> **Methodology in brief.** First-party LinkHub data: **657,722 real LinkedIn comments** and their impressions, segmented by length (character count). We compare the average **and** the median per bucket to avoid the magnifying effect of the best-performing long comments. Complemented by public industry studies, cited and dated. Third-party figures (algorithmic weight) remain estimates — flagged as such.

## Key takeaways

- **The longer the comment, the higher the average impressions**: **131** impressions for under 50 characters, **261** for 250+ characters — about **2x more**. *(LinkHub, n = 657,722)*
- Longer comments also earn **more likes**: **0.76** likes on average for under 50 chars, **1.17** for 250+ chars.
- **Honest caveat**: the **median** stays nearly flat (~34–38 impressions) across all buckets. The average is pulled up by a minority of high-performing long comments → "longer helps" is not a magic recipe.
- **Relevance beats length.** A long but empty comment does not perform; a long *and* relevant one does.
- **Practical advice**: aim for **150+ characters (~25–40 words)**. That is the threshold where the average clearly jumps (205, then 261 impressions). The current average comment length is **148 characters**.

## 1. Comment length vs impressions (LinkHub data)

Across **657,722 real comments**, we measured the impressions and likes generated by comment length (in characters). The pattern at the average is clear: **longer comments are, on average, seen more.**

| Length (characters) | Avg. impressions | Median impressions | Avg. likes |
|---|---|---|---|
| **< 50** | **131** | ~34 | 0.76 |
| 50–99 | 148 | ~35 | 0.85 |
| 100–149 | 164 | ~36 | 0.86 |
| 150–249 | 205 | ~37 | 0.93 |
| **250+** | **261** | ~38 | 1.17 |

*Average comment length = **148 characters**. Per-bucket medians ≈ 34–38 (stable).*

**Reading.** A comment of **250+ characters** generates on average **261 impressions** — about **2x more** than a comment under 50 characters (131), and **more likes** (1.17 vs 0.76). The increase is steady at each length tier.

**But — the caveat that matters.** The **median** stays nearly flat (~34 to ~38) from one bucket to the next. In other words: for the *typical* comment, adding length changes almost nothing. It is a **minority of high-performing long comments** that pulls the average up. The honest conclusion: **length helps, but it is not magic** — relevance is what turns a long comment into a seen comment. To track your own impressions per comment, browse our other [LinkedIn data studies](/en/blog).

## 2. Why a longer comment is (often) seen more

- **More substance = more signals.** A developed comment adds an angle, triggers replies, and increases reading time — all engagement signals the algorithm rewards.
- **Generic comments are penalized.** "Great post!" is now treated as engagement noise and may be devalued — instead, take inspiration from our [LinkedIn comment examples](/en/blog/exemples-commentaires-linkedin). A comment of **15+ words** reportedly carries **~2.5x more** algorithmic weight than a short one ([AuthoredUp, 2025](https://authoredup.com/blog/linkedin-algorithm)).
- **Conversation > like.** A value-adding comment gets replies; when a thread forms, LinkedIn distributes beyond the author's audience *(see [the weight of a comment vs a like in the algorithm](/en/blog/poids-commentaire-vs-like-algorithme))*. *(third-party estimate)*

## 3. What is the ideal LinkedIn comment length?

Our data points to a clear threshold: **150+ characters**, roughly **25–40 words**. That is where average impressions jump (205, then 261). Below ~150 characters, the gap stays modest (131 → 148 → 164).

Industry sources converge on a compatible range:

- **15+ words** to clear the "value comment" threshold ([AuthoredUp, 2025](https://authoredup.com/blog/linkedin-algorithm)).
- **Ideally 40 to 120 words** (2 to 5 sentences) to maximize author replies, without sliding into the 200+ word essay ([LinkedInRank](https://linkedinrank.com/blogs/linkedin-comment-length)).
- Engagement quality beats volume in the reference report ([van der Blom, 1.8M posts](https://www.linkedin.com/posts/richardvanderblom_chapter-1-algorithm-insights-report-2025-activity-7322514599126130688-Q895)).

**Bottom line**: aim for **150+ characters / 25–40 words**, but do not pad artificially. A long *and* relevant comment — not a long comment *for the sake of length*.

## 4. Length does not replace relevance (or timing)

- **Relevance > length.** The flat median is the reminder: stretching an empty comment will not make it take off. Add an angle, a data point, a question — the full method is in [how to write a good LinkedIn comment](/en/blog/ecrire-bon-commentaire-linkedin).
- **Timing is still decisive.** Commenting early (within the first 30 minutes) remains the #1 lever on impressions — see our study on [when to comment on LinkedIn](/en/blog/quand-commenter-sur-linkedin).
- **Substance + timing, without spending all day on it**: that is what LinkHub automates — spot the right posts as soon as they go out and write a relevant (and long enough) comment with [personalized AI comments](/en/features/ia-commentaires-personnalises) (always approved by you).

## FAQ

**Does LinkedIn comment length affect impressions?**
Yes, on average: our data (657,722 comments) shows 131 average impressions for a comment under 50 characters, versus 261 for 250+ characters (~2x). But the median stays stable (~34–38), so the effect is driven by a minority of high-performing long comments.

**What is the ideal LinkedIn comment length?**
Aim for **150+ characters (~25–40 words)**. That is the threshold where average impressions jump in our data. Industry sources recommend at least 15 words, ideally 40–120 words.

**Is a long comment automatically seen more?**
No. Length helps the average, but **relevance comes first**. The flat median shows that a long but empty comment does not perform. Long *and* relevant: yes.

**What matters more, length or timing?**
Timing. Commenting within the first 30 minutes after publication is still the strongest lever on impressions. See our [AI profile recommendation](/en/features/ia-recommandation-profils).

## Sources & methodology

- **LinkHub dataset** — `analyze_comment_length` function, **657,722 comments** segmented by length (characters). We report both the average **and** the median to flag the skew in the distribution.
- [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) · [LinkedInRank — Ideal Comment Length](https://linkedinrank.com/blogs/linkedin-comment-length)