General and Entertainment ranking performance
General
Global
Hong Kong
Entertainment
Global
Hong Kong
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
【加长版FULL🔥】EP3加更完整版上线!白鹿拍摄秘诀透露?! 跑男团为何集体rap起来?李晨沙溢“大黑猴”vs“老孔雀”霸气互怼!宋雨琦张真源敖瑞鹏“用嘴接瀑布”?2025精选特辑|奔跑吧天路篇
65.3K
Views
478
Likes
35
Comments
Opportunity for growth
【旅行手记💕】白鹿钱包余额“危” 贴胡子喜提0分!撒娇砍价引爆好感度 |奔跑吧天路篇
423
Views
13
Likes
3
Comments
Analysis of 19 long-form videos
【加长版FULL🔥】EP3加更完整版上线!白鹿拍摄秘诀透露?! 跑男团为何集体rap起来?李晨沙溢“大黑猴”vs“老孔雀”霸气互怼!宋雨琦张真源敖瑞鹏“用嘴接瀑布”?2025精选特辑|奔跑吧天路篇
• Long videos make up 38% of total content
• Average performance: Lower than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
Content distribution across 3 main categories
Key performance indicators and trends
Entertainment dominates with 48% of content
Entertainment has highest avg views
Entertainment shows strongest growth
Most used tags across 750 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #奔跑吧特别季Top 1 | 50 | 8K | 1.63% | +0% | 16/100 |
| #奔跑吧2024Top 2 | 50 | 8K | 1.63% | +0% | 16/100 |
| #李晨Top 3 | 50 | 8K | 1.63% | +0% | 16/100 |
| #周深 | 50 | 8K | 1.63% | +0% | 16/100 |
| #白鹿 | 50 | 8K | 1.63% | +0% | 16/100 |
| #郑恺 | 50 | 8K | 1.63% | +0% | 16/100 |
| #张真源 | 50 | 8K | 1.63% | +0% | 16/100 |
| #沙溢 | 50 | 8K | 1.63% | +0% | 16/100 |
| #范丞丞 | 50 | 8K | 1.63% | +0% | 16/100 |
| #宋雨琦 | 50 | 8K | 1.63% | +0% | 16/100 |
| #奔跑吧第八季 | 50 | 8K | 1.63% | +0% | 16/100 |
| #benpaoba | 50 | 8K | 1.63% | +0% | 16/100 |
| #奔跑吧路透 | 50 | 8K | 1.63% | +0% | 16/100 |
| #奔跑吧兄弟 | 50 | 8K | 1.63% | +0% | 16/100 |
| #路透 | 50 | 8K | 1.63% | +0% | 16/100 |
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