> **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](https://authoredup.com/blog/linkedin-algorithm)) to ~5–15x depending on the source. *(third-party, disputed — see [comment vs like weight](/en/blog/poids-commentaire-vs-like-algorithme))*
- **Commenting early amplifies the effect**: a comment posted within the first half hour earns ~3.8x more impressions than after 24h. *([LinkHub timing study](/en/blog/quand-commenter-sur-linkedin))*

## 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](/en/blog).

## 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](/en/blog/algorithme-linkedin-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](https://authoredup.com/blog/linkedin-algorithm)).
- The [van der Blom report (1.8M posts)](https://www.linkedin.com/posts/richardvanderblom_chapter-1-algorithm-insights-report-2025-activity-7322514599126130688-Q895) confirms the algorithm prioritizes meaningful comments over vanity reactions.

The **size** of the multiplier, however, is debated: from **~2x** with quality scoring ([AuthoredUp](https://authoredup.com/blog/linkedin-algorithm)) 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](/en/blog/quand-commenter-sur-linkedin) 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](/en/blog/exemples-commentaires-linkedin))*.
- **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](/en/features/feeds-personnalises) — 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](/en/features/ia-commentaires-personnalises) (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](/en/features/feeds-personnalises) and spot the most rewarding ones via our [AI profile recommendation](/en/features/ia-recommandation-profils).
- **WHEN: comment early.** Within the first 30 minutes (~3.8x more impressions than after 24h). See the [timing study](/en/blog/quand-commenter-sur-linkedin).
- **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](/en/features/ia-commentaires-personnalises) 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](/en/blog/impressions-par-commentaire-linkedin).

**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](/en/features/ia-recommandation-profils).

## 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)](https://authoredup.com/blog/linkedin-algorithm) · [van der Blom — Algorithm InSights Report 2025](https://www.linkedin.com/posts/richardvanderblom_chapter-1-algorithm-insights-report-2025-activity-7322514599126130688-Q895)
- Sister study: [When to comment on LinkedIn?](/en/blog/quand-commenter-sur-linkedin)