NBK Social Research · Study 002

What Works on LinkedIn.

74,119 public LinkedIn posts, measured band by band.

Every public post from 346 prominent LinkedIn writers, 74,119 in all, collected on 10 September 2026 and measured by length, line rhythm, first line, format, image shape, links, hashtags, timing, cadence, subject, profile and banner. Each band is indexed against the median post and checked per follower, on comments and within the author, so the page says which habits lift a post and which only mark a big account.

The study is liveStudy 002 · Published 9 October 2026

Seventeen sections follow, each with its tables and a short reading. The study names no author and quotes no post: it reports the shapes of posts, never the people who wrote them. Every index is correlational across accounts of very different sizes, which is why each headline figure is shown beside the lens that strips account size out.

Study
002
Profiles
346
Posts
74,119
Learning set
39,858 posts, 187 authors
Collected
10 September 2026
Published
9 October 2026
74,119posts collected
346profiles
21,171,919reactions counted
4,405,935comments counted
320median engagement, learning set
2014 to 2026years covered
Twelve findings

The headline findings

Contents

Contents

How to read the numbers

The index is the band's median engagement against the learning set's median. Engagement is reactions plus comments on a post. The learning set is the 39,858 posts from the 187 authors whose own median is 100 or more, and its median post earns 320. A band at 1.13 has a median 13% above that; a band at 0.82 sits 18% below it. A band needs twenty posts to be reported.

Four lenses, because account size is the confound. The raw index counts audience as much as craft: a habit of the largest accounts reads well whatever it does. So each key band is also read per 1,000 followers (median engagement per thousand followers of the author, indexed against 7.2 for the set), on the comments share (comments as a share of all engagement, indexed against 18.8%), and within the author: each post divided by its own author's median, so an index of 1.07 means the band's posts run 7% above what their authors usually get. Where the raw lens and the within-author lens disagree, the within-author reading is the one to trust, and section 5 shows why.

What is not here. No author, handle, post or first line. No reach or impressions, which LinkedIn does not publish. No claim that any band causes anything: a post that breaks every rule on this page can still be the best post of the week if it has a point.

In the tables. Each index cell carries a short bar against the set's median (the tick is 1.00): gold above it, grey below. The strongest band in a table is marked.

Length

Length is where the lenses disagree most, and that disagreement is the finding. Raw, the longest band wins: over 2,000 characters indexes 1.29, the highest reading of any length band, and over 300 words 1.27. Per follower, the same band reads 0.88: the authors who write past 2,000 characters are the accounts with the most followers, and the raw index is counting their audience. The band that leads per follower is 700 to 2,000 characters at 1.12, with 1.13 of the comment share.

The floor is firm on every lens. Under 300 characters indexes 0.59; under 700, 0.75 per follower and 0.67 on comments. The strongest forty authors run a median of 1,162 characters a post against 1,090 for the typical author.

Table 1.1 Characters per post, raw index
BandIndexPostsMedian engagement
over 2000 1.29 5,209410
1200 to 2000 1.07 13,269341
700 to 1200 0.98 11,917312
300 to 700 0.87 6,023279
under 300 chars 0.59 3,440188
Table 1.2 Characters per post, four lenses
BandIndex (raw)Per 1,000 followersIndex per followerComments shareComments indexPosts
over 2000 1.28 6.4 0.88 19.2% 1.02 5,209
700 to 2000 1.03 8.1 1.12 21.2% 1.13 25,184
under 700 chars 0.78 5.4 0.75 12.5% 0.67 9,436
Table 1.3 Words per post, raw index
BandIndexPostsMedian engagement
over 300 words 1.27 7,146405
200 to 300 words 1.05 11,508336
100 to 200 words 0.97 13,701310
under 100 words 0.72 7,503231
Reading

Read the two length tables together and the shape is clear: write enough to make a point (700 characters and up), and do not mistake the long-post index for a rule. A 2,500-character post from a 10,000-follower account is not carrying the audience that makes the raw band look good.

Line rhythm and white space

How a post is laid out moves the needle more than how long it is. Short lines, under 60 characters each, index 1.08; medium lines 0.93; paragraphs over 110 characters a line, 0.85. Both cohorts agree (craft 0.88, domain 0.84 for paragraphs).

Blank lines tell the same story from the other side: over eight indexes 1.11, four to eight 0.90, and one to three or none 0.66. The strongest authors run a median of 12 blank lines a post. What sits above the first break matters too: under 60 characters before the first break indexes 1.12, against 0.94 for 60 to 140. Sentences under eight words index 1.09.

