マセキ芸能社公式チャンネル
@masekigeinosha
Entertainment3.2K
Video Count92.2M
Video View87.0K
Subscriber#5,346
Japan Rank#148,596
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
つめたいごはん『浅い沼にハマってしまっている女性へメッセージ』
2.1K
Views
83
Likes
16
Comments
Opportunity for growth
でぃ『夢』
0
Views
0
Likes
0
Comments
Analysis of 50 long-form videos
つめたいごはん『浅い沼にハマってしまっている女性へメッセージ』
• 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 7 main categories
Key performance indicators and trends
Entertainment dominates with 62% of content
Performing Arts has highest avg views
Fashion shows strongest growth
Most used tags across 123 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #マセキTop 1 | 50 | 337 | 4.15% | +37% | 42/100 |
| #お笑いTop 2 | 50 | 337 | 4.15% | +37% | 42/100 |
| #岩永圭吾Top 3 | 3 | 607 | 4.45% | +447% | 45/100 |
| #倉田シウマイ | 3 | 607 | 4.45% | +447% | 45/100 |
| #古川彰悟 | 3 | 423 | 2.60% | +274% | 26/100 |
| #依藤たかゆき | 3 | 423 | 2.60% | +274% | 26/100 |
| #細田祥平 | 2 | 395 | 4.81% | +0% | 48/100 |
| #松村祥維 | 2 | 395 | 4.81% | +0% | 48/100 |
| #ギシ | 1 | 58 | 1.72% | +100% | 17/100 |
| #ならた | 1 | 58 | 1.72% | +100% | 17/100 |
| #棒 | 1 | 323 | 3.72% | +100% | 37/100 |
| #鉄ヘチマ | 1 | 323 | 3.72% | +100% | 37/100 |
| #富士 | 1 | 3 | 66.67% | +0% | 667/100 |
| #一般ピーポーヒデ | 1 | 3 | 66.67% | +0% | 667/100 |
| #具志堅 | 1 | 10 | 20.00% | +0% | 200/100 |
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