@masterhua_nutritionist
Master Hua
✅5yrs Experienced 📜Nutritionist Certified by UM 🤝Helped over 5000 peoples
512.7K
Total Views
8.3K
Total Likes
1.6K
Total Shares
671
Total Comments
Viral Timeline
Click any point to view full video analytics
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.
- •Comments significantly below average - opportunity for improvement.
Focus on creating more emotionally resonant content with strong hooks in the first 3 seconds. Consider experimenting with trending sounds and hashtags to boost visibility.
Recent Top Videos
About @masterhua_nutritionist's TikTok Analytics
@masterhua_nutritionist (Master Hua) is a TikTok creator with 6.2K followers and 13.1K total likes. Based on our analysis of 19 videos, @masterhua_nutritionist has an engagement rate of 8.98%, earning a creator score of A.
The average video from @masterhua_nutritionist receives approximately 27K views.
Viral Performance Analysis
Out of 19 tracked videos, @masterhua_nutritionist has achieved 2 viral hits (videos with 2x+ their average views), representing a 10.5% viral ratio. Their breakout moment came on 2025-06-16, when a video achieved 295.6K views — significantly above their average of 27K views.
@masterhua_nutritionist's video performance has seen some fluctuation, which is common for creators experimenting with content strategies.
How to Get More Analytics on @masterhua_nutritionist
Toklytics provides free, comprehensive TikTok analytics through our Chrome extension. Simply install the extension and visit @masterhua_nutritionist'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