General and Entertainment ranking performance
General
Global
Brazil
Entertainment
Global
Brazil
Total Videos
Content Library
Total Views
Lifetime Views
Subscribers
Community Size
Engagement Rate
Audience Interaction
Top performer by views
A LEGEND
8.4M
Views
203.8K
Likes
240
Comments
Opportunity for growth
VAMO TIRAR A LEGEND
4.5K
Views
215
Likes
23
Comments
Analysis of 38 long-form videos
A LEGEND
• Long videos make up 76% of total content
• Average performance: Lower than channel average
• Most common duration: Short Long (1-3 min)
Upload patterns and optimal timing insights
Content distribution across 8 main categories
Key performance indicators and trends
Lifestyle Sociology dominates with 55% of content
Entertainment has highest avg views
Hobby shows strongest growth
Most used tags across 592 tag instances
13 tags in category
2 tags in category
Comprehensive tag metrics and ROI analysis
| Tag | Usage | Avg Views | Engagement | Growth | ROI Score |
|---|---|---|---|---|---|
| #lucas guedesTop 1 | 54 | 1.1M | 2.49% | -50% | 36/100 |
| #ayjyxdc6Top 2 | 47 | 1.1M | 2.54% | -46% | 37/100 |
| #luccas guedesTop 3 | 47 | 1.1M | 2.54% | -46% | 37/100 |
| #vídeos curtos | 44 | 1.2M | 2.55% | -49% | 37/100 |
| #shorts | 43 | 1.2M | 2.55% | -45% | 37/100 |
| #toda criança | 43 | 1M | 2.56% | -26% | 36/100 |
| #ideias incríveis | 41 | 1.2M | 2.53% | -43% | 37/100 |
| #short videos | 40 | 1.2M | 2.52% | -51% | 37/100 |
| #luccas | 40 | 1.2M | 2.58% | -42% | 38/100 |
| #lucas guedes tiktoker | 36 | 1.3M | 2.57% | -55% | 39/100 |
| #shorts | 36 | 1.3M | 2.53% | -47% | 38/100 |
| #fez na infância | 36 | 1.1M | 2.59% | -32% | 36/100 |
| #toda criança fez | 29 | 1.1M | 2.76% | -19% | 39/100 |
| #lucas guedes tiktok | 28 | 1.4M | 2.72% | -61% | 42/100 |
| #videos curtos engraçados | 28 | 1.2M | 2.72% | -13% | 40/100 |
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