Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
Behind the Scenes of a TfL Ferry Captain | Transport for London
78.2K
Views
0
Likes
100
Comments
Opportunity for growth
Conversations in the Cloud - Julian Caillon | Transport for London
106
Views
0
Likes
0
Comments
Analysis of 21 long-form videos
Behind the Scenes of a TfL Ferry Captain | Transport for London
• Long videos make up 42% 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 9 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 65% of content
Fashion has highest avg views
Entertainment shows strongest growth
Most used tags across 334 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #transport for londonTop 1 | 34 | 7.1K | 0.46% | +522% | 5/100 |
| #londonTop 2 | 34 | 6.7K | 0.49% | +544% | 5/100 |
| #tflTop 3 | 33 | 7.2K | 0.39% | +529% | 4/100 |
| #train | 32 | 6.8K | 0.44% | +572% | 4/100 |
| #trains | 32 | 7K | 0.66% | +524% | 7/100 |
| #travel | 31 | 7.1K | 0.40% | +535% | 4/100 |
| #tfl history | 30 | 7.1K | 0.35% | +582% | 4/100 |
| #the tube | 30 | 7.1K | 0.35% | +582% | 4/100 |
| #london bus | 30 | 7.1K | 0.35% | +582% | 4/100 |
| #travel london | 30 | 7.1K | 0.35% | +582% | 4/100 |
| #london underground | 6 | 22.9K | 0.74% | +726% | 8/100 |
| #transport | 3 | 3.5K | 4.22% | +0% | 42/100 |
| #pov train ride | 3 | 3.2K | 2.52% | +0% | 25/100 |
| #brixton | 3 | 5.2K | 3.99% | +0% | 40/100 |
| #station | 3 | 3.6K | 2.29% | +0% | 23/100 |
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