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[LinkedIn Benchmark]

LinkedIn Benchmark May 2026

Real reach and engagement percentiles from 28,035 posts published by 4,953 tracked creators. What a normal post, a good post and a top post actually get.

Reactions by follower count
Comments benchmark
Impressions & engagement rate
Computed on July 19, 2026 · frozen data
[Key takeaways]

In short, May 2026

→The median LinkedIn post earned 20 reactions and 6 comments in May 2026.
→The top 10% of posts exceeded 236 reactions.
→36% of posts got 10 reactions or fewer.
→On the premium-analytics subset, the median post reached 793 impressions with a 2.7% engagement rate.
→Based on 28,035 tracked posts by 4,953 creators. Frozen data, never recomputed.
CC BY 4.0
Cite this study

Source: LinkedIn Benchmark May 2026, LinkPost (https://www.linkpost.gg/en/benchmarks/may-2026)

[Elite thresholds]

What it took to be a top post in May 2026

Top 25%
65
reactions+2%
Top 10%
236
reactions+18%
Top 5%
514
reactions+23%
Top 1%
2,116
reactions+30%
Top 10% in reach: 5.4K impressions
[The numbers]

Performance per post, May 2026

% vs April 2026
FollowersLow (p25)MedianHigh (p75)Top 10%6 moPosts
All creators
6
-14%
20
-9%
65
+2%
236
+18%		28,035
Low = bottom 25% · Median = typical post · High = top 25% · Top = top 10%
[Your turn]

Where do you stand, May 2026

Enter your follower count and your average reactions per post: we place you against every tracked creator of the month. Nothing is stored, the math runs in your browser.

Estimate based on the month's percentiles · nothing is stored

[Distribution]

How reactions are really distributed

0
5.4%
1-5
18.8%
6-10
11.4%
11-25
19.8%
26-50
15%
51-100
10.9%
101-250
9.3%
250+
9.4%

36% of LinkedIn posts got 10 reactions or fewer this month. Going viral is the exception, not the rule.

[Trend]

The median post, last 6 months

Median reactions of a normal post, month by month.

-29% over 6 months
28Dec24Jan23Feb22Mar22Apr20May
[Timing]

When posting paid off

Median reactions by publication day and time slot. Cells with fewer than 10 posts are hidden.

0-4h
4-8h
8-12h
12-16h
16-20h
20-24h
Mon
16
23
17
25
18
19
Tue
22
22
15
19
21
24
Wed
7
28
17
22
25
21
Thu
36
23
17
31
23
26
Fri
25
24
16
24
24
22
Sat
27
36
20
26
25
22
Sun
38
39
20
33
24
25
Monday
19
Tuesday
18
Wednesday
20
Thursday
21
Friday
20
Saturday
23
Sunday
25

Best slot this month: Sunday 4-8h, with 39 median reactions.

Times in Europe/Paris

[Analysis]

What moved in May 2026

The 3 movements of the month
  • →Median likes declined from 22 in April to 20 in May, marking the sixth consecutive month of decline from the December 2025 peak of 28 likes.
  • →Median impressions rebounded from 723 in April to 793 in May, a 10% increase that reverses the previous month's trend.
  • →Carousel share dropped from 4.7% in April to 3.6% in May, reaching its lowest level over the six-month period despite their superior performance of 29 median likes.

The May 2026 analysis reveals a continuing decline in median LinkedIn engagement. Median likes dropped from 22 in April to 20 in May, extending a downward trend from the December 2025 peak of 28 likes. Median comments held steady at 6, but median impressions rebounded to 793, up 10% from April's 723. Video and carousel formats continue to outperform text posts, generating 35 and 29 median likes respectively versus just 11 for text. The carousel share of total posts continues its decline, falling from 4.7% in April to 3.6% in May—the lowest level observed over the six-month period. Posting timing shows notable weekend performance: Saturday posts earned 25 median likes and Sunday posts 23, compared to 18-21 on weekdays. Weekend morning slots (slot 1) delivered the strongest results, with 39 median likes on Sunday and 36 on Saturday.

Post length remains correlated with engagement, as posts over 2200 characters reached 27 median likes—more than double the 13 median likes earned by short posts under 300 characters. The median engagement rate held at 2.65%, ranging from 1.46% at the 25th percentile to 6.87% at the 90th percentile.

