Calculator

Engagement Rate Calculator

The Engagement Rate Calculator measures what share of viewers actually interacted with a video. It divides likes, comments and shares by total views. On YouTube, anything above 3% is strong, 1-3% is typical, and below 1% suggests the video reached people it did not resonate with.

Free, no signupNo email requiredSince 2018
Engagement rate2.74%Average

(likes + comments + shares) ÷ views × 100. Above 3% is considered strong for YouTube.

How it works

How to use the Engagement Rate Calculator

Three steps, no account and nothing to install.

1Open YouTube Studio AnalyticsFind the video you want to measure.
2Copy the view, like and comment countsThese are all on the video's Overview tab.
3Enter them aboveShares are optional. Leave at zero if you do not have the figure.
4Read the ratingThe result is scored against YouTube-specific benchmarks, not generic social media ones.

Why engagement rate matters more than raw views

A video with 10,000 views and 800 interactions signals far more to YouTube's recommendation system than one with 100,000 views and 300 interactions. Engagement tells the algorithm the audience found the content worth responding to, which influences whether it keeps recommending the video. It is also the number sponsors scrutinise most closely, because it is much harder to fake than a view count.

What counts as a good rate

YouTube engagement rates run lower than Instagram or TikTok because viewers arrive in a lean-back, watching mindset rather than a scrolling, tapping one. Above 6% is excellent, 3-6% is good, 1-3% is average and under 1% is weak. Smaller channels almost always post higher rates than large ones, a 5,000-subscriber channel with an invested audience routinely beats a million-subscriber channel on this metric.

FAQ

Frequently asked questions

See Pricing

Above 3% is good and above 6% is excellent. YouTube rates run lower than Instagram or TikTok because the viewing behavior is different.

(Likes + comments + shares) ÷ views × 100. Some tools use subscribers as the denominator instead, that produces a very different, usually higher, number.

This is normal. As reach widens beyond your core audience, a larger share of viewers are casual or algorithm-delivered and less likely to interact.

Yes, often more than subscriber count, because it is far harder to inflate artificially and better predicts whether an audience will act on a recommendation.

No. Dislike counts are hidden publicly and this formula measures positive interaction only.

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