Table 2.1 Line length
BandIndexPostsMedian engagement
short lines (under 60 chars each) 1.08 21,743345
medium lines (60 to 110) 0.93 11,908298
paragraphs (over 110 chars a line) 0.85 6,207272
Table 2.2 Blank lines
BandIndexPostsMedian engagement
over 8 blank lines 1.11 25,210355
4 to 8 blank lines 0.90 8,823288
1 to 3 blank lines 0.66 3,676212
no blank lines 0.66 2,149210
Table 2.3 Characters before the first line break
BandIndexPostsMedian engagement
under 60 chars before the first break 1.12 17,819356
60 to 140 before the first break 0.94 16,849299
over 210 before the first break (past the fold) 0.93 2,520296
140 to 210 before the first break 0.83 2,670266
Table 2.4 Words per sentence
BandIndexPostsMedian engagement
under 8 words a sentence 1.09 6,932347
8 to 12 words a sentence 1.07 14,045341
12 to 18 words a sentence 0.97 10,815310
over 18 words a sentence 0.87 7,231278
no sentence punctuation 0.75 835238
Reading

One sentence per line, a blank line between, and a first line that ends before the reader has to scroll. The paragraph post is the weakest rhythm band in both cohorts, which is a measured fact about the feed rather than a taste.

The first line

The first line is the only part of a post everyone sees, so nine things about it were measured, each on four lenses. Length first: under 40 characters indexes 1.13, 40 to 80 1.01, 80 to 140 0.90, over 140 0.76. In words, four to seven is the strongest band on the raw index (1.11) and on comments (1.23); over twenty words indexes 0.82 raw, 0.54 per follower and 0.49 on comments, the single weakest reading in the hook tables.

Shape: one full sentence indexes 1.04; a line that ends open on a colon or an ellipsis 1.06; a fragment 0.99 raw but 1.22 per follower; a question 0.88; and two or more sentences on the first line 0.88 raw with 0.62 of the comment share, the weakest opener shape on every lens. An all-caps word in the first line indexes 0.84 (comments 0.70); an emoji 0.92; a number is not a lever (0.99). A first line that names no subject indexes 1.06 against 0.95 for one that does, on the raw lens; within the author both read 1.00.

Table 3.1 First line, characters
BandIndexPostsMedian engagement
first line under 40 chars 1.13 11,275359
first line 40 to 80 1.01 18,922321
first line 80 to 140 0.90 6,292286
first line over 140 0.76 3,369243
Table 3.2 First line, words
BandIndex (raw)Index per followerWithin the authorComments indexPosts
4 to 7 words 1.11 1.15 1.02 1.23 11,345
1 to 3 words 1.02 1.41 1.01 1.14 1,805
8 to 12 words 1.01 1.06 1.00 1.13 14,128
13 to 20 words 0.93 0.90 0.99 0.90 7,710
over 20 words 0.82 0.54 0.96 0.49 4,841
Table 3.3 First line, shape
BandIndex (raw)Index per followerWithin the authorComments indexPosts
ends open (colon or ellipsis) 1.06 0.88 1.03 1.06 3,110
one full sentence 1.04 1.01 1.00 1.08 20,593
a fragment 0.99 1.22 1.03 1.05 8,880
a question 0.88 0.94 0.94 1.06 2,017
two or more sentences on the line 0.88 0.75 0.98 0.62 5,229
Table 3.4 First line, an all-caps word
BandIndex (raw)Index per followerWithin the authorComments indexPosts
no all-caps word 1.01 1.01 1.00 1.03 36,341
carries an all-caps word 0.84 0.91 0.97 0.70 3,488
Table 3.5 First line, an emoji
BandIndex (raw)Index per followerWithin the authorComments indexPosts
no emoji 1.02 1.00 1.00 1.04 34,379
carries an emoji 0.92 1.05 1.02 0.82 5,450
Table 3.6 First line, a number
BandIndex (raw)Index per followerWithin the authorComments indexPosts
no number 1.00 1.02 0.99 0.97 30,247
carries a number 0.99 0.94 1.03 1.10 9,582
Table 3.7 First line, who it addresses
BandIndex (raw)Index per followerWithin the authorComments indexPosts
says you 1.03 0.98 0.98 1.08 9,514
says I or we 1.00 1.08 1.04 1.07 12,781
neither you nor I 0.99 0.98 0.99 0.92 17,534
Table 3.8 First line, names its subject
BandIndex (raw)Index per followerWithin the authorComments indexPosts
names no subject 1.06 1.11 1.00 1.08 18,830
names a subject in the line 0.95 0.91 1.00 0.93 20,999
Table 3.9 First line, a negation or contrast
BandIndex (raw)Index per followerWithin the authorComments indexPosts
a negation or contrast 1.04 0.98 1.00 0.98 7,793
no contrast 0.99 1.01 1.00 1.01 32,036
Table 3.10 First line, points at something not yet said
BandIndex (raw)Index per followerWithin the authorComments indexPosts
stands on its own 1.00 1.00 1.00 1.00 37,903
opens with a dangling reference 0.99 1.12 1.04 1.03 1,926
Reading

Four to seven words, one sentence, no capitals and no emoji. The one surprise is the subject line: across authors a first line that withholds its subject reads higher, which is the curiosity hook at work, and within the author the two shapes are level. The within-author column is the one to trust where they disagree.

