Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
“Heated Rivalry’s” Connor Storrie and Hudson Williams Read Thirst Tweets
615.5K
Views
71.3K
Likes
4K
Comments
Opportunity for growth
Lookout for some of our own tweets that made it into the "SEVENTEEN Reads Thirst Tweets" video 🥵
683
Views
107
Likes
6
Comments
Analysis of 14 long-form videos
“Heated Rivalry’s” Connor Storrie and Hudson Williams Read Thirst Tweets
• Long videos make up 28% 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 9 main categories
Key performance indicators and trends
Entertainment dominates with 61% of content
Humour has highest avg views
Film shows strongest growth
Most used tags across 16 tag instances
14 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #buzzfeedTop 1 | 2 | 70.8K | 6.80% | -98% | 69/100 |
| #buzzfeed celebTop 2 | 2 | 70.8K | 6.80% | -98% | 69/100 |
| #dkTop 3 | 1 | 2.8K | 2.39% | +100% | 24/100 |
| #fangirl | 1 | 2.8K | 2.39% | +100% | 24/100 |
| #kpop idols | 1 | 2.8K | 2.39% | +100% | 24/100 |
| #phone a fan girl | 1 | 2.8K | 2.39% | +100% | 24/100 |
| #rm | 1 | 2.8K | 2.39% | +100% | 24/100 |
| #n/a | 1 | 25.3K | 7.62% | +0% | 76/100 |
| #aryan simhadri | 1 | 138.8K | 6.89% | +0% | 70/100 |
| #leah sava jeffries | 1 | 138.8K | 6.89% | +0% | 70/100 |
| #walker scobell | 1 | 138.8K | 6.89% | +0% | 70/100 |
| #percy jackson | 1 | 138.8K | 6.89% | +0% | 70/100 |
| #puppies | 1 | 138.8K | 6.89% | +0% | 70/100 |
| #puppy interview | 1 | 138.8K | 6.89% | +0% | 70/100 |
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