YouTube Video Analytics: Analyze Any Video's Performance Metrics

Creators obsess over their own analytics—but YouTube Studio only shows your own channel. You can't see competitor performance. You can't benchmark against industry leaders. You can't analyze why certain videos go viral.

Until now.

The YouTube Video Analytics Tool by YTScribe analyzes any public YouTube video—yours or anyone else's—and delivers the metrics that matter: views, engagement, growth velocity, and performance benchmarks.

What Analytics You Get

Paste any YouTube URL and instantly see:

📊 Core Performance Metrics

• View Count — Total lifetime views
• Like Count — Positive engagement
• Comment Count — Discussion engagement
• Engagement Rate — (Likes + Comments) ÷ Views × 100

📈 Growth Analysis

• Views Per Day — Average daily performance
• Days Since Published — Content age
• Growth Trajectory — Early vs. late performance patterns

🎬 Video Details

• Duration — Content length
• Publish Date — When it went live
• Channel Info — Creator context

💰 Estimated Performance (Pro)

• CPM Range — Estimated earnings per 1,000 views
• Revenue Estimate — Potential earnings range
• Category Benchmarks — How it compares to similar content

Why Video Analytics Matter

🔍 Competitive Intelligence

You can't beat what you can't measure. Analyzing competitor videos reveals:

| What You Learn | How It Helps | |---------------|--------------| | Which topics get most views | Content planning | | Optimal video lengths | Format decisions | | Engagement patterns | Thumbnail/title strategies | | Posting frequency | Publishing schedule | | Growth velocity | Virality indicators |

📉 Before Collaborations

Brands and creators need to verify performance before partnerships:

• Are view counts legitimate?
• Is engagement authentic?
• How does recent performance compare to averages?

📚 Research & Analysis

Academics, journalists, and analysts studying YouTube need reliable data:

• Track viral video growth
• Document platform trends
• Compare creator performance

Understanding Engagement Rate

Engagement rate is the single most useful metric for comparing videos:

📐 The Formula

Engagement Rate = (Likes + Comments) ÷ Views × 100

📊 Benchmark Ranges

| Engagement Rate | Assessment | What It Signals | |----------------|------------|-----------------| | Below 1% | Low | Passive audience, low interest | | 1-3% | Average | Standard performance | | 3-6% | Good | Engaged, interested viewers | | 6-10% | Excellent | Strong community, shareable content | | Above 10% | Exceptional | Viral potential, superfans |

⚠️ Context Matters

High views + low engagement can signal:

• Clickbait (people clicked but didn't enjoy)
• Older content (likes accumulate slower over time)
• Controversial content (views but divided opinions)

Low views + high engagement can signal:

• Niche but passionate audience
• New but promising content
• Community-driven growth

Views Per Day: The Hidden Metric

Raw view counts don't tell the full story. A video with 1 million views published 5 years ago is very different from 1 million views in 1 month.

📈 Views Per Day Calculation

Views Per Day = Total Views ÷ Days Since Published

🎯 What It Reveals

| Views Per Day | For a Month-Old Video | For a Year-Old Video | |--------------|----------------------|---------------------| | Under 100 | Struggling | Evergreen but slow | | 100-1,000 | Growing | Consistent performer | | 1,000-10,000 | Successful | Strong evergreen | | 10,000+ | Viral potential | Rare sustained hit |

📉 Decay Patterns

Most videos follow predictable patterns:

• 48 hours: Peak traffic from subscribers
• Week 1: Algorithm testing and promotion
• Month 1: Settling into long-term performance
• Year 1+: Evergreen search traffic only

Analyzing views per day helps identify which phase a video is in.

Competitive Analysis Workflows

🎯 Analyzing a Competitor Channel

1. Select their top 10 videos
2. Analyze each with YTScribe
3. Record: Views, Engagement Rate, Duration, Topic
4. Identify patterns in their successes

📊 Topic Research

1. Search YouTube for your target topic
2. Analyze top 5-10 ranking videos
3. Compare engagement rates and views
4. Identify gaps and opportunities

📈 Trend Tracking

1. Find videos on an emerging topic
2. Track views per day over time
3. Identify when interest peaks
4. Time your content accordingly

Combining Analytics with Content Analysis

Numbers tell you what's working. Content tells you why.

Views + Transcripts

High-performing videos often share content patterns. Use our transcript generator to:

• Analyze language and tone
• Identify common hooks
• Study structure and pacing

Engagement + Titles

Strong engagement often correlates with great titles. Use our title analyzer to:

• Score competitor titles
• Identify power words they use
• Apply learnings to your content

Views + Chapters

Videos with chapters tend to have better retention. Use our timestamp generator to:

• See how top videos structure content
• Apply chapter strategies to yours

Industry Benchmarks by Category

🎮 Gaming

| Metric | Average | Top 10% | |--------|---------|---------| | Views per video | 10K-50K | 500K+ | | Engagement rate | 3-5% | 8%+ | | Video length | 15-25 min | Varies |

📚 Education

| Metric | Average | Top 10% | |--------|---------|---------| | Views per video | 5K-20K | 100K+ | | Engagement rate | 2-4% | 6%+ | | Video length | 10-20 min | 8-15 min |

🛍️ Product Reviews

| Metric | Average | Top 10% | |--------|---------|---------| | Views per video | 5K-30K | 200K+ | | Engagement rate | 2-4% | 5%+ | | Video length | 10-18 min | 12-15 min |

🎙️ Podcasts

| Metric | Average | Top 10% | |--------|---------|---------| | Views per video | 2K-15K | 100K+ | | Engagement rate | 4-7% | 10%+ | | Video length | 45-90 min | 60-75 min |

Red Flags in Video Analytics

⚠️ Suspicious Patterns

• High views, zero engagement — Possible bot traffic
• Views spike then flatline — Artificial promotion
• Comments disabled with low likes — Hiding negative sentiment
• Inconsistent performance — Buying views on some videos

🔍 Verifying Authenticity

Use analytics to spot inflated numbers before:

• Sponsorship deals
• Collaboration proposals
• Competitor benchmarking

Frequently Asked Questions

Can I analyze any YouTube video? Any public video can be analyzed. Private or unlisted videos aren't accessible.

Where does the data come from? All metrics come from YouTube's public API—the same data YouTube shows publicly.

How fresh is the data? Real-time. We fetch current statistics directly from YouTube when you analyze.

Can I track a video over time? Pro users can save videos and track performance changes over time with alerts.

Is there data YouTube doesn't share? YouTube hides some metrics from public view:

• Exact revenue
• Audience demographics
• Traffic sources
• Retention graphs

We can only show what's publicly available.

Can I analyze my own videos this way? Yes, though YouTube Studio provides more detailed data for your own channel. Our tool is most valuable for competitor analysis.

Beyond Analytics: Complete Video Intelligence

Analytics show performance. Other tools show why:

• Title Analyzer — Score and optimize titles
• Transcript Generator — Get full video text
• Video Summarizer — Extract key content insights
• Word Counter — Analyze content density
• Chrome Extension — Analyze directly on YouTube

Start Analyzing Videos Now

Guessing why some videos succeed and others don't is a waste of time. Data tells you exactly what's working.

YTScribe's video analytics tool gives you performance metrics on any public YouTube video—instantly, for free, no channel access required.

Ready? Paste a YouTube URL above and get your analytics in seconds.

Want deeper insights on the content itself? Combine analytics with our transcript search to understand both what's working and why.