Openers and archetypes

Beyond the first line, what kind of post is it? Among openers, a story anchored in time (a day, a year, an age) indexes 1.17; a number 1.12; first person 1.04; a question 0.88.

Classified by archetype, the feed is mostly observation: 55% of posts are an observation or a take, and they index 0.97. A how-to or numbered post (9.1% of posts) indexes 1.13 with 1.33 of the comment share; a contrarian claim 1.09; a personal story (15%) 1.07 raw and 1.07 within the author, the strongest within-author reading of any archetype after the announcement (1.13, on 2.7% of posts). A data drop indexes 0.92 and a question-led post 0.87.

Table 4.1 Opener kind
BandIndexPostsMedian engagement
a story, anchored in time 1.17 1,107372
a number 1.12 1,522356
you 1.09 2,301348
contrarian claim 1.09 2,100348
I or we 1.03 5,461329
another statement 0.99 23,018315
a fragment of three words or fewer 0.95 1,395302
a question 0.88 1,965280
a quotation 0.80 989255
Table 4.2 Opener, simple classes
BandIndexPostsMedian engagement
opens with a number 1.12 1,628356
opens in first person 1.04 5,249333
opens another way 1.00 29,793320
opens with a question 0.88 3,188280
Table 4.3 Post archetype
BandShare of postsIndex (raw)Index per followerWithin the authorComments indexPosts
how-to or numbered9.1% 1.13 0.78 1.03 1.33 2,731
contrarian claim4.9% 1.09 1.09 1.00 1.10 1,464
personal story15% 1.07 1.16 1.07 1.16 4,464
announcement2.7% 1.03 1.07 1.13 0.76 809
observation or take55% 0.97 1.01 1.01 0.90 16,339
data drop9.0% 0.92 0.93 1.00 1.10 2,674
question-led4.6% 0.87 0.96 0.95 1.02 1,379

Archetypes are assigned by rule from the text, one per post; the rules are in the methodology.

Reading

The personal story is the archetype that lifts an author above their own median most reliably, and the question-led post is the one that lands below it on every lens. The how-to earns comments; the announcement earns reactions from the author’s own audience and few comments.

The close

The ending is where this study changed its own mind. Across authors, a post that ends on an ask indexes 1.17 and a P.S. 1.10; on the lenses a P.S. reads 1.19 raw, 1.35 per follower and 1.70 on comments, and ending on a question 1.55 on comments. Those are big numbers and they are the ones most LinkedIn advice is built on.

Within the author, each post against that author's own median, the whole close dimension spans 0.99 to 1.04: a P.S. ending on a statement 1.04, a plain question close 1.03, a P.S. ending on a question 1.02, a plain statement 0.99. Question marks anywhere in the post run from 0.99 to 1.01. The cross-author readings were measuring the size of the accounts that use the habit, not the habit.

Table 5.1 How the post ends
BandShare of postsIndex (raw)Index per followerWithin the authorComments indexPosts
an ask11% 1.17 0.83 1.01 1.04 3,404
a P.S.11% 1.10 1.16 1.02 1.63 3,145
a statement72% 0.96 0.97 1.01 0.89 21,413
a question5.8% 0.90 1.41 1.03 1.34 1,735
ends on a list0.5% 0.73 1.03 1.05 0.83 163
Table 5.2 A P.S., four lenses
BandIndex (raw)Per 1,000 followersIndex per followerComments shareComments indexPosts
has a P.S. 1.19 9.8 1.35 31.8% 1.70 4,372
no P.S. 0.97 7.0 0.97 17.2% 0.92 35,457
Table 5.3 Ends on a question, four lenses
BandIndex (raw)Per 1,000 followersIndex per followerComments shareComments indexPosts
ends on a question 1.06 10.0 1.38 29.1% 1.55 3,099
ends on a statement 0.99 7.0 0.97 17.9% 0.95 36,730
Table 5.4 Within the author: the close
BandIndex within the authorPosts
a P.S. ending on a statement 1.039 3,553
no P.S., ends on a question 1.033 2,283
a P.S. ending on a question 1.022 819
no P.S., ends on a statement 0.994 33,203
Table 5.5 Within the author: question marks
BandIndex within the authorPosts
one question mark 1.008 10,184
2 or 3 question marks 1.001 7,882
4 or more question marks 1.000 4,034
no question marks 0.994 17,758
Reading

End on sense. A P.S. is worth about a point either way once the author is held constant, and a question mark is not a lever at all. The other fourteen dimensions were not re-read on this question in the same depth; where a cross-author index looks too good, assume account size until the within-author column says otherwise.

Format, images and links

By format, video indexes 1.23 raw but 0.84 per follower and 0.67 on comments; image 1.07 raw and 1.17 per follower; a document (carousel) 0.93 raw with the highest comment share of any format at 1.47; text only 0.58; a link card 0.51, the weakest format on every lens.

