What is the best time to post on LinkedIn?

If you need a starting point, try Wednesday at 4 p.m. in your audience’s time zone: it was the strongest slot in Buffer’s September 2026 analysis. Compare it with a second time on your own account before making it your regular schedule. The useful question is whether that time helps your posts reach the people you want to talk to.

What do posting-time studies actually show?

The research gives you candidates to try, and the findings vary. Check the date of the underlying analysis before copying a timetable.

Source	Finding to consider	Research context
Buffer	Wednesday at 4 p.m.; a broader weekday window of 3 p.m. to 8 p.m.	September 2026 article analyzing 4.8 million posts sent through Buffer
CoSchedule	10 a.m., 11 a.m. and noon lead its overall hourly ranking	Page updated in September 2026, citing research conducted in mid-2022

CoSchedule’s research page recommends applying its times in your primary audience’s time zone. Buffer also explains its results in local time. The updated year in a headline alone does not tell you when a study collected its data.

These are observations from the publishers’ samples. They do not establish what would happen if you moved the same post to a different hour. The accounts, topics and audiences may also differ between time slots.

LinkedIn’s own timing article, published in July 2024, discusses conflicting findings across studies. That is a useful reason to check the original sources and run your own comparison. Keep the source date beside any benchmark you save.

Which time zone should you use?

Write down the audience before you pick the hour. For a founder selling to finance teams in New York, a New York business day is a sensible starting assumption. For someone hiring engineers in Berlin, Berlin may be the more useful reference. These are planning examples; your customers and audience data should guide the choice.

Use a named time zone or city in your calendar, such as America/New_York or Europe/Berlin. A note that says only “Wednesday at 4” leaves room for a scheduling mistake. Check the displayed time again when travelling or when the clocks change.

If your audience spans several regions, choose the group that matters most to the post. A hiring post and a customer tutorial can have different intended readers. Avoid averaging every region into one time that has no clear audience behind it. Record the intended audience with the post so you can interpret the result later.

How can you compare two posting times?

Start with two times you can sustain. For an initial comparison, we suggest 10 a.m. and 4 p.m. in your chosen audience time zone. These are candidates drawn from the different research findings above. Use your existing schedule as one candidate if it already produces useful conversations.

Here is a planning example for someone who publishes twice a week:

Week	Wednesday	Thursday
1	10 a.m.	4 p.m.
2	4 p.m.	10 a.m.
3	10 a.m.	4 p.m.
4	4 p.m.	10 a.m.

This gives each time four posts, spread across both weekdays. It avoids assigning every morning post to one day and every afternoon post to another. Eight posts are a small exploratory sample, so the schedule organizes the work without promising a statistically reliable answer.

Choose the topics before assigning them to time slots. Distribute your strongest ideas across both times. Keep the format and purpose reasonably similar: useful text posts about customer problems make a clearer comparison with one another than a hiring announcement against a product video. You can use a coin flip to decide which of two comparable drafts goes into each time slot.

Write fresh posts for the comparison. Repeating an identical post introduces the question of whether people have already seen it. For help making the drafts useful on their own, see our LinkedIn post best practices.

What should you record for each post?

Keep a small log you will actually update. Use the same measurement age for every post, such as seven days after publication. Seven days is a practical review choice for this example; posts can continue collecting activity afterwards.

Record these fields:

• The post link, publication date, time and time zone.
• The intended audience, topic and format.
• Impressions and members reached at the chosen review age.
• Reactions, comments and reposts at that same age.
• Relevant enquiries or conversations you can connect to the post.
• Anything unusual, such as a major announcement, a large-account repost or paid promotion.

LinkedIn’s post analytics documentation distinguishes impressions, which count displays, from members reached, which counts distinct members and Pages. It also describes post-level profile activity and social engagement, and says the analytics are estimates. Use the fields available for your post type and leave unavailable values blank.

Pick the main measure before you review the results. For a reach experiment, members reached is a useful candidate. If the business goal is conversations with potential customers, also record those conversations and what made them relevant. A large impression count alone cannot tell you whether the right people contacted you.

How do you choose which time to keep?

Compare the posts in each time slot at the same age. Look at the individual results as well as the median, the middle value after you sort them. With an even number of posts, the median is the average of the two middle values. This makes it easier to see whether one unusually large result dominates your impression of the schedule.

Keep unusual posts in the log and explain them. If one post received paid promotion, evaluate its organic comparison separately where the data allows it. If you cannot separate the effects, mark that comparison as uncertain. Avoid quietly dropping a poor result because it weakens your preferred time slot.

Use the pattern to choose a provisional schedule. If one time repeatedly produces useful reach and relevant conversations across comparable posts, give it more room in your next calendar. If results are mixed, keep the time you can manage reliably and collect more observations.

This comparison cannot isolate timing completely. Topic quality, audience growth and events outside your control still change between posts. Revisit the choice when your audience, content format or business goal changes.

Should you test evenings or weekends?

Consider them when they fit your intended readers or when your own history gives you a reason to try. Keep the first comparison small enough to learn from. Adding mornings, lunches, evenings and weekends at once spreads a modest posting volume across too many groups.

Once you have a workable weekday baseline, add one new candidate. Compare it with the time you already use, keeping the audience and content purpose similar. For a weekend comparison, note that both the day and the hour may change. Describe the result as a preference for that combination of day and time.

Choose a time when you can also return to the conversation. That is a practical way to answer people who respond, with no promise of an algorithm bonus.

How can you prepare posts before the chosen time?

Draft ahead so the calendar does not decide what you say at the last minute. Check the audience, main point and any product claim before you put a post into the schedule.

In SignalPost, you can choose a date, time and time zone for a LinkedIn post in the schedule. Our guide to scheduling LinkedIn posts covers that workflow. The research comparison above helps you choose the times to try.

Before scheduling your next draft, open the free LinkedIn text formatter to check its preview and copy the text. It works without an account. Use styled letters sparingly because they can be difficult for screen readers, and treat the preview’s fold as approximate. Then record your chosen time zone and add the post to your comparison log.