Methodology in brief. First-party LinkHub data: 657,722 real LinkedIn comments whose impressions were measured. We report, per comment, the average and median impressions, and the average number of likes and replies. Complemented by public industry studies, cited and dated. Third-party figures (comment vs like weight in the algorithm) remain estimates — flagged as such.
Key takeaways
- A comment generates 179 impressions on average (35 median), but earns only 0.90 like on average. (LinkHub, n = 657,722)
- In other words: ~199 impressions per like. The value of a comment — its real reach — is massively underestimated by the like counter.
- A comment earns almost as many replies (0.71) as likes (0.90) → a strong conversational effect, where a like stays a dead signal.
- In the algorithm, comments weigh more than likes — estimates from ~2x (AuthoredUp) to ~5–15x depending on the source. (third-party, disputed — see comment vs like weight)
- Commenting early amplifies the effect: a comment posted within the first half hour earns ~3.8x more impressions than after 24h. (LinkHub timing study)
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1. What a comment really earns (LinkHub data)
Across 657,722 real comments whose impressions we measured, here is what a comment generates on average:
| Metric per comment | Average | Median |
|---|---|---|
| Impressions | 179 | 35 |
| Likes received | 0.90 | — |
| Replies received | 0.71 | — |
Reading. The average comment is seen 179 times but triggers only 0.90 like. The ratio is striking: about 199 impressions for a single like. The like "sees" only a tiny fraction of a comment's real reach. The median impressions (35) are well below the average — the sign of a long-tail distribution: a few comments explode in visibility and pull the average up, but even the median comment far exceeds its like count.
The conclusion is direct: if you judge your comments by likes, you are measuring the wrong thing. The right unit is the impression — reach. To track your own impressions per comment, browse our other LinkedIn data studies.
2. Why likes underestimate the value of a comment
- The like is a passive, rare signal. On a comment, liking requires a reader to come back to the thread, point at your specific reply and click — a much higher action cost than on a post. Result: 0.90 like on average, almost nothing against 179 impressions.
- The impression, on the other hand, is real. On average 179 people saw your name, your angle, your expertise — whether they liked it or not. It is this repeated exposure to the right audience that builds awareness and drives profile visits, not the like counter.
- A reply often beats a like. With 0.71 reply per comment, almost on par with likes (0.90), a comment triggers conversation. And a reply revives the thread, extends reach and signals active engagement — something a like never does.
3. Do comments count more than likes in the algorithm?
Yes — this is one of the few points of consensus on the LinkedIn algorithm: the comment is the strongest engagement signal, ahead of the like (reaction), which remains the weakest. (for the full mechanism, see how the LinkedIn algorithm works in 2026)
- A comment signals active engagement: the reader had something to say. A like is passive.
- Reply threads (back-and-forth conversation) trigger far more aggressive reach expansion than reactions (AuthoredUp, 2025).
- The van der Blom report (1.8M posts) confirms the algorithm prioritizes meaningful comments over vanity reactions.
The size of the multiplier, however, is debated: from ~2x with quality scoring (AuthoredUp) to industry estimates of ~5–15x. (third-party, disputed) The exact figure is unverifiable from the outside, but the direction is consistent: a relevant comment weighs clearly more than a like. Our first-party data backs it from another angle — the raw reach of a comment exceeds, by two orders of magnitude, what likes suggest.
4. How to maximize the value of a comment
- Comment early. Our timing study shows that a comment posted within the first 30 minutes earns ~3.8x more impressions than after 24h. The golden window directly amplifies the baseline 179 impressions.
- Aim for conversation, not the like. A comment that adds an angle gets replies (0.71 on average) → a conversational effect that extends reach. Favor 15–40 words that add something, not a "Great post!" that triggers nothing (see comment examples).
- Be there when the right posts go out. To comment early and often on the right targets, gather your prospects and key creators in personalized feeds — see their posts as soon as they go live, without scrolling the native feed.
- Write the right comment fast. This is exactly what LinkHub automates: spot the right posts in the right slot and write personalized AI comments (always approved by you).
5. Who to comment on, when, what to say: the full equation
Timing isn't everything. A comment's reach rests on three levers — and it's their combination that pays off:
- WHO: comment on the right creators. A comment under a high-audience post exposes you to a far larger pool of impressions than an obscure one. Pick creators in your niche who post regularly and reach your target — that's where your 179 average impressions can climb. LinkHub helps you gather them in personalized feeds and spot the most rewarding ones via our AI profile recommendation.
- WHEN: comment early. Within the first 30 minutes (~3.8x more impressions than after 24h). See the timing study.
- WHAT: say something that adds value. 15–40 words with an angle, not a "Great post!". That's what triggers replies and conversation — exactly what LinkHub's personalized AI comments produce, trained on your style and always approved by you.
Right creator + right slot + right comment = a comment's maximum reach.
FAQ
How many impressions does a comment earn on LinkedIn? On average 179 impressions per comment (35 median), according to our first-party data on 657,722 real comments. For the full distribution, see impressions per comment.
Why do my comments get few likes but are still useful? Because the like underestimates reach: the average comment earns only 0.90 like for ~179 impressions, or ~199 impressions per like. The real value is exposure — not the like counter.
Do comments count more than likes in the algorithm? Yes. The comment is the strongest engagement signal; the like (reaction) is the weakest. The exact multiplier is disputed (~2x to ~5–15x depending on the source).
Does a comment earn more replies than likes? Almost on par: 0.71 reply versus 0.90 like per comment. The reply is worth more — it revives the thread and extends reach.
How do I find the right posts to comment on at the right time? Through feeds targeted on your prospects and creators in your niche. See also our AI profile recommendation.
Sources & methodology
- LinkHub dataset — 657,722 real comments with measured impressions: average 179 / median 35 impressions, 0.90 like and 0.71 reply per comment.
- AuthoredUp — How the LinkedIn Algorithm Works (2025) · van der Blom — Algorithm InSights Report 2025
- Sister study: When to comment on LinkedIn?
About the author
Founder of LinkHub
Yannis writes about social selling, LinkedIn comments and visibility. He builds LinkHub, the extension that helps you attract qualified clients through your comments.
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