Within the author the gaps are wider than the raw bands show: a text-only post earns 0.39 of the same author's image posts (14 wins in 108 authors), a link card 0.52 (7 in 41), and an image post with a URL in its text 0.88 (45 in 119). A URL in the last fifth of the text indexes 1.24, earlier in the text 1.03. Saying the link is in the comments indexes 0.97: the folklore is not supported. A post carrying any link reads 1.18 raw and 0.55 per follower, another big-account habit.

Image shape: portrait 1.13, square 0.93, landscape 0.81, no image 0.87, and portrait leads per follower and on comments too. Four or more images index 1.15 against 1.05 for one.

Table 6.1 Format, raw index
BandIndexPostsMedian engagement
video 1.23 5,188391
image 1.07 27,201340
document (carousel) 0.93 2,215297
text only 0.58 3,769184
link card (article preview) 0.51 1,485164
Table 6.2 Format, four lenses
BandIndex (raw)Per 1,000 followersIndex per followerComments shareComments indexPosts
video 1.22 6.1 0.84 12.6% 0.67 5,187
image 1.06 8.5 1.17 20.9% 1.11 27,187
document 0.93 5.3 0.73 27.5% 1.47 2,215
text only 0.58 4.1 0.57 15.9% 0.85 3,766
link card 0.52 2.3 0.32 10.7% 0.57 1,474
Table 6.3 Format by whether a URL sits in the text
BandIndexPostsMedian engagement
video / url in text 1.52 1,151486
image / url in text 1.30 5,475415
document (carousel) / url in text 1.23 620393
video / no url 1.15 4,037366
image / no url 1.02 21,726325
document (carousel) / no url 0.90 1,595287
link card (article preview) / no url 0.65 860206
text only / url in text 0.58 430186
text only / no url 0.58 3,339184
link card (article preview) / url in text 0.37 625118
Table 6.4 Where the URL sits
BandIndexPostsMedian engagement
url in the last fifth 1.24 6,634394
url earlier in the text 1.03 1,667330
no url in text 0.97 31,557308
Table 6.5 "Link in the comments"
BandIndexPostsMedian engagement
does not 1.00 39,387320
says the link is in the comments 0.97 471309
Table 6.6 Within the author: format
ComparisonMedian ratioAuthors where the first winsAuthors measured
the same author's image posts with a URL in the text, against their image posts without one0.8845119
the same author's link-card posts against their image posts0.52741
the same author's text-only posts against their image posts0.3914108
Table 6.7 Image shape, four lenses
BandIndex (raw)Per 1,000 followersIndex per followerComments shareComments indexPosts
portrait image 1.13 8.8 1.22 22.3% 1.19 19,681
square image 0.93 9.8 1.35 18.8% 1.00 4,262
no image 0.87 5.0 0.69 14.7% 0.78 12,642
landscape image 0.81 5.9 0.82 14.4% 0.77 3,244
Table 6.8 Number of images
BandIndexPostsMedian engagement
4 or more images 1.15 959367
one image 1.05 23,984335
2 or 3 images 1.00 2,909319
no image 0.90 12,006286
Table 6.9 Carries a link, four lenses
BandIndex (raw)Per 1,000 followersIndex per followerComments shareComments indexPosts
carries a link 1.18 4.0 0.55 16.4% 0.87 8,294
no link 0.97 8.3 1.15 19.5% 1.04 31,535
Reading

Post an image, in portrait. Never a link card. If a link must go in the post, put it at the end of the text; "link in the comments" is a ritual that changes nothing measurable. Video reads well raw and badly per follower, which says the biggest accounts post video rather than that video lifts a post.

What the strongest image posts show

The corpus measured whether a post had an image and what shape it was, not what was in it. So the 94 highest-lifting image posts (one per author, each post against the author's own median) were read by eye and classified. 50% are a photograph of the author; 17% a meme; 11% a text card; 7.4% a screenshot; 6.4% a chart. 61% carry words on the image.

Within that set, the meme lifts most (1.44 against the set's median lift of 7.57 times the author's median) and the photograph of the author least (0.86), though the photograph draws the most comments (1.27) after the screenshot (2.24). Text on the image reads 1.11; an image with no people in it 1.11.

Table 7.1 The 94 strongest image posts, by what the picture is
KindShare of the setLift over the author’s medianLift indexComments indexPosts
has text: text on the image61%8.43x 1.11 0.90 57
has text: no text on the image39%5.76x 0.76 1.23 37
kind: meme17%10.92x 1.44 0.52 16
kind: text-card11%7.70x 1.02 0.68 10
kind: chart6.4%5.72x 0.76 1.33 6
kind: photo-of-author50%6.54x 0.86 1.27 47
kind: screenshot7.4%7.13x 0.94 2.24 7
people: no people in the image31%8.43x 1.11 0.90 29
people: people in the image69%7.25x 0.96 1.03 65
Reading

Half of the biggest image wins are the author’s own face, and the face is the kind that lifts least and converses most. The meme and the text card carry the words; the photograph carries the person. A read of 94 posts is a small set and is reported as one.

