Best Time to Post on LinkedIn: A Data-Led Test
The best time to post on LinkedIn is the window that performs reliably with your audience and content. LinkedIn does not publish a universal best weekday or hour, and its official analytics documentation does not describe a follower active-times chart. Build your answer from follower locations and the results of your own posts.
That means testing, not repeating the familiar “Tuesday morning” advice as fact.
What LinkedIn analytics can tell you
LinkedIn provides content analytics for Pages and analytics for individual posts. Depending on the account and content, these tools can show impressions or views, engagement, and audience or viewer demographics. Page follower analytics can also help you understand the locations and characteristics of your followers.
Use those sources for two decisions:
- Which time zone matters? Follower and viewer locations help anchor your schedule.
- Which window worked? Post-level results let you compare publication times over repeated tests.
LinkedIn does not document a simple “followers are online at 9 AM” chart in these analytics. Do not fill that gap with invented precision.
Choose test windows
Select two or three windows that match the routine of the people you want to reach. If most followers are in one region, work in their local time. If you serve several regions, include a bridge window or run a separate test for the most important market.
A software company might test before the workday, at lunch, and late afternoon. A career creator might choose a different set. These are starting hypotheses, not published LinkedIn benchmarks.
Run a four-week test
Rotate comparable posts through each window for at least four weeks. Record every result after the same period—48 hours or seven days, for example—and give each window several attempts.
| Test window | Posts tested | Median impressions | Median engagement rate | Median goal action |
|---|---|---|---|---|
| Window A | ||||
| Window B | ||||
| Window C |
Define the goal action before publishing. It might be qualified comments, link clicks, follows, or another outcome shown in your analytics. Medians are more useful than choosing a winner from one viral or unusually weak post.
Compare like with like
Timing is only one variable. A personal story, a hiring announcement, and a product link will not produce the same response even at the same hour.
Record the post type, topic, author, and call to action. Compare text posts with similar text posts and article links with similar links. Do not attribute a stronger result to the clock when the creative or audience was materially different.
There is also no basis for a universal claim that LinkedIn tests every post with a fixed audience slice for exactly 60 or 90 minutes. Judge the result shown in your analytics rather than designing a schedule around an undocumented mechanism.
Schedule on LinkedIn or with Postqued
LinkedIn says individual member posts can be scheduled from 10 minutes to three months ahead. Page posts can be scheduled from one hour to three months ahead, although some content types cannot be scheduled natively.
Postqued helps apply the same tested calendar across networks. It supports LinkedIn text posts, article links, and single-image posts. LinkedIn video publishing is not currently enabled, so use LinkedIn directly for that format.
Start scheduling LinkedIn posts from $9 per month. Every paid Postqued plan includes unlimited scheduled posts across 10 publishing networks, plus API and MCP access.
Postqued does not claim LinkedIn analytics today. Use LinkedIn’s own content and follower analytics to assess the test.
When to retest
Revisit the schedule after a major audience shift, a new content strategy, or a change in the regions you serve. Also retest if the winning window stops producing a stable advantage. A useful schedule should evolve with the audience rather than become a permanent rule.
The answer to keep
LinkedIn has no official universal best time. Use follower locations to choose sensible windows, run a four-week comparison with similar posts, and keep the time that repeatedly delivers the outcome you value.
For a comparable process across networks, see the best time to post on social media.