Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
【甘すぎて蜜】あのキャラクター目線で「好きすぎて滅!」替え歌してみた。#shorts #歌ってみた #tiktok
703.4K
Views
6.6K
Likes
85
Comments
Opportunity for growth
【勝手に主題歌②】「少年ジャンプ+」連載中漫画のオープニング作ってみた!【WITCHRIV ウィッチリヴ】(なすお☆ アニメOP)
716
Views
98
Likes
14
Comments
Analysis of 24 long-form videos
【甘すぎて蜜】あのキャラクター目線で「好きすぎて滅!」替え歌してみた。#shorts #歌ってみた #tiktok
• Long videos make up 48% 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 4 main categories
Key performance indicators and trends
Entertainment dominates with 31% of content
Entertainment has highest avg views
Music Of Asia shows strongest growth
Most used tags across 195 tag instances
14 tags in category
1 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #なすお☆Top 1 | 50 | 118.8K | 1.92% | +183% | 20/100 |
| #shortsTop 2 | 43 | 137.6K | 1.89% | +204% | 20/100 |
| #歌ってみたTop 3 | 19 | 176.3K | 1.76% | +328% | 19/100 |
| #替え歌 | 15 | 126.4K | 1.67% | +810% | 18/100 |
| #オリジナル曲 | 13 | 57.5K | 2.82% | +57% | 29/100 |
| #milk | 8 | 232.7K | 1.47% | +417% | 17/100 |
| #りみー | 8 | 32.1K | 3.60% | -75% | 36/100 |
| #好きすぎて滅! | 7 | 258.8K | 1.41% | +100% | 17/100 |
| #asobi同盟 | 5 | 243.9K | 1.68% | +203% | 19/100 |
| #まるしかくさんかく | 5 | 44.6K | 2.48% | +67% | 25/100 |
| #マーク | 5 | 44.6K | 2.48% | +67% | 25/100 |
| #意味が分かると怖い話 | 5 | 186.3K | 2.15% | +293% | 23/100 |
| #絵文字 | 4 | 49.6K | 2.62% | +390% | 27/100 |
| #好きすぎて滅 | 4 | 18.1K | 3.91% | -55% | 39/100 |
| #踊ってみた | 4 | 152.3K | 1.57% | +619% | 17/100 |
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