寺村拓也 TV
@tv-gl8go
Entertainment1.7K
Video Count501.2K
Video View965
Subscriber#11,873
Japan Rank#288,874
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
プリキュアシリーズ まとめ集 part 25
10.2K
Views
161
Likes
11
Comments
Opportunity for growth
パチスロリング 呪いの7日間 呪縛RUSH
1
Views
1
Likes
0
Comments
Analysis of 49 long-form videos
プリキュアシリーズ まとめ集 part 25
• Long videos make up 98% of total content
• Average performance: Better than channel average
• Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
Content distribution across 5 main categories
Key performance indicators and trends
Entertainment dominates with 42% of content
Entertainment has highest avg views
Music shows strongest growth
Most used tags across 82 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #アニメTop 1 | 21 | 697 | 1.58% | +2103% | 16/100 |
| #デュラハンTop 2 | 10 | 206 | 2.43% | +100% | 24/100 |
| #プリキュアTop 3 | 8 | 2.9K | 1.74% | +100% | 17/100 |
| #プリキュアシリーズ | 6 | 3.9K | 1.73% | +100% | 17/100 |
| #アニメシリーズ | 6 | 151 | 1.32% | -41% | 13/100 |
| #リング パチスロ | 4 | 7 | 14.29% | +100% | 143/100 |
| #リング パチスロ 初代 | 4 | 7 | 14.29% | +100% | 143/100 |
| #ケンタウロス | 4 | 49 | 0.00% | +0% | 0/100 |
| #ケンタウロス娘 | 4 | 49 | 0.00% | +0% | 0/100 |
| #ガールズ＆パンツァー | 3 | 199 | 3.02% | +100% | 30/100 |
| #バッドエンドプリキュア | 3 | 199 | 3.02% | +100% | 30/100 |
| #首だけ | 3 | 14 | 0.00% | +0% | 0/100 |
| #人魚姫 | 2 | 12 | 8.33% | +100% | 83/100 |
| #ボケモンモンスター | 2 | 877 | 0.46% | +100% | 5/100 |
| #マイジャグラー | 2 | 1.3K | 0.15% | +100% | 2/100 |
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