State of LinkedIn, live report
The State of LinkedIn, measured continuously
Insights from 54,749 unique posts and 11,156 active creators from the last 60 days. Paste your LinkedIn for a free audit and see your buyers in a minute.
rollup generated Oct 21, 2026
00 Key findings
The headline numbers, before you scroll
What is the best day to post on LinkedIn?
Across the tracked corpus, Friday posts earn the most engagement on the typical post (14 reactions, with half of that day's posts earning fewer), even though most posts cluster on weekday business hours. The margin is narrow: measured across 54,749 posts over a 60-day window, the typical post on every day of the week earns between 9 and 14 reactions, so which day you post matters far less than what you post. The sharper pattern is volume versus payoff. Tuesday is the most crowded day, with 11,433 posts in the window and 63.4 average reactions per post, while Saturday and Sunday see the least competition: 2,953 and 4,145 posts, with averages of 76.8 and 72.5 reactions, because strong posts keep circulating while the feed goes quiet. Friday is the safest single-day bet for the typical post, but the quiet days offer the best payoff per competing post for creators willing to publish when others don't.
What is a good LinkedIn engagement rate?
For creators with 1k to 10k followers, the typical engagement rate is 0.7% (half of them do better, half worse) and the 75th percentile is 1.8%. Engagement rate falls as audiences grow, so a "good" rate is always relative to your follower tier. Measured across 7,565 creators on a 60-day rolling window, the typical rate falls roughly 12× from the smallest accounts to the largest: the middle creator with <1k followers posts 2.1%, the 1k to 10k tier drops to 0.7%, 10k to 100k accounts to 0.2%, and 100k+ accounts sit at 0.2%. That is why the flat "2% is good" benchmark that circulates in vendor reports is meaningless without follower context: the same rate can be an outstanding figure for a large account and below the typical creator for a small one. Read your own tier in percentiles instead: matching the middle creator makes you typical, clearing the 75th percentile (1.8% in the 1k to 10k tier) beats three quarters of comparable creators, and a sustained rate above the 90th percentile (3.7%) marks genuine outlier performance.
How concentrated is LinkedIn engagement?
The top 1% of posts capture 36% of all engagement, a Gini coefficient of 0.809. LinkedIn engagement is a winner-take-most economy. Measured across 54,749 unique posts over a 60-day window, the reaction ladder shows how steep the climb is: the typical post earns 13 reactions (half of all posts earn fewer), the 90th percentile 114, and the 95th percentile 210, while cracking the top 1% takes 801 reactions and the top 0.1% starts at 4,437. For scale, a Gini of 0.809 is higher than any national income inequality on record. The practical consequence is that averages lie on LinkedIn: a handful of viral outliers drags every mean upward while the typical post reaches a small fraction of the figure. That is why the benchmarks in this report are published as typical values and percentiles: they describe what happens to a normal post, not to the outliers.
Which post opener performs best on LinkedIn?
Posts opening with a personal (I / My / We) hook earn the most engagement (74 average reactions), ahead of the other opener types. Yet the winning opener is rare: only 9.6% of analyzed posts start that way. The most common openers are different: 56.5% open with a statement, averaging 63 reactions, and another 23.8% open with a number, averaging 62 reactions. The weakest opener is the question: question-led posts average just 53 reactions, the lowest of any opener type, and draw the fewest comments (12 per post, versus 23 for the winning opener). Across 43,496 posts analyzed for writing features over the last 60 days, the pattern is consistent: the feed rewards first-person stake and concrete specifics over engagement bait. Openers that promise a real experience or a real number outperform openers that fish for replies.
What do people post about most on LinkedIn?
Content promotion is the most common topic (7% of analyzed posts), averaging 58 reactions per post. What people post most is not what performs best: the next-biggest topics, event promotion (6.2% of posts) and sales & outbound (6.1%), average just 66 and 49 reactions. The engagement flows the other way: personal & community posts, just 1.7% of the feed, average 132 reactions, the highest of any named topic, with career & mindset (93) and founder & startup (92) close behind. Across 43,496 posts sorted into 38 named topics over the last 60 days, the pattern is consistent: promotional content is oversupplied and under-rewarded, while human topics such as careers, leadership and personal stories are undersupplied and overperform. The engagement premium sits in the gap between what the feed is full of and what readers actually respond to. The topics worth claiming are the ones everyone reads and almost nobody writes.
01 Engagement rate benchmarkn=7,565 creators · 60-day rolling window
What a good engagement rate actually is
“2% is good” is meaningless without your follower count. Engagement rate falls as audiences grow, so we benchmark you against your own tier, in percentiles, not averages.
How to read a row: each bar is one follower tier, and the further right a mark sits, the higher the engagement rate. We rank the creators in the tier and show where they actually land, not an average, which a handful of viral posts would drag far above anyone's reality. The scale steps by multiples rather than equal amounts: rates run from 0.2% to well past 10%, and a linear axis would flatten every tier but the smallest into one sliver. Creators with 60-day activity only.
