LinkedIn Engagement by Day of the Week
The day you publish moves LinkedIn engagement far less than most calendars assume. Across 63,732 posts, weekday medians sit in a narrow band: Monday 42.3, Wednesday 40, Thursday 40, Friday 39, Tuesday 38. Saturday and Sunday read higher at 57 and 56, but only 183 and 169 accounts post enough at the weekend to enter those rows against roughly 370 on a weekday, so the weekend figures describe a small and unusually active group rather than a scheduling opportunity.
Last updated: September 2026 · Next update: December 2026 · Methodology
The weekday band, measured
Highest weekday
42.3
Monday, 356 accounts, 10,462 posts
Lowest weekday
38
Tuesday, 374 accounts, 11,639 posts
Spread across the week
4.3
Reactions and comments between best and worst weekday
Engagement per post by publishing day
| Day | Bottom 25% | Median |
|---|---|---|
| Monday | 14.9 | 42.3 |
| Tuesday | 13 | 38 |
| Wednesday | 12 | 40 |
| Thursday | 13 | 40 |
| Friday | 12.4 | 39 |
| Saturday | 20.5 | 57 |
| Sunday | 17.5 | 56 |
Computed on 2026-09-09 with a within-account query that mirrors benchmark_within_sender(): each account's own median for that weekday first, then percentiles across accounts. An account needs at least 10 posts on a given day to enter that row, and every row clears the 20-account floor. These are raw counts per post, not engagement rates, and the query does not split by time of day.
How much volume each day carries
| Day | Posts in sample |
|---|---|
| Monday | 10,462 |
| Tuesday | 11,639 |
| Wednesday | 11,669 |
| Thursday | 11,473 |
| Friday | 10,218 |
| Saturday | 4,442 |
| Sunday | 3,829 |
Shares are of the 63,732 posts that carry a parseable publish date and clear the per-day floor. Weekends hold 13% of the volume and roughly half the accounts, which is the single most important fact for reading the weekend medians in the table above. This page counts reactions and comments per post. Our /stats/linkedin-post-frequency page reports that weekend engagement RATES drop 40% to 60% against mid-week, and both can hold at once: the small group who post at weekends collect more reactions per post while converting a smaller share of a smaller audience. Use the rate figure for scheduling advice and this one for what a weekend post typically collects.
Why the weekend numbers read high
The weekend sample selects for the most committed accounts
183 accounts post enough on a Saturday to enter that row against 381 on a Wednesday. The accounts that keep publishing at the weekend are the ones already running a habit, and habit is the strongest predictor of engagement in this whole corpus.
Less competition, smaller audience, similar net
Fewer posts compete for the same feed slots at the weekend, and fewer readers open the app. The two effects run against each other, which is why the weekend edge is a gap of around 15 rather than a multiple.
Raw counts are not engagement rates
This page counts reactions and comments per post. It does not divide by impressions, and Creator's corpus cannot, because impressions are present on only 1,679 posts across 13 accounts. A day can hold its raw count while its rate moves.
The table has no time-of-day dimension
Publishing hour is not recorded reliably enough across the corpus to cut on. Guidance about morning windows is a separate claim, measured differently, and nothing on this page confirms or contradicts it.
How to use the day-of-week data
- 1
Stop optimising the day and start protecting the cadence
The spread between the best and worst weekday is 4.3 reactions and comments on a median of about 40, roughly 11%. Moving from three posts a week to five is worth far more than moving Tuesday to Monday.
- 2
Pick days you can hold for a quarter
Accounts contributing 100 or more posts to this corpus run a median of 54 against 34 overall. The days you can sustain beat the days a chart prefers.
- 3
Test the weekend on your own account before believing the row
The weekend medians come from a third of the accounts. Publish four weekend posts over eight weeks and compare against your own weekday median rather than against 57.
- 4
Compare like with like on format
If your weekend posts are personal and your weekday posts are text-only work notes, you are measuring format and calling it day. Hold the format constant while you test the day.
- 5
Judge on 10 posts per day slot
Every account in the table above contributes at least 10 posts on that weekday. Under that, one strong post moves your own daily median enough to make the comparison meaningless.
Frequently asked questions
How much does LinkedIn engagement vary between weekdays?