[Formats]

Median performance by format

VideoBest
35
Median reactions
Median comments7
Posts2,182
Carousel (PDF)
29
Median reactions
Median comments11
Posts1,000
Image
24
Median reactions
Median comments7
Posts17,365
Text-only
11
Median reactions
Median comments3
Posts7,488
[Format trends]

Format share of voice, month by month

Share of published posts per format over the trailing months.

2025-12
2026-01
2026-02
2026-03
2026-04
2026-05
Text-onlyImageVideoCarousel (PDF)
[Length]

Post length vs reactions

0-300
13
300-600
18
600-900
18
900-1200
19
1200-1600
22
1600-2200
23
2200+
27

Posts of 2200+ characters performed best this month (27 median reactions).

[Lifespan]

How fast a post burns out

Median share of a post's final reactions already earned after 6h, 24h, 48h and 7 days — measured on 12,523 posts with at least 2 metric snapshots and 10+ reactions.

After 6 hours
100%
After 24 hours
100%
After 48 hours
100%
After 7 days
100%

A LinkedIn post earns about 100% of its total engagement within the first 24 hours.

[Hidden metrics]

Saves, reposts and followers gained

Median saves
1
Median reposts
0
Median followers gained
0
Top 10% followers gained
6
Image posts generate the most saves: 6.1 saves per 100 reactions · Premium-analytics subset: 117 posts
[Steal these]

5 stats to steal this month

Ready-to-post stats. Copy one, paste it on LinkedIn, keep the source line.

1

LinkedIn posts over 2200 characters earn 27 median likes, versus just 13 for posts under 300 characters. Length matters.

2

Posting on LinkedIn Sunday morning in May 2026 generated 39 median likes—double the overall median performance of 20 likes.

3

LinkedIn videos earn 35 median likes versus 11 for text-only posts. Yet 61.9% of posts are images and only 7.8% are videos.

4

Reaching the top 10% on LinkedIn in May 2026 required 236 reactions. The top 1% demanded 2,116 reactions—9 times more.

5

The median LinkedIn engagement rate is 2.65%. But posts at the 90th percentile reach 6.87%—2.6 times the median performance.

[Methodology]

How this benchmark is computed

Corpus: 28,035 public LinkedIn posts published during the month (UTC) and tracked by LinkPost, with their latest known metrics snapshot.
Posts collected from algorithmic feeds are excluded: feeds over-sample viral posts and would inflate every percentile.
Low = 25th percentile, Median = 50th, High = 75th, Top = 90th percentile. Percentiles are computed per post, not per creator.
Impressions and engagement rate only cover the 365 posts whose author syncs LinkedIn premium analytics. This subset is flagged wherever it is used.
Follower brackets cover the 0 posts whose author audience size is known. A bracket is only displayed when it holds at least 30 posts.
Each monthly report is computed once, on the 1st of the following month, then frozen. Past months are never recomputed.

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[FAQ]

Frequently asked questions

Where does the data come from?+
From LinkedIn posts tracked by LinkPost: posts imported and synced by creators using the platform, with their public engagement metrics (reactions, comments, shares) and, for a subset, private analytics (impressions). Posts scraped from algorithmic feeds are excluded to avoid a virality bias.
How are the follower brackets built?+
Each post is attached to the latest known follower count of its author at compute time. A bracket is only displayed when it contains at least 30 posts, so small samples never produce misleading percentiles.
Why are impressions based on a subset?+
LinkedIn only exposes impressions to the post author. The impressions and engagement-rate tables therefore cover the posts whose author syncs their LinkedIn analytics with LinkPost. The subset size is always displayed next to the data.
What do Low, Median, High and Top mean?+
Low is the 25th percentile (bottom quarter of posts), Median the 50th (the typical post), High the 75th (top quarter) and Top the 90th (top 10% of posts). Percentiles are more honest than averages, which a handful of viral posts can distort.
Can a past month change after publication?+
No. Each report is computed once on the 1st of the following month, stored, and never recomputed. Numbers you cite from a past benchmark stay stable forever.
Can I reuse these numbers?+
Yes. The data is published under CC BY 4.0: you can quote it in articles, newsletters or talks, with a link to this page as the source. A raw markdown version of every report is available at /source.md for automated consumption.
[Archives]

Previous benchmarks

June 2026
15,838 posts analyzed