@motovelo.ebikes_aus
MOTOVELO.eBikes_Australia
✨Korea bike brand🚲🛵 Export to USA,Europe and Japan ⬇️Dealer wanted⬇️
2.4M
Total Views
21K
Total Likes
1.8K
Total Shares
1.2K
Total Comments
Viral Timeline
Click any point to view full video analytics
TikTok Video
Deep Analytics
Viral Factors
What's driving your viral potential
Strengths & Opportunities
Post more during 6PM-10PM for maximum reach.
Engagement Funnel
How viewers convert to engagement
Insights
- •Engagement rate below TikTok average - consider more interactive content.
- •Likes significantly below average - opportunity for improvement.
- •Saves significantly below average - opportunity for improvement.
Provide valuable, educational content viewers want to reference later. Tutorials and tips perform well. Consider experimenting with trending sounds and hashtags to boost visibility.
Recent Top Videos
About @motovelo.ebikes_aus's TikTok Analytics
@motovelo.ebikes_aus (MOTOVELO.eBikes_Australia) is a TikTok creator with 0 followers and 0 total likes. Based on our analysis of 77 videos, @motovelo.ebikes_aus has an engagement rate of 0.00%, earning a creator score of F.
The average video from @motovelo.ebikes_aus receives approximately 31.8K views.
Viral Performance Analysis
Out of 77 tracked videos, @motovelo.ebikes_aus has achieved 8 viral hits (videos with 2x+ their average views), representing a 10.4% viral ratio. Their breakout moment came on 2025-09-13, when a video achieved 421.7K views — significantly above their average of 31.8K views.
@motovelo.ebikes_aus's recent videos show 2665% growth compared to their earlier content, indicating an upward trajectory.
How to Get More Analytics on @motovelo.ebikes_aus
Toklytics provides free, comprehensive TikTok analytics through our Chrome extension. Simply install the extension and visit @motovelo.ebikes_aus's TikTok profile to see:
- Real-time engagement rate calculations
- Video-by-video performance breakdown
- Viral ratio and consistency scores
- Growth trends and posting patterns
- Export all data to CSV for analysis