Hashtags, mentions and emoji

No hashtags indexes 1.05; one to three 0.82; over three 0.84. On the lenses, a hashtagged post reads 0.94 per follower and 0.71 on comments. The strongest authors hashtag 6% of posts, the typical author 10%. Both cohorts agree (craft 1.05, domain 1.05 for none).

Tagging one person or company indexes 1.12; tagging two or three 0.99. Emoji read 1.10 for three or more and 0.89 for none, but the strongest and the typical authors use them at the same rate (66% and 62% of posts), so the raw band is who uses them, not what they do; in the first line an emoji indexes 0.92. Exclamation marks: none 1.03, one or two 0.93.

Table 8.1 Hashtags, raw index
BandIndexPostsMedian engagement
no hashtags 1.05 31,569336
over 3 hashtags 0.84 4,411268
1 to 3 hashtags 0.82 3,878260
Table 8.2 Hashtags, four lenses
BandIndex (raw)Per 1,000 followersIndex per followerComments shareComments indexPosts
no hashtags 1.05 7.3 1.01 20.1% 1.07 31,547
has hashtags 0.83 6.8 0.94 13.3% 0.71 8,282
Table 8.3 Tags (mentions)
BandIndexPostsMedian engagement
tags one person or company 1.12 10,522358
tags 2 or 3 0.99 4,101315
tags nobody 0.97 23,525309
tags 4 or more 0.78 1,710250
Table 8.4 Emoji
BandIndexPostsMedian engagement
3 or more emoji 1.10 11,833350
1 or 2 emoji 1.07 10,508342
no emoji 0.89 17,517284
Table 8.5 Exclamation marks
BandIndexPostsMedian engagement
no exclamation marks 1.03 30,913329
1 or 2 exclamation marks 0.93 7,039296
3 or more exclamation marks 0.86 1,906273
Table 8.6 Capitalised words
BandIndexPostsMedian engagement
1 or 2 capitalised words 1.03 11,357330
no capitalised words 1.00 22,643319
3 or more capitalised words 0.95 5,858304
Reading

Drop the hashtags. Tag one person when there is a reason. Emoji are a style, not a lever; exclamation marks read like noise.

Numbers, lists, quotes and voice

Posts with six or more numerals index 1.12, three to five 1.04; a percentage or a money figure 1.05. Four or more list lines index 1.10; a quoted passage 1.06.

Voice: "you" four or more times per hundred words indexes 1.08, and "I" under twice per hundred words 1.10 against 1.04 for four or more. A first line that says "you" reads 1.08 on comments; one that says "I" or "we" 1.08 per follower.

Table 9.1 Numerals in the post
BandIndexPostsMedian engagement
6 or more numbers 1.12 10,903356
3 to 5 numbers 1.04 7,456332
1 or 2 numbers 0.96 9,563307
no numbers 0.90 11,936288
Table 9.2 A percentage or money figure
BandIndexPostsMedian engagement
a percentage or a money figure 1.05 7,357335
no percentage or money figure 0.99 32,501316
Table 9.3 List lines
BandIndexPostsMedian engagement
4 or more list lines 1.10 9,922352
no list lines 0.97 26,727310
1 to 3 list lines 0.92 3,209293
Table 9.4 A quoted passage
BandIndexPostsMedian engagement
carries a quoted passage 1.06 10,684338
no quoted passage 0.98 29,174313
Table 9.5 "You" per hundred words
BandIndexPostsMedian engagement
you 4 or more per 100 words 1.08 13,538344
you 2 to 4 per 100 words 1.06 10,211337
you under 2 per 100 words 1.00 10,310320
never says you 0.72 5,799229
Table 9.6 "I" per hundred words
BandIndexPostsMedian engagement
I under 2 per 100 words 1.10 13,186352
I 4 or more per 100 words 1.04 9,319333
I 2 to 4 per 100 words 1.03 7,141329
never says I 0.82 10,212261
Table 9.7 Question marks, raw index
BandIndexPostsMedian engagement
4 or more question marks 1.06 4,034339
one question mark 1.05 10,184335
2 or 3 question marks 1.03 7,882328
no question marks 0.94 17,758300
Reading

Specific beats general: digits, a figure with a unit, a list the eye can count. Address the reader more than yourself. Question marks look like a lever on the raw index and vanish within the author (section 5).

Reposts and quote posts

An original post indexes 1.06; a repost 0.83; a quote post (a repost with the author's own words above it) 0.20, a median of 64 engagements against 339 for an original. Reposts are 1.3% of the classified posts.

Table 10.1 Post type
BandIndexPostsMedian engagement
regular 1.06 32,331339
repost 0.83 6,760265
quote 0.20 76764
Reading

A repost is a fifth of an original and a quote post a twentieth. If something is worth sharing it is worth writing about in a post of your own.

Timing: hour, day and slot

12 to 17 UTC indexes 1.16 against 0.87 for every other hour, and by the hour the peak is 14:00 UTC at 1.20 with the trough at 01:00 UTC (0.53). Evening (17 to 22 UTC) reads 0.76 and night 0.75. By day, Monday leads at 1.06, Sunday 1.05 and Friday 1.04; Thursday trails at 0.93. The strongest single cell is Sunday 12 to 17 UTC at 1.34, then Saturday 12 to 17 UTC at 1.24; the weakest is Thursday evening at 0.68.

