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Reading your engagement rate

What your likes, comments, and shares say about a video — and what they don't.

This page is AlgoLens's own analysis, not an official statement from YouTube. It's meant to help you read your own channel's numbers.
TL;DR — Engagement rate is the share of views that turned into likes, comments, or shares — it tells you how viewers reacted, not how many watched. A widely-viewed video can have low engagement, and a narrowly-viewed one can have high engagement, so read it alongside views and retention rather than on its own.

Definition

On AlgoLens, engagement rate is the share of views that led to interactions such as likes, comments, and shares. It's a way to see how much viewers responded to a video — a different question from how many of them watched it.

It's not the same as audience retention. Retention tracks whether people kept watching a video — engagement rate tracks whether they took an action afterward, like leaving a comment or a like. A video can do well on one and not the other.

One signal among several

Engagement rate is one of the audience-response signals AlgoLens looks at, alongside retention and card click-through rate. On its own, it's a read on how viewers reacted — not a full verdict on a video's performance.

What to do

1
Read engagement rate alongside views and retention, not alone — a video can be widely viewed with low engagement, or narrowly viewed with high engagement, and those mean different things.
2
Compare engagement rate across your own videos to see which topics or formats tend to get more reaction.
3
Don't chase engagement rate as an isolated number — it's one signal among several about how a video landed, not a full verdict on quality.

Where AlgoLens helps

AlgoLens's Video Analysis and Video List tabs show engagement rate per video next to views and retention, and it's one of the audience-response factors folded into the AlgoLens Score, so you can see it in context instead of as an isolated percentage.

Related terms

FAQ

More on this topic

Reading your card click-through rate → What goes into your AlgoLens Score →