Like rate
Public likes divided by public views, multiplied by 100. This estimates visible likes as a percentage of views. It does not include viewers who enjoyed the video without pressing the like button.
Analyze any public YouTube video and explore its performance, engagement, publishing details, channel statistics and publicly available metadata.
Enter a public YouTube video URL to view detailed video performance insights and public statistics.
The Site SEO Analyzer YouTube Video Insights tool turns public YouTube video and channel data into an easy-to-read report. Enter a public video URL to explore its performance metrics, engagement indicators, publishing details, video metadata, tags and channel statistics in one place.
The tool is useful for creators, marketers, researchers and anyone who wants a quick overview of how a public YouTube video is performing without manually collecting individual statistics.
You can analyze a public YouTube video in three simple steps.
Paste the URL of the public YouTube video you want to examine into the field above.
Select Analyze Video. The tool retrieves supported public video and channel information from YouTube.
Review performance, engagement, video details, tags, publishing information and channel statistics.
The report organizes publicly available YouTube information into several useful categories.
Public YouTube statistics provide a useful snapshot of a video's visible performance. Views show how many times a video has been watched according to YouTube's public counter, while likes and comments provide additional indicators of audience interaction.
Performance should always be interpreted in context. A video's age, audience size, topic, traffic sources and distribution can strongly affect its public statistics. Comparing a newly published video directly with a video that has accumulated views for many years may therefore produce misleading conclusions.
Video performance analysis can help creators and marketers compare content, identify patterns and understand how audiences interact with published videos. Public metrics are particularly useful for competitive research because they can be examined without access to another channel's private analytics.
No single public metric tells the complete story. A high view count does not automatically mean strong engagement, and a smaller video can sometimes generate proportionally more interaction from its audience. Looking at several metrics together provides more context than relying on one number alone.
YouTube Video Insights organizes publicly available video and channel information into a structured research report. It helps you examine visible performance, publishing context, metadata and calculated ratios without claiming access to the video's private YouTube Studio account.
The report is most useful for discovering questions that deserve deeper investigation. A high public view count can indicate reach, but it does not explain where viewers came from, how many thumbnail impressions occurred or whether viewers watched the complete video. Likes and comments show visible interaction, but they represent only part of total audience behavior.
Use public metrics to compare similar videos, identify unusual patterns and create better research hypotheses. Use YouTube Studio to confirm click-through rate, audience retention, watch time, traffic sources and other private measurements for videos you own.
Calculated ratios make large public counters easier to compare, but they are not official YouTube ranking factors. Each ratio reflects the values available when the report is generated.
Public likes divided by public views, multiplied by 100. This estimates visible likes as a percentage of views. It does not include viewers who enjoyed the video without pressing the like button.
Public comments divided by public views, multiplied by 100. Comments can reflect questions, discussion or controversy, so a higher value is not automatically positive.
Public likes plus comments, divided by public views and multiplied by 100. This is a simplified research indicator, not YouTube's private engagement measurement.
Current public views divided by the video's approximate age in days. It is a lifetime average and does not mean the video currently receives that many daily views.
Video views divided by the channel's current visible subscriber total. The subscriber count may differ from the count that existed when the video was published.
A ratio may be unavailable when its required denominator is zero, hidden or missing. The tool should not invent a value when reliable public inputs are unavailable.
Comparing two videos only by total views can produce misleading conclusions. An older upload has had more time to accumulate views, while a Short, tutorial, product review and livestream may attract different viewing behavior. Compare videos that serve a similar audience and fulfill a similar purpose.
Compare videos answering similar questions or serving the same viewer need. Broadly related subjects may have very different levels of demand.
Compare long-form videos with similar long-form content and Shorts with Shorts. Format affects viewing behavior, distribution and typical interaction patterns.
Use publication dates and views-per-day estimates to avoid treating lifetime totals as if every video had the same opportunity to collect views.
One viral or unusually weak video can distort a conclusion. Review a group of comparable uploads and look for repeated patterns.
Public data can show that two measurements occur together, but it cannot prove that a title, tag, duration or other visible feature caused the result. Treat findings as ideas to test rather than guaranteed optimization rules.
YouTube statistics can change after a report is generated. Counts may also be rounded, hidden, delayed or adjusted. Record the analysis date when comparing results over time.
Start by identifying one pattern, not by changing everything at once. If several relevant videos receive stronger interaction, examine their topics, clarity and presentation. If an older video continues to earn views, consider whether the subject has durable search demand. If recent uploads show weak public response, review whether their titles and thumbnails accurately communicate the benefit of watching.
For your own channel, confirm every public observation with private analytics. A strong thumbnail click-through rate paired with weak retention suggests a different problem from low click-through rate with strong retention. Public tools cannot make that distinction without YouTube Studio data.
The report retrieves supported public information for the submitted YouTube video and its associated channel. It organizes the available counters, metadata and publishing details, then calculates ratios only when the required public values are present. Missing private measurements are not estimated or presented as facts.
Results represent a time-specific snapshot because public counters and metadata can change. When documenting research, record the video URL and analysis date. For comparisons, apply the same method to videos with similar topics, formats and publication periods.
Answers to common questions about YouTube video statistics and the information displayed by this tool.