Data study · LinkHub

How many comments per day on LinkedIn? The sweet spot is 20-50/day (2026 study)

Commenting a lot pays off on LinkedIn: measured on the LinkHub database, total reach climbs from 581 to 11,737 impressions/day with volume. The reach/time sweet spot is 20-50 comments/day (~15-25 min with LinkHub). Data and limits.

By Yannis Haismann, Founder of LinkHub· Published 7/4/2026

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, 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.
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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/dayAvg. impressions per commentTotal reach/dayUser-days
1-726858158,859
8-192152,59510,848
20-491534,5876,266
50-991459,9012,295
100+9911,737343 (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.

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.

Concretely, two building blocks make the difference:

  • Personalized feeds: gather prospects and key creators to see their posts as soon as they go live, instead of scrolling at random.
  • Personalized AI comments: 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; PhantomBuster, 2026).
  • 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. (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, at the right time:

  • Who: commenting on profiles whose audience overlaps your target multiplies reach — see the study who to comment on on LinkedIn.
  • When: commenting within a post's first half hour beats a late comment by a wide margin — see when to comment.

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.

Sources & methodology

About the author

Yannis Haismann, fondateur de LinkHub
Yannis Haismann

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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