> **Methodology in brief.** First-party LinkHub data: **user-day** analysis (one user × one day), segmented by the **number of comments posted that day**. For each bucket, we compute the **average impressions per comment** and the **total reach for the day**. The impressions shown are a **mean of per-user-day means**: each of a user's days counts equally, regardless of its volume. This baseline (~268 on the low bucket) **differs** from the global figure of [179 impressions/comment](/en/blog/impressions-par-commentaire-linkedin), which aggregates all comments at once — two legitimate ways to measure, not to be confused. Complemented by public industry studies, cited and dated.

## Key takeaways

- **Commenting a lot pays off.** **Total reach climbs without interruption** with volume: from **581 impressions/day** (1-7 comments) to **11,737/day** (100+). It never declines. *(LinkHub, user-day base)*
- **The reach/time sweet spot is 20-50 comments/day**: strong total reach (~4,587/day), still-solid per-comment value (153 impressions), and a reasonable time cost — **~15-25 min** with LinkHub.
- **What declines is the efficiency PER comment** (268 → 99, i.e. **~-63%**), not total reach. That is the real "diminishing returns."
- **The barrier to volume is time.** With LinkHub, a comment takes **~29 s** measured (n = 44,523) → 30 comments ≈ **~15 min**. That is what makes 20-50/day reachable.
- **Platform limit**: LinkedIn throttles high-volume commenting — the figure commonly reported is around **80-100/day** for an established account (lower for a new account). 100+/day is rare in our data.

## 1. How many comments per day: what the data says

On the LinkHub database, we grouped each of a user's days by the **number of comments** posted that day, then measured two things: the **average impressions per comment** and the **total reach** generated over the day.

| Comments/day | Avg. impressions **per comment** | **Total** reach/day | User-days |
|---|---|---|---|
| 1-7 | 268 | 581 | 58,859 |
| 8-19 | 215 | 2,595 | 10,848 |
| **20-49** | **153** | **4,587** | 6,266 |
| 50-99 | 145 | 9,901 | 2,295 |
| 100+ | 99 | 11,737 | 343 (rare) |

**Reading — two truths, not one.** Read the table both ways:

- **Total reach column (→):** it **rises and never falls back**. Going from the 1-7 bucket to 100+ comments/day takes daily reach from **581 to 11,737 impressions** (×20). In raw volume, commenting more = being seen more, full stop. Total reach **does not decline**.
- **Impressions per comment column (↘):** it **slips steadily**, from **268** (1-7/day) to **99** beyond 100, i.e. **~-63%**. *That* — and only that — is the "diminishing returns": doing a lot means less time per comment and lower-priority target posts.

Both readings are true at the same time: more volume = more total reach, but each comment taken in isolation earns a bit less. To track your own per-comment and per-day numbers, browse our other [LinkedIn data studies](/en/blog).

## 2. Why 20-50 comments/day is the sweet spot

If total reach never declines, why not aim for 100/day? Because the right trade-off is not "maximum reach," it is **the best reach/time ratio**. And that lives in the **20-50/day** bucket.

- **Strong total reach**: ~**4,587 impressions/day**, about 8× the 1-7 bucket. You are broadly visible.
- **Still-good per-comment value**: **153 impressions** per comment — well above the 99 floor of very high volumes.
- **Reasonable time**: at ~29 s/comment measured with LinkHub, **20-50 comments ≈ 10-25 min**. Sustainable daily.
- **Below the platform limit**: you stay well clear of LinkedIn's safety threshold (see §4).

Beyond that — **50-99/day** — total reach climbs further (9,901 impressions), but it costs **~2× more time** and per-comment value keeps dropping (145). That bucket is for those who want to **push** visibility and accept the time cost. As for **100+/day**, it is rare in our data (just 343 user-days) and inefficient (99/comment) — beyond reasonable for most.

## 3. The barrier to volume is time — not the algorithm

The decline from **268 → 99** impressions per comment is not an algorithm penalty: it is mechanical (less time per comment, lukewarm targets, diluted timing). But the real reason most people cap out at 5-10 comments/day is not returns — **it is time**.

Commenting manually and thoughtfully easily takes 2 to 3 minutes per comment: find a good post, read it, write something relevant. At that pace, 30 comments = **over an hour**. Nobody sustains that daily.