Two checks temper it. Within the author, afternoon posts earn 1.07 of the same author's posts at other hours (84 of 141 authors do better in the afternoon), so the lever is real but small. Per follower, the afternoon reads 0.93: the biggest accounts also post then, which inflates the raw index. Timing is advisory in NBK's own rules for exactly this reason.

Table 11.1 Hour of posting (UTC)
HourIndexPostsMedian engagement
00:00 UTC 0.67 362215
01:00 UTC 0.53 321170
02:00 UTC 0.76 308244
03:00 UTC 0.78 379249
04:00 UTC 0.89 951284
05:00 UTC 0.92 1,687295
06:00 UTC 0.95 2,402303
07:00 UTC 1.03 1,825329
08:00 UTC 0.97 1,570310
09:00 UTC 1.06 1,545337
10:00 UTC 0.85 1,573270
11:00 UTC 0.96 1,855306
12:00 UTC 1.12 2,546357
13:00 UTC 1.16 4,289370
14:00 UTC 1.20 5,396382
15:00 UTC 1.19 4,135381
16:00 UTC 1.05 2,284336
17:00 UTC 0.77 1,659246
18:00 UTC 0.77 1,419245
19:00 UTC 0.70 1,038223
20:00 UTC 0.82 787261
21:00 UTC 0.77 590246
22:00 UTC 0.72 489229
23:00 UTC 0.70 448222
Table 11.2 Day of the week
BandIndexPostsMedian engagement
Mon 1.06 6,494337
Sun 1.05 3,194336
Fri 1.04 5,984331
Sat 1.02 3,810324
Tue 0.99 6,477317
Wed 0.98 7,016312
Thu 0.93 6,883298
Table 11.3 Day by slot, index
Day05 to 08 UTC08 to 12 UTC12 to 17 UTC17 to 22 UTC22 to 05 UTC
Mon 1.02 1.10 1.16 0.81 0.82
Tue 0.98 0.89 1.15 0.76 0.80
Wed 0.97 0.88 1.12 0.73 0.79
Thu 0.92 0.87 1.11 0.68 0.68
Fri 1.00 1.05 1.16 0.76 0.72
Sat 0.90 0.94 1.24 0.79 0.73
Sun 0.80 0.92 1.34 0.89 0.71

Each cell is the band’s median engagement against the learning set’s median. UTC throughout; the authors post from many time zones.

Table 11.4 Afternoon against every other hour, four lenses
BandIndex (raw)Per 1,000 followersIndex per followerComments shareComments indexPosts
12 to 17 UTC 1.16 6.7 0.93 20.4% 1.09 18,640
other hours 0.87 7.8 1.08 17.0% 0.91 21,189
Table 11.5 Day of the week, four lenses
BandIndex (raw)Per 1,000 followersIndex per followerComments shareComments indexPosts
Mon 1.05 8.1 1.12 20.0% 1.07 6,491
Sun 1.05 6.1 0.84 16.5% 0.88 3,194
Fri 1.03 7.1 0.98 18.1% 0.97 5,981
Sat 1.01 6.9 0.95 16.5% 0.88 3,807
Tue 0.99 7.3 1.01 20.2% 1.08 6,473
Wed 0.98 7.3 1.01 18.8% 1.00 7,008
Thu 0.93 7.1 0.98 19.7% 1.05 6,875
Reading

Early afternoon UTC, any day but Thursday, and the weekend afternoon slots read highest of all. Then stop optimising: the same author moves seven points by timing and the rest of this study moves more.

Cadence and the gap between posts

Authors who post six to seven times a week have the highest median of medians (379, 57 authors); four to five a week 258; eight or more 283; under one a week 139. The forty strongest authors by median post 6.2 times a week. Within the author, posts in a busier-than-usual week earn 0.93 of posts in a quieter week (48 of 131 authors do better when busier): cadence is a property of authors, and posting more in a given week does not lift the posts in it.

The gap matters more than the count. A post 20 to 30 hours after the author's last indexes 1.13; 12 to 20 hours 0.97; under six hours 0.80; two days 0.98; four to eight days 0.93; more than eight days 0.63. Within the author, a post under twelve hours after the previous one earns 0.82 of their posts twenty or more hours apart (31 of 131 authors do better fast).

Table 12.1 Posts per week, by author
BandAuthorsTypical posts a weekMedian of author medians
under 1 a week180.4139
1 to 2 a week91.5233
2 to 3 a week222.8228
4 to 5 a week334.4258
6 to 7 a week576.4379
8 or more a week3713.6283
Table 12.2 Hours since the author’s previous post
BandIndexPostsMedian engagement
under 6 hours since the last post 0.80 6,601255
6 to 12 hours 0.92 2,203293
12 to 20 hours 0.97 2,947310
20 to 30 hours (the next day) 1.13 17,655362
30 to 54 hours (two days) 0.98 4,653314
2 to 4 days 0.98 2,843312
4 to 8 days 0.93 1,835298
over 8 days 0.63 934200
first post in the sample 0.74 187236
Reading

One post a day, the next day, is the strongest rhythm in the set; twice in a day costs the second post a fifth. A week away costs more than that. Cadence is the habit of the strongest authors rather than a switch any one post can flip.

