YouTube Channel Analytics
Analyze any YouTube channel's performance, growth trends, engagement metrics, and estimated revenue.
Last updated: January 2026 • Direct data from YouTube
Key Features: YouTube Channel Analytics
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Enter a YouTube channel or video URL to get detailed analytics including subscriber count, views, upload frequency, engagement metrics, and estimated revenue.
• youtube.com/@username
• youtube.com/channel/UC...
• youtube.com/c/channelname
Everything You Need to Analyze YouTube Channels
Get comprehensive insights into any YouTube channel's performance, growth, and engagement.
Complete Channel Overview
Get subscriber count, total views, video count, and channel health score at a glance.
Video Performance Analysis
See top performing videos, average views, and identify content that resonates with audience.
Upload Frequency Insights
Discover posting patterns, best days to upload, and content consistency metrics.
Engagement Metrics
Analyze like rates, comment rates, and overall audience engagement quality.
Growth Estimation
Estimate monthly views and potential revenue based on current performance.
Export Data
Download full analytics as JSON or CSV for further analysis or reporting.
Who Uses Channel Analytics?
Competitor Research
Analyze competitor channels to understand their content strategy, posting frequency, and what videos perform best.
Influencer Vetting
Evaluate potential brand partners by checking engagement rates, audience quality, and channel health.
Content Strategy
Learn from successful channels to optimize your own content strategy, posting schedule, and video formats.
Investment Research
Assess channel value and growth potential for sponsorship deals or partnership opportunities.
Frequently Asked Questions
What data can I get from YouTube Channel Analytics?
Our YouTube Channel Analytics tool provides comprehensive channel data including: subscriber count, total views, video count, upload frequency (videos per week/month), top performing videos by views, recent uploads, average views per video, engagement metrics (like rate, comment rate), channel health score (0-100), and estimated monthly revenue based on CPM ranges. All data is sourced directly from YouTube's public information.
Is this YouTube channel analyzer free?
Yes! YouTube Channel Analytics is 100% free with no signup required. Analyze unlimited channels, view detailed performance metrics, and export data to CSV or JSON format at no cost. We don't require any payment or account creation.
How accurate is the subscriber and view count?
The data is pulled directly from YouTube's public channel information and is as accurate as what YouTube displays. Note that subscriber counts over 1,000 may be rounded by YouTube (e.g., 1.5M instead of 1,523,456). View counts are displayed in real-time as reported by YouTube.
Can I analyze any YouTube channel?
You can analyze any public YouTube channel. Simply enter the channel URL in formats like youtube.com/@username, youtube.com/channel/UC..., or youtube.com/c/channelname. Private channels or channels that have hidden their subscriber count will have limited data available.
How is the channel health score calculated?
The health score (0-100) evaluates multiple factors: 1) Views-to-subscriber ratio (how many total views per subscriber), 2) Upload consistency (regular posting schedule), 3) Engagement rate (likes and comments relative to views), 4) Recent performance vs historical average. A score of 80+ indicates excellent channel health, 60-79 is good, 40-59 is average, and below 40 suggests room for improvement.
What is a good views-to-subscriber ratio?
The views-to-subscriber ratio shows total lifetime views divided by subscriber count. A ratio of 100+ is excellent (meaning 100+ views per subscriber on average), 50-100 is good, 20-50 is average, and below 20 may indicate inactive subscribers or declining channel. This metric helps assess how engaged a channel's audience really is.
What is a good like rate on YouTube?
Like rate is calculated as (total likes / total views) × 100%. A like rate of 5%+ is excellent and indicates highly engaging content. 3-5% is good and above average. 1-3% is normal for most channels. Below 1% may indicate the content isn't resonating well with viewers or there's a mismatch with audience expectations.
How is engagement rate calculated?
We calculate engagement based on like rate (likes/views) and comment rate (comments/views). The engagement score (0-100) weighs these factors, with like rate being primary since it's the most common form of engagement. A score of 80+ indicates top-tier engagement, 60-79 is above average, 50-59 is normal, and below 50 suggests the audience could be more engaged.
How is monthly revenue estimated?
Revenue estimation uses the formula: (Estimated Monthly Views × CPM) / 1000. We estimate monthly views based on recent video performance multiplied by upload frequency. We apply CPM (cost per mille/thousand views) ranges of $1-8, which covers most niches. Actual earnings vary significantly based on: niche (finance/tech pay more), audience location (US/UK/CA pay more), ad formats used, and YouTube Premium revenue.
How accurate are YouTube revenue estimates?
Revenue estimates are approximations based on industry-standard CPM ranges. Actual creator earnings can be 50-200% different due to factors we can't measure: audience demographics, ad blocker usage, video length (mid-roll ads), sponsorships, memberships, and Super Chats. Use our estimates as a rough guideline, not exact figures.
Can I compare multiple channels?
Currently you can analyze one channel at a time. To compare channels, analyze each separately and export the data to CSV or JSON. You can then compare the metrics side-by-side in a spreadsheet. Multi-channel comparison with visual charts is on our roadmap for future updates.
How do I export channel analytics data?
After analyzing a channel, click the "Export" button in the toolbar. Choose JSON format for developers/programmers or CSV format for Excel/Google Sheets. The export includes: channel info, all calculated metrics, upload frequency data, engagement scores, and the list of videos analyzed.
What is a good upload frequency for YouTube?
Optimal upload frequency depends on your niche and capacity. Generally: 3+ videos/week is excellent for growth-focused channels, 1-2 videos/week is sustainable and effective for most creators, 2-4 videos/month is acceptable but may slow growth, less than monthly uploads make it hard to build momentum. Consistency matters more than frequency - it's better to upload 1 video/week reliably than 5 one week and none the next.
What YouTube channel URL formats are supported?
We support all standard YouTube channel URL formats: 1) Handle format: youtube.com/@MrBeast, 2) Channel ID: youtube.com/channel/UCX6OQ3DkcsbYNE6H8uQQuVA, 3) Custom URL: youtube.com/c/MrBeast, 4) Legacy user URL: youtube.com/user/MrBeast. Just paste the URL and our tool will automatically detect the format.
Why does the video count differ from what I see on YouTube?
The video count we display comes from YouTube's public channel data. Differences may occur because: 1) We only analyze public videos (not unlisted/private), 2) YouTube may include Shorts in their count differently, 3) Recent uploads may have a slight delay in being counted, 4) Some channels hide certain videos from specific regions. The count should be within a few videos of the actual public content.
How can I use this for competitor research?
For competitor research: 1) Analyze competitor channels to see their upload frequency and identify their posting schedule, 2) Check their top performing videos to understand what content resonates, 3) Compare their engagement rates to yours, 4) Note their video lengths and posting patterns, 5) Export data to track changes over time. This helps you benchmark your channel and identify opportunities.
Is this tool good for vetting influencers?
Yes! When evaluating influencers for partnerships: 1) Check the health score - low scores may indicate fake/purchased subscribers, 2) Look at views-to-subscriber ratio - very low ratios suggest inactive audience, 3) Review engagement rates - genuine audiences engage more, 4) Check upload consistency - active channels are better partners, 5) Analyze recent video performance - declining views may be a red flag.
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