 0.71% | +157% | 7/100 |
| #ピーターラビット | 5 | 1.8K | 0.56% | +0% | 6/100 |
| #スノーベイビー | 5 | 1.1K | 0.62% | +0% | 6/100 |
| #chloe bennet | 5 | 1.1K | 0.62% | +0% | 6/100 |
| #fly!/フライ! | 3 | 3.9K | 0.85% | +100% | 9/100 |
| #sing/シング:ネクストステージ | 3 | 18.6K | 0.83% | +0% | 8/100 |
| #matthew mcconaughey | 3 | 18.6K | 0.83% | +0% | 8/100 |
| #reese witherspoon | 3 | 18.6K | 0.83% | +0% | 8/100 |
| #scarlett johansson | 3 | 18.6K | 0.83% | +0% | 8/100 |
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