Topics

Each post was tagged for nine subject families by rule. Life outside work indexes 1.15 raw and 1.11 within the author, the strongest subject on both; failure and lessons 1.13; AI 1.05; leadership and teams 1.03 (37% of posts, the most common subject); hiring and careers 1.03; money 1.01. Content craft reads 0.90, LinkedIn itself 0.89 and agency and client life 0.87: the feed's own trade talk is its weakest subject.

11% of the learning set (4,240 of 39,858 posts) is time-bound, carrying a phrase such as "today", "this week" or "just launched"; the rest is evergreen.

Table 13.1 Subject families
SubjectShare of postsIndex (raw)Index per followerWithin the authorComments index
life outside work16% 1.15 1.03 1.11 0.94
failure and lessons21% 1.13 1.09 1.03 1.16
AI21% 1.05 0.71 0.99 0.92
leadership and teams37% 1.03 0.99 1.01 1.12
hiring and careers31% 1.03 1.01 1.04 1.11
money27% 1.01 0.96 1.00 1.14
a platform by name5.8% 1.00 0.88 1.01 0.84
content craft30% 0.90 1.06 1.00 1.26
LinkedIn itself19% 0.89 1.19 1.00 1.45
agency and client life18% 0.87 1.15 1.00 1.27
Table 13.2 Posts by subject (a post can carry more than one)
SubjectPosts
leadership13,589
hiring and careers11,329
content craft11,195
money9,848
ai8,066
linkedin itself7,816
failure and lessons7,464
agency and client6,495
life outside work5,941
platform news2,034
Reading

The subjects that win are the ones that are not about the work: a life outside it, a thing that went wrong. Posts about content, about LinkedIn and about agency life read lowest, which is worth knowing for anyone whose job is all three.

The profiles

The 44 strongest authors by median engagement were compared with all 344 profiles on 26 signals. Verification: 89% against 76%. Premium: 64% against 53%. A Top Voice badge: 16% against 5%. Creator hashtags set: 73% against 44%. A website link: 23% against 13%. Creator mode as recorded at harvest: 82% against 56%.

The headline is shorter: a median of 101 characters against 123. "I help" headlines are rarer (11% against 20%), a number in the headline a little more common (41% against 37%), and pipes or separators less common (59% against 70%). The About is longer, 1,402 characters against 1,208, with a shorter first line (92 characters against 102), and 73% carry a number in it. Median followers are 104,488 against 13,028, which is the caveat on every row: these are the profiles of accounts that are already large.

Table 14.1 Profile signals, the 44 strongest authors against all 344
SignalStrongestAll profiles
Creator mode recorded on the profile82%56%
Verified89%76%
Premium64%53%
Top Voice badge16%5%
Creator hashtags set73%44%
Website link set23%13%
Education listed89%91%
Certifications listed39%47%
Has a banner95%93%
Headline length (characters)101123
About length (characters)1,4021,208
Positions listed55
Connections10,9355,622
Followers104,48813,028
Creator hashtags (count)50
Top skills shown (count)03
Education entries (count)22
Experience description (characters)345398
"I help" headline11%20%
A number in the headline41%37%
Pipes or separators in the headline59%70%
Role, company and a proof point in the headline9%8%
About first line (characters)92102
A list in the About34%31%
A call to action in the About25%25%
A number in the About73%66%

Shares are the percentage of profiles with the signal; medians are the median value. Creator mode is reported as the harvest recorded it on the profile.

Table 14.2 Top skills shown by the strongest authors
SkillAuthors
Business Strategy4
Leadership4
Business Development3
Entrepreneurship3
Personal Branding3
Communication2
Digital Marketing2
Innovation Development2
Project Management2
Social Media Marketing2
Startups2
Strategic Partnerships2
ACATS1
Artificial Intelligence (AI)1
Brand Development1
Table 14.3 Creator hashtags set by the strongest authors
HashtagAuthors
#entrepreneurship10
#business9
#marketing6
#personalbranding6
#socialmedia4
#ai3
#branding3
#copywriting3
#digitalmarketing3
#growth3
Table 14.4 The benchmark
MeasureStrongestAll
Has a banner42 of 44321 of 344
Headline length, median characters101123
About length, median characters1,4021,322
Piped headline55%68%
Positions listed, median55
Reading

A profile cannot be A/B tested against itself, so every row here is prevalence: what the strongest accounts have, not what made them strong. The pattern is still plain. Verified, a short headline that states what you do without "I help", a long About that opens short and carries a number, and a banner.

