The best time to post on LinkedIn is early morning, but the difference is small. In Scripe's LinkedIn Trend Report 2026, posts published between 6 and 9 am local time earned 4.1% more engagement than the same author's usual post, and posts published between 8 pm and midnight 4.9% less. Monday edged out the other days.
This guide is for anyone who schedules LinkedIn posts, for themselves or for colleagues such as experts and executives, and wants a default slot they don't have to think about again. Below is the data, by industry and language.
How we measured
Each post is compared with its author's usual engagement: the median of up to 20 earlier posts from the previous six months, where engagement means reactions, comments and reposts. +4.1% means posts in that slot earned 4.1% more than that author normally gets. The time-of-day and weekday figures come from 2.2 million public posts from 2024 to 2026 whose author's country is known, so each post can be placed in its author's local time. Local time is set from the author's country, so for countries with several time zones, such as the US, the hours are approximate. The industry and language figures are Scripe's own breakdowns of the same data. The results show associations, not cause and effect.
What is the best time to post on LinkedIn?
Early morning is the best time to post on LinkedIn: in Scripe's data, posts published between 6 and 9 am earned 4.1% more engagement than their author's usual post. Morning, 9 am to noon, is still slightly above the author's usual level. From noon on, every time of day is below it, and late evening is the weakest.
| Time of day (author's local time) | Compared with the author's usual post |
|---|---|
| Night, 12–5:59 am | −0.5% |
| Early morning, 6–8:59 am | +4.1% |
| Morning, 9–11:59 am | +1.2% |
| Midday, 12–1:59 pm | −1.5% |
| Afternoon, 2–4:59 pm | −3.1% |
| Evening, 5–7:59 pm | −4.1% |
| Late evening, 8–11:59 pm | −4.9% |
What is the best day to post on LinkedIn?
Monday is the best day to post on LinkedIn by a small margin, and Saturday is the weakest. Sunday sits right at the author's usual level, which is better than Thursday, Friday and Saturday.
| Day | Compared with the author's usual post |
|---|---|
| Monday | +1.2% |
| Tuesday | +0.8% |
| Wednesday | +0.5% |
| Thursday | −0.8% |
| Friday | −0.8% |
| Saturday | −2.8% |
| Sunday | 0.0% |
The whole week spans about four percentage points. We measured the hour and the day separately, so the data can't say whether early morning wins on every day. With no evidence for another hour, it is a reasonable default on any of them. If Tuesday suits your team better than Monday, post on Tuesday.
How much does the time you post matter?
The time you post matters very little: the best and worst times of day are about nine percentage points apart, from +4.1% to −4.9%. Post length showed a far bigger gap.
In 2026 alone, posts of 300 words or more earned 15% more than their author's usual post, and posts under 80 words 24% less. That gap of about 39 points is more than four times the spread of the whole clock.
So the useful answer is a default, not an optimization project. Pick early morning as your standard slot, keep it, and spend the time on the post itself. When a post is finished, schedule it for the next free morning rather than holding it for a perfect slot.
Why other "best time" studies say something different
Other "best time" studies point to different hours, some to late morning and midday, the most recent to late afternoon and evening, and they are built differently from this one. They use different tools, networks and periods, and none of their pages says whether it compares each post with its author's usual post. That is one likely reason they disagree with this study and with each other.
| Study, as published | Data | Best time it reports | Best day it reports | Each post compared with its author's usual post? |
|---|---|---|---|---|
| Buffer, September 2026 | Over 4.8 million LinkedIn posts sent through Buffer, local time | Weekdays, 3–8 pm | Wednesday | Not stated |
| Sprout Social, March 2026 | About 2 billion engagements across 307,000 profiles on six networks, late November 2025 to late February 2026 | Tuesday to Thursday, roughly 11 am–5 pm | Tuesday to Thursday | Not stated |
| LinkedIn's marketing blog, July 2024 | No data of its own; summarizes studies by HubSpot, Sprinklr and Buffer | Weekdays, working hours | Varies by study | Not applicable |
| This study | 2.2 million posts from Scripe's LinkedIn Trend Report 2026 | 6–8:59 am | Monday | Yes |
Each row describes the study as its own page did when we read it in October 2026: Buffer's study, Sprout Social's study and LinkedIn's article. The sharpest difference is the day: Buffer's page names Monday and Tuesday its weakest days, while Monday came out on top in our data.
