Global & Regional Performance
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
EDGWARE ROAD (Bakerloo Line) Underground Station (2025)
578
Views
9
Likes
1
Comments
Opportunity for growth
GERRARD STREET in London Chinatown on Saturday Night! (2025) Walking Through
1
Views
0
Likes
0
Comments
Analysis of 50 long-form videos
EDGWARE ROAD (Bakerloo Line) Underground Station (2025)
• Long videos make up 100% of total content
• Average performance: Better than channel average
• Most common duration: Medium (3-10 min)
Upload patterns and optimal timing insights
Content distribution across 3 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 50% of content
Vehicle has highest avg views
Tourism shows strongest growth
Most used tags across 97 tag instances
15 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #london undergroundTop 1 | 24 | 233 | 1.29% | +0% | 13/100 |
| #london underground journeysTop 2 | 16 | 173 | 1.73% | +0% | 17/100 |
| #london underground journeyTop 3 | 10 | 190 | 2.11% | +0% | 21/100 |
| #district line | 6 | 199 | 1.51% | +0% | 15/100 |
| #london underground 2025 | 5 | 166 | 1.20% | +0% | 12/100 |
| #london | 5 | 123 | 2.44% | +0% | 24/100 |
| #jubilee line | 5 | 178 | 1.69% | +0% | 17/100 |
| #piccadilly line | 4 | 216 | 1.39% | +0% | 14/100 |
| #southeastern | 4 | 164 | 1.83% | +0% | 18/100 |
| #dlr | 3 | 14 | 0.00% | +0% | 0/100 |
| #dlr journeys | 3 | 20 | 5.00% | +0% | 50/100 |
| #docklands light railway | 3 | 14 | 0.00% | +0% | 0/100 |
| #east london | 3 | 57 | 1.75% | +0% | 18/100 |
| #national rail | 3 | 213 | 0.94% | +0% | 9/100 |
| #thameslink | 3 | 183 | 1.64% | +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