02 When people post, and when it worksn=54,749 posts · 60-day window
Everyone posts at the same time. That's the opportunity.
Post volume piles into weekday business hours, but the typical post's payoff peaks where the crowd isn't. Flip the metric toggle and watch the map invert.
bars = number of posts · figures = posts · reactions on that day's typical post · n=54,749 unique posts over the last 60 days.
03 Posting rhythm60-day posting cadence
How often people actually post
How many times a month do creators really post? The breakdown by follower tier: pick yours and see where your rhythm sits.
bar = creators with ≥1 post in the window · typical = the middle creator's posting cadence in that tier · 60-day posting cadence.
04 The 1% economyn=54,749 posts · 60-day window
The top 1% of posts take 36% of all engagement
LinkedIn engagement is a winner-take-most economy. The Lorenz curve below is what a Gini of 0.809 looks like, and the ladder shows exactly how many reactions each rung costs.
LinkedIn engagement is winner-take-most. The top 1% of posts capture 36% of all engagement, a Gini of 0.809, near-total inequality. The typical post earns just 13 reactions (half of all posts get fewer); breaking into the top 0.1% takes 4,437, 341× more.
share of all engagement · one post in a hundred takes almost half of it
bar lengths are compressed (√ scale) so every rung stays visible: every step up is several times the reactions of the one above · percentiles over unique posts, 60-day window.
05 Reaction fingerprints60-day window
Big posts don't get more likes. They get more love
Every audience has a reaction fingerprint. Watch the mix shift as posts climb into the top 10% and top 1%, and how it differs by industry.
left of the centre line = all industries · right = you · both halves share one scale, so equal bars mean equal shares · industries below n=200 posts omitted.
06 The language of LinkedIn60-day window · 43,496 posts
What everyone's writing, and how
Every English post from the last 60 days, sorted into ~35 topics, plus the words that travel furthest. The topics people post most are rarely the ones that land.
left of the centre line = all posts · right = you · one topic per post, first match wins · 12.9% land in a long tail of niche/one-off posts · both halves share one scale, so equal bars mean equal shares
left of the centre line = all posts · right = you · share of posts containing each term (word-boundary matched, so “AI” excludes “email”) · frequency and engagement rarely line up.
07 How the feed is written60-day window · 43,496 posts
The hook decides who keeps reading
Every post opens one of four ways: a number, a personal line, a statement, or a question. How often each opener shows up, what it earns, and how your own feed compares.
Statements dominate the feed, but the openers people use least (a question, a personal line) tend to earn more per post.
Posts with a link in the body earn less. LinkedIn quietly favours content that keeps people on the feed. (Rows overlap: a post can have both a link and hashtags.)
Most posts end without a call-to-action, yet a direct ask (follow / DM) is the rarest close and the one that travels furthest.
Longer posts tend to earn more per post, but the short one-liners are far more common.
Native video and images pull more reach than a plain text post: the feed rewards something to look at.
08 When people comment
The other half of the feed is replies
Posting is the half everyone measures. The comment clock, when replies actually get written and when yours do, is the half nobody has ever seen.
Your turn
You've seen the feed. Now see yourself in it.
You just read how 11,156 creators actually perform. Add your LinkedIn to run the same engine on your profile. It drops you onto every chart above, right where you land.
- Your rank & percentileyour engagement plotted against all 11,156 creators in this report
- Your posting patternsyour day, cadence and openers laid over the benchmark curves
- Your half of every ledgerthe “you” column fills in: topics, words and how your feed is written
Free · no LinkedIn password ever
FAQ
Frequently asked questions
What is the best day to post on LinkedIn?
What is a good LinkedIn engagement rate?
How concentrated is LinkedIn engagement?
Which post opener performs best on LinkedIn?
What do people post about most on LinkedIn?
How is this report measured?
Computed from 54,749 unique posts across 11,156 active creators (60-day window), rebuilt from the tracked corpus on a daily schedule · this payload generated Oct 21, 2026.
- SAMPLE
- Post metrics are computed over unique posts collected by the GTM Brigade platform; the corpus skews toward B2B creators and their networks, it is not a random sample of LinkedIn.
- SNAPSHOTS
- Engagement counts are point-in-time snapshots and may undercount a post's eventual totals.
- TIMING
- Posting times are UTC unless you switch the heatmap to your local timezone.
- RATE
- Engagement rate = 60-day engagement / followers, computed per creator; percentile bands are shown instead of averages because the distribution is heavily skewed.
- REPOSTS
- Feed activity includes reposted content; a repost-filtered view is coming in the next release.
LinkedIn is a trademark of LinkedIn Corporation. GTM Brigade is not affiliated with LinkedIn. All insights are aggregate statistics.
09 How comments are written
What a reply is actually made of
Length, questions, agreement, emoji, links: every comment sorted the same way the posts above are. Where yours sit on that ladder is in your audit.
But we need your LinkedInto see how you comment