腦洞大開
@naodong
1.0K
Video Count552.4M
Video View1.5M
Subscriber#83
Malaysia Rank#37,710
Global RankGeneral and Food ranking performance
General
Global
Malaysia
Food
Global
Malaysia
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
網紅【辦公室小野】如今怎樣了？事業被毀、萬億流量歸零、團隊解散！人設崩塌現場畫面曝光！
673.1K
Views
6.8K
Likes
920
Comments
Opportunity for growth
台灣將用這「不起眼的東西」搞垮中國！習近平不敢動武的唯一原因！這東西一旦啟動，現代文明瞬間崩塌？
17.4K
Views
723
Likes
212
Comments
Analysis of 50 long-form videos
網紅【辦公室小野】如今怎樣了？事業被毀、萬億流量歸零、團隊解散！人設崩塌現場畫面曝光！
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Long (10-30 min)
Upload patterns and optimal timing insights
More Shorts are needed for analysis.
Content distribution across 6 main categories
Key performance indicators and trends
Food dominates with 33% of content
Health has highest avg views
Food shows strongest growth
Most used tags across 178 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #腦洞大開Top 1 | 50 | 130.3K | 1.82% | +0% | 20/100 |
| #網紅Top 2 | 12 | 175K | 1.44% | +0% | 16/100 |
| #騙局Top 3 | 12 | 178.2K | 1.58% | +0% | 18/100 |
| #流量 | 12 | 178.5K | 1.45% | +0% | 16/100 |
| #活該 | 11 | 162.3K | 1.49% | +0% | 17/100 |
| #詐騙 | 11 | 120.7K | 1.64% | +0% | 18/100 |
| #下場 | 10 | 163.9K | 1.48% | +0% | 16/100 |
| #曝光 | 10 | 159.6K | 1.50% | +0% | 17/100 |
| #揭穿 | 10 | 169.8K | 1.47% | +0% | 16/100 |
| #打臉 | 9 | 172.4K | 1.47% | +0% | 16/100 |
| #造假 | 8 | 121K | 1.68% | +0% | 18/100 |
| #人設崩塌 | 8 | 155.9K | 1.56% | +0% | 17/100 |
| #揭秘 | 5 | 58.6K | 1.99% | +0% | 20/100 |
| #真相 | 5 | 113.1K | 2.46% | +0% | 26/100 |
| #食物 | 5 | 128.8K | 2.23% | +0% | 24/100 |
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