Banners

41 of the strongest authors' banners were read by eye. 54% carry a positioning line (what the author does or stands for), 24% are decorative with no message, 20% carry an offer, and 2.4% lead with a proof point. 78% carry words at all, a median of 15.5 words when they do; 32% show the author; 29% a wordmark; 24% a call to action; 20% client or press logos; 12% a proof number.

Table 15.1 What the banners carry (41 read)
KindBannersShare
positioning2254%
decorative1024%
offer820%
proof12.4%
Table 15.2 Elements on the banner
ElementBannersShare
any text3278%
shows author1332%
wordmark1229%
cta1024%
logos820%
proof number512%

Prevalence across strong authors read by eye. Each author has one banner, so no within-author lift is possible and no engagement figure is computed: this says what they do, not what works.

Reading

One line that says what you do, in about fifteen words, on a banner that is otherwise quiet. The proof number is rare and the empty skyline is common; neither is the modal choice of the strongest accounts.

The strongest authors against the typical author

Set the 40 strongest authors beside the 136 typical ones and most style habits are shared: media on 97% and 97% of posts, emoji on 66% and 62%, 12 and 11 blank lines, 6.3 and 5.8 posts a week. The differences are the levers this study found elsewhere: hashtags on 6% of posts against 10%, a first line of 47 characters against 54, a question close on 2% against 4%, and 1,162 characters against 1,090. Median followers: 114,195 against 27,650.

Table 16.1 Strong against typical
MeasureStrongest 40Typical
Authors40136
Median followers114,19527,650
Median characters a post1,1621,090
Median first line, characters4754
Median blank lines1211
Posts a week6.35.8
Posts with media97%97%
Posts with emoji66%62%
Posts with hashtags6%10%
Posts ending on a question2%4%
Reading

The strongest authors do not write differently in most measurable ways. They hashtag less, open shorter, close on a statement and write a little longer. Everything else is shared, which is why the first-line and format sections carry the weight of this study.

Do the two cohorts agree?

The learning set is two groups of authors: a craft cohort (115 authors, 24,649 posts, median engagement 345) chosen for how they write, and a domain cohort (72 authors, 15,209 posts, median 288) chosen for working in social and marketing. A finding that holds in both is a finding about the feed rather than about one crowd. The levers this study leans on hold in both.

Table 17.1 Key bands by cohort, index
BandAllCraftDomain
no hashtags1.051.051.05
1 to 3 hashtags0.820.780.88
first line under 40 chars1.131.111.10
first line over 1400.760.770.76
short lines (under 60 chars each)1.081.061.05
paragraphs (over 110 chars a line)0.850.880.84
over 8 blank lines1.111.101.10
1 to 3 blank lines0.660.630.70
over 20001.291.311.20
under 300 chars0.590.530.67
has an image1.031.031.01
text only0.710.590.94
carries a link1.181.321.05
quote0.200.200.19
afternoon, 12 to 17 UTC1.161.201.08
Thu0.930.900.97
Reading

Every band above moves the same way in both cohorts. The size of the move differs by a few hundredths, the direction never does.

Frequently asked questions

What does the study measure?

The public engagement (reactions plus comments) of 74,119 LinkedIn posts from 346 prominent writers, collected on 10 September 2026, grouped into bands by how a post is written, formatted and timed, and by what its author's profile carries. Each band's median engagement is indexed against the learning set's median (320), and checked per 1,000 followers, on the comments share and within the author.

Does the study name the authors or quote the posts?

No. The study publishes aggregate tables only. No author, handle, post, first line or follower count is published, and the export that builds this page refuses to write a file carrying one.

Is a band index a cause?

No. Every index is correlational across accounts of very different sizes. The within-author lens, each post against its own author’s median, is the honest check and is shown wherever it was computed; where the two disagree, the within-author reading is the one to trust.

Do hashtags help on LinkedIn?

No. Posts with no hashtags index 1.05; one to three index 0.82 and more than three 0.84, and the comment share falls to 0.71. Both cohorts agree.

Should the link go in the comments?

It makes no measurable difference (0.97). What costs engagement is the link card: 0.52 of the same author's image posts. A URL in the last fifth of the text of an image post is the least costly way to carry one.

How long should a LinkedIn post be?

700 to 2,000 characters leads per follower (1.12). Over 2,000 characters reads highest raw (1.29) and 0.88 per follower, a habit of the largest accounts. Under 300 characters indexes 0.59.

When is the best time to post on LinkedIn?

12 to 17 UTC indexes 1.16, with 14:00 UTC the peak hour and Sunday afternoon the strongest cell. Within the same author the afternoon is worth 1.07, so timing is a small lever next to the first line, the format and the hashtags.

Who is behind the study?

What Works on LinkedIn is researched by Matt Cunnelly and Josh Stoddard and published by NBK Social Research, the research imprint of NBK Social, a social operations agency working between Dubai and Manchester.

How to cite this study

NBK Social Research (2026). What Works on LinkedIn: 74,119 posts measured. nbksocial.com/research/what-works-on-linkedin/