When a study adds up the engagement of all posts in a time slot, a slot can win because accounts that get a lot of engagement tend to post then, whatever the hour itself does for them. Comparing each post with the same author's usual post takes the size of those accounts out of the picture. Our comparison has a limit too: it does not control for what each author chooses to post at which hour. We can't see the other studies' raw data, so we can't say which effect explains their results.
Best time to post on LinkedIn by industry
Your industry changes the best day in seven of the nine industries we can measure, and the best time of day in only two. Early morning is the best time in seven of the nine, and in no industry are the best and worst times more than 15 percentage points apart.
| Industry | Authors | Best time | Weakest time | Best day |
|---|---|---|---|---|
| Technology & Software | 5,211 | 6–8:59 am (+2.3%) | 8–11:59 pm (−4.4%) | Monday (+2.0%) |
| Marketing & Advertising | 1,675 | 6–8:59 am (+4.7%) | 8–11:59 pm (−5.9%) | Monday (+1.2%) |
| Business & Consulting | 1,334 | 6–8:59 am (+3.0%) | 12–5:59 am (−7.1%) | Tuesday and Sunday (+1.8%) |
| Finance & Banking | 1,533 | 12–5:59 am (+8.1%) | 8–11:59 pm (−5.5%) | Sunday (+5.0%) |
| Professional Services | 1,514 | 6–8:59 am (+5.7%) | 8–11:59 pm (−8.4%) | Tuesday (+3.0%) |
| Healthcare & Wellness | 772 | 6–8:59 am (+3.0%) | 8–11:59 pm (−3.9%) | Thursday (+1.2%) |
| Education & Training | 684 | 6–8:59 am (+5.8%) | 5–7:59 pm (−6.1%) | Sunday (+2.1%) |
| Real Estate & Construction | 331 | 6–8:59 am (+4.3%) | 12–1:59 pm (−5.2%) | Thursday (+4.3%) |
| Manufacturing & Industrial | 753 | 12–5:59 am (+7.3%) | 2–4:59 pm (−4.6%) | Sunday (+3.7%) |
These figures are Scripe's own breakdown of the report's data and are not in the published report. Treat a difference of a few points inside one industry as a direction, not a rule: each industry rests on hundreds to a few thousand authors, not tens of thousands.
Three industries did best on Sunday: Finance & Banking, Education & Training and Manufacturing & Industrial. Business & Consulting did as well on Sunday as on Tuesday. Two of those three, Finance & Banking and Manufacturing & Industrial, show their best figure before 6 am. That is worth a test if you work in one of them, not a reason to change your whole schedule. Media & Entertainment had fewer than 300 authors, too few for figures of its own.
Best time for German-language posts (DACH)
German-writing authors also did best early in the morning, and their best day was Sunday. For them, early morning is the only time of day above the usual post.
| Time of day and day | German-writing authors | English-writing authors |
|---|---|---|
| Night, 12–5:59 am | −2.1% | −0.3% |
| Early morning, 6–8:59 am | +3.4% | +4.2% |
| Morning, 9–11:59 am | −0.7% | +1.6% |
| Midday, 12–1:59 pm | −4.3% | −1.0% |
| Afternoon, 2–4:59 pm | −4.4% | −2.8% |
| Evening, 5–7:59 pm | −3.5% | −4.0% |
| Late evening, 8–11:59 pm | −5.8% | −4.4% |
| Best day | Sunday, +3.3% | Monday, +1.7% |
| Weakest day | Saturday, −1.0% | Saturday, −3.0% |
The time-of-day figures come from 7,962 German-writing and 43,243 English-writing authors who posted at more than one time of day. We group by the language of the post, not by country, so these figures describe German-language posts, the closest stand-in we have for an audience in Germany, Austria and Switzerland. Like the industry figures, this split is Scripe's own breakdown of the report's data.
