@jwfarleyauthor
JayFarleyAuthor
Science-Fiction/Fantasy fan and author. I talk books, table top gaming, and whatever else I want. Weird humor! The Night Between Stars, available now!
27.2K
Total Views
600
Total Likes
21
Total Shares
76
Total Comments
Viral Timeline
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Deep Analytics
Viral Factors
What's driving your viral potential
Strengths & Opportunities
Create more relatable, tag-a-friend content.
Engagement Funnel
How viewers convert to engagement
Insights
- β’Engagement rate below TikTok average - consider more interactive content.
- β’Likes significantly below average - opportunity for improvement.
- β’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 @jwfarleyauthor's TikTok Analytics
@jwfarleyauthor (JayFarleyAuthor) is a TikTok creator with 1.8K followers and 75.6K total likes. Based on our analysis of 34 videos, @jwfarleyauthor has an engagement rate of 1.13%, earning a creator score of D.
The average video from @jwfarleyauthor receives approximately 799.9411764705883 views.
Viral Performance Analysis
Out of 34 tracked videos, @jwfarleyauthor has achieved 2 viral hits (videos with 2x+ their average views), representing a 5.9% viral ratio. Their breakout moment came on 2024-06-16, when a video achieved 8.7K views β significantly above their average of 799.9411764705883 views.
@jwfarleyauthor's video performance has seen some fluctuation, which is common for creators experimenting with content strategies.
How to Get More Analytics on @jwfarleyauthor
Toklytics provides free, comprehensive TikTok analytics through our Chrome extension. Simply install the extension and visit @jwfarleyauthor'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