YouTube Engagement Rate Analyzer

Measure how engaged a channel's audience really is. This tool calculates the likes-and-comments-to-views ratio across recent videos and ranks them, so you can see what's resonating.

Analyse a channel

Enter a @handle, channel URL, or channel ID. Works with any public channel.

🔒 Only public YouTube data is used. Inputs are sent to YouTube's Data API to fetch results.

Last updated: September 2026

How it works

Engagement rate is a better measure of audience connection than raw view counts. This tool pulls a channel's recent videos, and for each one calculates engagement rate as (likes + comments) ÷ views × 100. It then averages that across the sample and ranks every video from most to least engaging — so you can see which content sparks the strongest response, not just which got the most views.

How to use this tool

  1. Enter a channel's @handle, URL, or channel ID.
  2. Hit Analyse Engagement.
  3. See the channel's average engagement rate plus average likes and comments per video.
  4. Scroll the ranked list to see which videos over- and under-performed on engagement.

Frequently asked questions

    How is engagement rate calculated?

    As (likes + comments) divided by views, expressed as a percentage. A video with 1,000 views, 80 likes and 20 comments has a 10% engagement rate. It reflects how many viewers took an action, not just watched.

    What's a good engagement rate on YouTube?

    It varies by niche and channel size, but broadly: under 1.5% is low, 1.5–4% is solid, and above 4% is strong. Smaller channels often see higher rates because their audiences are more dedicated.

    Why only recent videos?

    Analysing the most recent uploads reflects a channel's current performance rather than being skewed by one old viral hit. It's the fairest read on how the audience is engaging right now.

    Can likes being hidden affect the result?

    Yes — if a creator hides likes on a video, that video's engagement rate will look lower than reality. Comments-disabled videos are similarly affected. Most public videos report both, so the averages stay meaningful.