That is exactly what LinkHub changes. On our database, a comment takes **~29 seconds** measured (n = 44,523): watch the right accounts via feeds, see their posts as soon as they go live, and produce a relevant comment ready to approve. At that cost, **30 comments ≈ 15 min** and **50 comments ≈ 25 min**. The 20-50/day sweet spot goes from "impossible to sustain" to "morning routine" — we detail this [15-30 min/day commenting routine](/en/blog/routine-commentaires-linkedin).

Concretely, two building blocks make the difference:

- **[Personalized feeds](/en/features/feeds-personnalises)**: gather prospects and key creators to see their posts as soon as they go live, instead of scrolling at random.
- **[Personalized AI comments](/en/features/ia-commentaires-personnalises)**: produce a relevant comment in seconds — always reviewed and approved by you.

## 4. The LinkedIn limit: how many comments before risk?

LinkedIn does **not** publish an official comments/day limit. The figures that circulate are **safety thresholds commonly reported** by practitioners and tools, to be confirmed since they vary by account age, engagement history, and SSI.

- For an **established account**, the range **commonly reported around 80-100 comments/day** is cited as the safe zone, with hourly limits in the order of 10-20/hour ([Commentify, 2025](https://blog.commentify.co/linkedin-comment-frequency-limit/); [PhantomBuster, 2026](https://phantombuster.com/blog/social-selling/linkedin-limits-2025-safe-automation-strategies/)).
- For a **new account**, reported thresholds are lower — often **30-50/day** in the first months.

Our data corroborates a practical ceiling: the **100+/day bucket is very rare** (just 343 user-days), which fits a safety threshold around 100. **Bottom line**: aiming for **20-50/day** puts you comfortably below even a cautious limit — you capture most of the reach without ever brushing the risk. If you lean on AI to sustain the volume, see how to [comment with AI without getting banned](/en/blog/commenter-linkedin-ia-sans-ban). *(third-party thresholds, to be confirmed, not officially published by LinkedIn)*

## 5. Volume isn't enough: targeting matters just as much

Commenting a lot pays off — but commenting a lot **on the right posts** pays off far more. The most profitable lever is not just "more comments," it is **the right comments, on the [right posts](/en/blog/trouver-bons-posts-commenter-linkedin), at the right time**:

- **Who**: commenting on profiles whose audience overlaps your target multiplies reach — see the study [who to comment on on LinkedIn](/en/blog/sur-qui-commenter-linkedin).
- **When**: commenting within a post's first half hour beats a late comment by a wide margin — see [when to comment](/en/blog/quand-commenter-sur-linkedin).

The right goal: scale volume up to the 20-50/day sweet spot **while keeping a good ratio per comment** — which only targeting and timing make possible, and which LinkHub makes time-sustainable.

## FAQ

**How many comments per day should you make on LinkedIn?**
The reach/time sweet spot is **20 to 50 comments/day**: strong total reach (~4,587 impressions/day in our data), still-solid per-comment value (153), and a reasonable time cost (~15-25 min with LinkHub). Commenting a lot pays off — total reach climbs with volume.

**Does commenting more really raise reach?**
Yes, and it never declines. **Total daily reach** rises continuously: from 581 (1-7 comments) to 11,737 (100+). Only the **per-comment efficiency** drops (268 → 99, ~-63%).

**Why do my comments earn a bit less when I make a lot of them?**
Because at volume you spend less time per comment, target lower-priority posts, and sometimes comment too late. That is the diminishing return *per comment* — but *total* reach keeps rising.

**Is there a comment limit per day on LinkedIn?**
LinkedIn does not publish an official limit. The commonly reported safety threshold is around **80-100/day** for an established account (lower for a new account), to be confirmed. Aiming for 20-50/day keeps you comfortably below it. See our [AI profile recommendation](/en/features/ia-recommandation-profils).

## Sources & methodology

- **LinkHub dataset** — **user-day** analysis, segmented by comments/day. Impressions = **mean of per-user-day means** (baseline ~268 on the low bucket, distinct from the global 179/comment figure that aggregates all comments). Measured time per comment: ~29 s (n = 44,523).
- [Commentify — LinkedIn's Comment Frequency Limit Explained (2025)](https://blog.commentify.co/linkedin-comment-frequency-limit/) · [PhantomBuster — LinkedIn limits & safe automation (2026)](https://phantombuster.com/blog/social-selling/linkedin-limits-2025-safe-automation-strategies/)