LigoSocial Research/Report

How long should a LinkedIn post be?

Longer wins. Posts over 2,400 characters got +24% more engagement than the same author's 600 to 900 character posts.

Published By LigoSocial Research

Sample134,522 posts from 1,499 real LinkedIn profiles, January 2023 to September 2026

2,400+ characters
+24%
2,400+ characters
vs 600 to 900
1,300 to 1,800 characters
+8%
1,300 to 1,800 characters
Under 150 characters
-31%
Under 150 characters
Comments on 2,400+ character posts
+19%
Comments on 2,400+ character posts

Key findings

  • 2,400+ characters +24%, 1,300 to 1,800 +8%, under 150 -31% vs 600 to 900, same author.
  • The premium holds in every follower band and for comments.
  • Choppy one-line formatting and first-line length barely matter.
Contents

The short answer

Longer posts get more engagement, all the way up to LinkedIn's 3,000 character limit. Compared with the same author's 600 to 900 character posts, posts over 2,400 characters got +24%, and posts under 150 characters -31%. There is no sweet spot in the middle where the curve turns down.

Bar chart of engagement by post length: Under 150 chars -31%, 150 to 300 chars -18%, 300 to 600 chars -4%, 600 to 900 chars baseline, 900 to 1,300 chars +3%, 1,300 to 1,800 chars +8%, 1,800 to 2,400 chars +9%, 2,400+ chars +24%
Figure 1. Engagement by post length. Download PNG

By follower band

Table 1. Engagement vs the same author's 600 to 900 character posts
FollowersUnder 150300 to 600600 to 900900 to 13001300 to 18001800 to 24002400+
All authors-31%-4%baseline+3%+8%+9%+24%
Under 1,000-26%-6%baseline+4%+15%+11%+18%
1,000 to 3,000-34%-4%baseline0%0%-2%+18%
3,000 to 6,000-33%0%baseline+4%+17%+23%+28%
6,000 to 10,000-31%-2%baseline+2%+11%+16%+42%
10,000+-28%-8%baseline+8%+3%+6%+18%

Characters. n/a: cell below our minimum size. 2024 to 2026.

The long-post premium is largest at 6,000 to 10,000 followers (+42% for 2,400+) and 3,000 to 6,000 (+28%). Short posts under 300 characters lose in every band.

Comments follow length too

Comments rise with length in the same way: +19% for 2,400+ characters vs 600 to 900, and -23% under 150. Longer posts give people something to respond to.

Line breaks and first lines matter less than you think

We also measured formatting. Posts with short, choppy lines (under 40 characters on average) did no better than posts with normal paragraphs (-1% vs 70 to 110 characters per line). The length of the first line barely mattered (+7% for under 40 characters vs 40 to 70). What you say matters more than how you break the lines.

+33%

Finding 15

Open with a moment, not a question

Posts whose first line opens a story got +33% engagement vs the same author's bold-claim openers (95% CI +24% to +41%). Question openers got -8%. Questions are the second most common opening (17% of posts); story openings are only 13%.

368 authorsHigh confidence

Why longer might win

Post what the data says works, in your own voice

LigoSocial learns how you write from your own LinkedIn posts, then drafts posts, comments and replies in that voice right inside LinkedIn. You approve what goes out.

Add LigoSocial to ChromeOr try it at ligosocial.com

Common questions

How long should a LinkedIn post be?
In our data, longer did better: 1,300+ characters beat 600 to 900 characters, and 2,400+ characters did best (+24%). Under 300 characters was clearly worse.
What is the ideal LinkedIn post length in 2026?
Between 1,300 and 3,000 characters, if the content earns it. Posts under 150 characters got -31% vs 600 to 900.
Does the "see more" cut-off hurt long posts?
Not in our data. Long posts beat short ones even though readers must click to expand them. Make the first two lines worth the click.

Download the data

  • Post length effects by follower band

    Engagement vs the same author's 600 to 900 character posts.

    48 rows, CSV

    CSV

Suggested citation

LigoSocial Research (2026). How long should a LinkedIn post be? What 134k posts show. https://ligosocial.com/research/linkedin-post-length

Free to reuse under CC BY 4.0: quote the numbers, embed the charts or rework the data, with credit to LigoSocial Research and a link to this page. Every figure is aggregated and anonymised; no individual, profile or post can be identified.

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