Very little. Measured across 55,461 weekday posts, medians run Monday 42.3, Wednesday 40, Thursday 40, Friday 39 and Tuesday 38, a spread of 4.3 reactions and comments on a base of about 40. These are raw counts per post rather than engagement rates, and the query does not split by time of day, so it neither confirms nor contradicts guidance about morning publishing windows.
Do LinkedIn posts published at the weekend get more engagement?
In raw counts they read higher, at a median of 57 on Saturday and 56 on Sunday against roughly 40 on a weekday. The reason is who posts, not when. Only 183 accounts clear the sample floor on Saturday against 381 on Wednesday, and the accounts that publish at the weekend are the most consistent ones in the corpus. Treat the weekend rows as a description of that group rather than as a scheduling recommendation.
Why do so few accounts post on LinkedIn at the weekend?
Weekends carry 13% of the 63,732 posts in this sample and roughly half as many active accounts as a weekday. Most B2B publishing runs on a working-week calendar, and scheduling tools default to weekdays. That volume gap is what makes weekend medians unstable and why they should not be read as a lift.
Does Monday really beat Tuesday on LinkedIn?
By 4.3 reactions and comments at the median, which is around 11%. Monday sits at 42.3 across 356 accounts and Tuesday at 38 across 374. That difference is smaller than the gap between a post with media and one without, which is 57 against 27.8 in the same corpus. Format is the bigger lever.
Should I judge a LinkedIn post by the day it was published?
No. Compare a post against your own median for that weekday, using at least 10 posts on that day, which is the floor every row on this page clears. A single Tuesday post that underperformed says nothing about Tuesdays. The bottom quartile on every weekday sits between 12 and 14.9, so a weak post is a weak post on any day.
How many posts per weekday do I need before the day matters?
At least 10 on that specific day, which is the floor used to build these rows, and 20 is safer. Under 10, one strong post moves your daily median far enough to invent a pattern that is not there. Most accounts should judge cadence and format first and only look at days once both are stable.
Can Creator compute engagement rate by day of week?
No. Rate needs impressions in the denominator, and impressions are present on only 1,679 posts across 13 accounts in the corpus, well below what a seven-way split would need. Every figure on this page is a raw count of reactions plus comments per post, computed with each account's own median taken first.
Does posting every weekday beat picking the best day?
Yes, on this evidence. The gap between the strongest and weakest weekday is about 11%. The gap between the corpus median of 34 and accounts contributing 100 or more posts is 34 to 54, around 59%. Volume and consistency outrank day selection by a wide margin.
Methodology
Day-of-week figures come from a within-account query over Creator's LinkedInPost table, run on 2026-09-09, mirroring the benchmark_within_sender() method: each account's own median for a given weekday first, then the 25th, 50th and 75th percentile across accounts.
An account must contribute at least 10 posts on a weekday to enter that weekday's row. Every published row clears the 20-account floor. The day is taken from the stored publish date, so it reflects the date LinkedIn recorded rather than the poster's local calendar.
Sample: 63,732 posts carrying a parseable publish date and clearing the per-day floor. 55,461 of those are weekday posts and 8,271 are weekend posts, which is why the weekend rows carry roughly half as many accounts.
These are raw counts of reactions plus comments per post. They are not engagement rates. Impressions appear on only 1,679 posts across 13 accounts in the corpus, far too few to support a seven-way rate split.
There is no time-of-day dimension. Publishing hour is not recorded consistently enough across the corpus to cut on, so nothing here speaks to morning or afternoon publishing windows.
All rows on this page are computed from the Creator LinkedInPost dataset on 2026-09-09 using a within-account day-of-week query that mirrors benchmark_within_sender(). No compiled range appears on this page.
Understand the terms
Posting Frequency
How often a single profile publishes.
Content Calendar
The schedule that fixes which days a profile publishes.
Early Engagement Window
The first hour after publishing, when distribution is decided.
Engagement Rate
Reactions plus comments plus shares, divided by impressions.
Organic Reach
Distribution earned without paid promotion.
Benchmark
A reference figure you judge your own performance against.
LinkedIn Content Playbook
The weekly system behind the accounts in the top quartile of this dataset.
More LinkedIn benchmarks
LinkedIn Post Frequency Benchmarks →
How often to publish, and what volume is worth.
How Much Engagement Should a LinkedIn Post Get? →
The full computed distribution across 433 accounts.
LinkedIn Engagement by Post Type →
The lever that moves more than the calendar does.
How Long Do LinkedIn Posts Get Impressions? →
The tail that keeps running after publish day.
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