For German-language posts, that suggests two adjustments to the default. Keep to early morning rather than the 9 am to noon slot, which already fell below the usual post. And don't treat Sunday as a day off, since it was the best day of the week.
What showed bigger differences than the hour
Three findings from the same data showed bigger differences than the clock: post length, a pause between posts and, for follower growth, how often you post.
- Length showed the widest engagement gap. Posts of 300 words or more earned 15% more than their author's usual post in 2026. Length isn't the whole story: long posts filed as lessons earned less than long stories.
- A break did not hurt. A post after 2–4 quiet weeks earned 7% more than the author's usual post, after a month or more 13% more. A post less than a day after the previous one earned 4% less.
- Below 10,000 followers, busier months brought more new followers. At 500–1,999 followers, a month with 10–19 posts brought 2.2 times the author's average follower gain. It runs both ways: people also post more when something is happening. Above 50,000 followers, volume changes nothing.
One more finding is about timing after you post, not before: 53% of comments arrive within 6 hours and 90% within 3 days, so reply over the following days, not only in the first hour.
If you plan posts for several people, a steady rhythm and a clear strategy deserve more of your attention than the clock: see how to plan a posting rhythm for a team and how to build a LinkedIn content strategy.
How to find your own best time
Start from an early-morning default, compare each post with your own usual post, and change the slot only for a gap that repeats over several months. A difference the size of the ones in this study is unlikely to show up in a few weeks of one person's posts.
- Set a default slot. Early morning, in your own time zone or your audience's.
- Compare each post with your own usual post. A post's raw numbers say more about its topic and format than about its timing, so look at how it did against what you normally get.
- Change one thing at a time. If you move the slot, keep everything else the same and compare whole months, not single posts.
- Look for a pattern that repeats. One strong post at a new time proves nothing.
In Scripe, a Social Media Content System, the Timing & Activity section of Analytics shows your posts by time of day and weekday against your own average (Advanced and Business plans). Next to it sits the industry benchmark from this study, which you can switch by industry and by region. More on measuring what your LinkedIn content brings and on Scripe's analytics.
Plan and schedule your team's LinkedIn posts in Scripe.
Start free trialAbout the data
The figures come from Scripe's LinkedIn Trend Report 2026, which analyzed 3.26 million public LinkedIn posts by about 385,000 English- and German-writing authors from 2024 to 2026. The time-of-day figures use the 2.2 million posts whose author's country is known.
An industry needs at least 300 authors who posted at more than one time of day before it gets figures of its own. Percentages are rounded to one decimal from the underlying ratios.
FAQs

Co-Founder & CTO
Christoph Meise is Co-Founder and CTO at Scripe, where he leads engineering and product development with a focus on building intuitive, high-performing user experiences. With over a decade of engineering experience at multiple companies he combines deep technical expertise with a strong instinct for how technology should actually feel to use. His academic foundation, a Master of Science in Business Informatics from Freie Universität Berlin and a Bachelor of Applied Science in Computer Science from Baden-Wuerttemberg Cooperative State University (DHBW), grounds his engineering approach. He previously co-founded and architected an online platform connecting entrepreneurs with investors, sharpening his focus on building systems that serve real user needs end to end. At Scripe, Christoph has led the product through multiple rebuilds, including a shift to become an official LinkedIn API partner and the launch of a self-learning content agent, work centered on making powerful technology feel effortless for the people using it. Christoph shares his perspective on LinkedIn growth, product development, and building with AI to a following of over 11,000 on LinkedIn.
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