Analyze your YouTube Shorts and predict their viral potential. Get a score from 0-100 with detailed breakdown of hook strength, trending topics, and engagement potential.
The key elements we analyze to predict viral potential.
Every second counts in a YouTube Short.
What each score range means for your Shorts potential.
Proven strategies from top Shorts creators.
Enter any public YouTube Shorts URL. We'll fetch the video data and metadata for analysis.
We analyze hook potential, trending elements, engagement signals, and retention factors.
Receive a viral score (0-100), factor breakdown, and personalized improvement tips.
Common traits of viral YouTube Shorts.
A score of 80-100 indicates excellent viral potential with strong hook, trending content, and high engagement likelihood. Scores of 60-79 are good with room for optimization. 40-59 is average, and below 40 needs significant improvement. Most viral Shorts that hit millions of views typically score 75+.
The hook (first 1-3 seconds) is the most critical factor, accounting for about 35% of viral potential. Following that: trending topic/sound relevance (25%), engagement triggers (25%), and watch time/retention (15%). The first second is make-or-break - if viewers scroll past, nothing else matters.
Our viral score analyzes known factors that correlate with viral Shorts based on successful content patterns. While no tool can guarantee virality (which also depends on algorithm timing, luck, and audience mood), our predictions help identify optimization opportunities. Use it as a guide to improve your content before posting.
Extremely important. Studies show viewers decide within 0.5-1 seconds whether to keep watching. The Shorts feed is infinite scroll - if your first frame doesn't stop thumbs, you lose the viewer forever. Top creators spend 80% of their effort on the first 3 seconds. Movement, text hooks, or surprising visuals are essential.
Yes, significantly. YouTube's algorithm groups Shorts by audio, meaning if a sound is trending, all videos using it get extra distribution. Early adopters of new trending sounds see the biggest boosts. Check the Shorts shelf regularly for emerging sounds. Original audio can also work if your content is exceptional.
YouTube measures watch-through rate - what percentage of viewers watch to the end. High completion rates signal quality content. Even better: loop views where viewers rewatch (counted as additional views). Create seamless loops and satisfying endings. 15-30 second Shorts often outperform longer ones due to higher completion rates.
In order of importance: 1) Watch time (completion and loops), 2) Shares (strongest signal of value), 3) Comments (especially quick comments indicating engagement), 4) Likes. Saves also matter. YouTube weighs early engagement heavily - the first hour determines if your Short gets pushed widely.
Partially. You can update the title and description (add trending hashtags), but the video content itself cannot be changed. If a Short underperforms, analyze why using this tool, then create an improved version with a better hook or trending element. Some creators repost optimized versions with success.
Volume increases chances. Most viral creators post 1-3 Shorts daily. With more attempts, you're more likely to hit the algorithm at the right time. However, quality matters - a single high-score Short outperforms ten low-score ones. Aim for consistent posting of 60+ score content rather than random posting of poor content.
Yes, somewhat. Posting when your target audience is active gives better early engagement signals. Generally, morning (7-9 AM) and evening (7-9 PM) in your audience's timezone work well. However, Shorts stay in circulation longer than regular videos, so timing is less critical than content quality.
Data suggests 15-30 seconds often performs best due to higher completion rates. However, 45-60 second Shorts work for tutorial/story content. The key is: only as long as needed. Cut ruthlessly. A tight 20-second Short outperforms a padded 55-second one. Match length to content type.
Virality involves factors beyond optimization: algorithm timing (sometimes YouTube tests with small audience first), competition (too many similar Shorts that day), niche saturation, and pure luck. A high score means strong potential - keep posting quality content consistently. Most creators need 50-100 Shorts before one hits big.
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