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
【公式】名探偵コナン「愚か者への遺産」萩原千速&神奈川県警セレクション
279.6K
Views
3.2K
Likes
283
Comments
Opportunity for growth
【公式】名探偵コナン「警察学校編 Wild Police Story(CASE.松田陣平・CASE.伊達航・CASE.萩原研二・CASE.諸伏景光・CASE. 降谷零)」警察学校&警視庁セレクション
0
Views
159
Likes
29
Comments
Analysis of 29 long-form videos
【公式】名探偵コナン「愚か者への遺産」萩原千速&神奈川県警セレクション
• Long videos make up 58% of total content
• Average performance: Better than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 6 main categories
Key performance indicators and trends
Entertainment dominates with 47% of content
Film has highest avg views
Television Program shows strongest growth
Most used tags across 351 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #読売テレビTop 1 | 44 | 73.9K | 2.50% | -9% | 26/100 |
| #ハイウェイの堕天使Top 2 | 31 | 82.9K | 2.51% | -20% | 26/100 |
| #アニメTop 3 | 30 | 49.3K | 3.67% | -46% | 37/100 |
| #名探偵コナン | 25 | 95.7K | 1.72% | -21% | 18/100 |
| #コナン | 25 | 95.7K | 1.72% | -21% | 18/100 |
| #コナンop | 25 | 95.7K | 1.72% | -21% | 18/100 |
| #少年サンデー | 19 | 45.1K | 4.70% | -41% | 47/100 |
| #小学館 | 19 | 45.1K | 4.70% | -41% | 47/100 |
| #高山みなみ | 19 | 45.1K | 4.70% | -41% | 47/100 |
| #山口勝平 | 19 | 45.1K | 4.70% | -41% | 47/100 |
| #山崎和佳奈 | 19 | 45.1K | 4.70% | -41% | 47/100 |
| #コナン映画 | 19 | 45.1K | 4.70% | -41% | 47/100 |
| #コナン黒幕 | 19 | 45.1K | 4.70% | -41% | 47/100 |
| #黒の組織 | 19 | 45.1K | 4.70% | -41% | 47/100 |
| #少年探偵団 | 19 | 45.1K | 4.70% | -41% | 47/100 |
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