YouTube Video Statistics

Get detailed statistics and analytics for any YouTube video

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How to Use This Tool

1

Copy Video URL

Copy the YouTube video URL from your browser address bar.

2

Paste URL

Paste the video URL into the Video Statistics input field.

3

Get Statistics

Click 'Get Statistics' to retrieve comprehensive video metrics.

4

Review Metrics

Check view count, engagement metrics (likes, comments, shares), and calculate engagement rate.

5

Analyze Data

Analyze like-to-view ratio, review video metadata (title, description, tags), and check video age.

6

Optimize Strategy

Compare metrics against channel average, identify patterns in high-performing videos, and track performance over time.

Benefits & Features

Detailed Performance

Analyze individual video performance in detail, tracking views, likes, comments, and engagement.

Engagement Tracking

Calculate engagement rates and metrics to understand audience response to content.

Competitive Analysis

Compare video performance against benchmarks and research competitor video performance.

Growth Optimization

Identify viral potential and growth velocity to optimize future videos based on proven patterns.

Frequently Asked Questions

What video statistics can I analyze with this tool?

This tool extracts comprehensive video-level metrics including: view count (total video views), like and dislike counts, comment count and engagement, video upload date and age, video duration and length, engagement rate (likes + comments / views × 100), like-to-dislike ratio, video title and description, tags and category, video thumbnail URLs, channel name and subscriber count, and estimated watch time. These metrics help evaluate individual video performance, compare against similar content, identify viral potential, and understand audience response to specific content.

How do I know if my YouTube video is performing well?

Evaluate video performance using multiple metrics: Views: Compare against your channel average and similar videos. Healthy growth: 30-50% of views in first 48 hours. Engagement rate: 4-8% is excellent (likes + comments / views × 100). Watch time: 50%+ average percentage viewed shows strong content. CTR (Click-Through Rate): 4-10% from impressions is healthy. Audience retention: Spike at start, minimal drop-off indicates engaging content. Growth velocity: Consistent daily views after first week = evergreen content. Compare performance against your previous videos and niche benchmarks, not just raw numbers.

What's a good like-to-view ratio for YouTube videos?

Average like-to-view ratios by content type: Educational/Tutorial: 4-8% like ratio is good, Entertainment/Gaming: 3-6% like ratio typical, Vlogs/Lifestyle: 3-5% like ratio expected, News/Commentary: 2-4% like ratio normal, Music videos: 5-10% like ratio common (music fans engage more). Factors affecting ratio: content quality and value, call-to-action effectiveness, audience loyalty and community strength, video thumbnail and title alignment. Focus less on absolute ratio and more on trends - declining ratio over time signals content issues, while increasing ratio shows audience resonance.

How do comments and engagement affect video rankings?

Comments significantly impact YouTube algorithm and rankings: Direct signals: High comment count indicates engagement, comments boost video session time (users read/reply), and rapid commenting in first 48 hours signals quality. Indirect benefits: Engaged viewers watch longer (retention), comment discussions increase return visits, and community building improves channel loyalty. Algorithm weights: Watch time (most important), click-through rate, engagement signals (likes, comments, shares), and user satisfaction signals. Encourage comments by: asking questions in videos, responding to early comments (boosts visibility), creating controversy or discussion topics (tastefully), and pinning engaging comment threads. Quality engagement beats quantity.

What do video view counts actually measure?

YouTube view counts track: Legitimate views: 30+ seconds watched (or video completion if shorter), real human viewers (not bots), and unique device views (with some repeat view limits). Not counted: Repeated views from same IP in short time, embedded views on suspicious sites, bot/automated traffic, and views from spam or clickfarms. View count updates: First few hours: may freeze temporarily for verification, 100-300 views: YouTube audits for legitimacy, 301+ views: updates become more frequent after audit. View velocity matters more than absolute count - rapid initial views signal quality to algorithm. Focus on watch time (total minutes watched) as it impacts recommendations more than raw view count.

How can I use competitor video statistics for my strategy?

Analyze competitor videos to inform your content strategy: Identify successful formats: video length, content structure, thumbnail styles, and title formulas. Discover trending topics: what content gets most views/engagement, seasonal patterns in niche, and gaps in competitor coverage. Benchmark performance: compare your metrics against similar channels, understand realistic expectations for your niche, and identify areas for improvement. Analyze engagement: read top comments to understand audience needs, see what questions viewers ask, and identify content opportunities. Timing insights: best upload times for your niche, optimal video frequency, and content format preferences. Use insights ethically - learn from success patterns but create original, valuable content. Don't copy; innovate based on proven patterns.