Best Time to Post on LinkedIn
LinkedIn is a workday platform: engagement concentrates Tuesday through Thursday during business hours, with a strong spike before work and at lunch. Weekends are the quietest of any major network — most professionals simply aren't there.
| Day | Best slots | Also good |
|---|---|---|
| Monday | 8 AM10 AM | 11 AM12 PM |
| Tuesday | 8 AM10 AM12 PM | 7 AM2 PM |
| Wednesday | 9 AM10 AM | 8 AM12 PM2 PM |
| Thursday | 8 AM10 AM12 PM | 9 AM1 PM |
| Friday | 8 AM9 AM | 11 AM1 PM |
| Saturday | 10 AM | 9 AM11 AM |
| Sunday | 6 PM7 PM | 5 PM |
These windows are aggregated from public social-media engagement studies and converted from US Eastern Time into your local zone. Treat them as a strong starting point, then check your own analytics — your specific audience is always the final word.
How to use it
- 1
We detect your time zone
Every slot is converted from the study's reference zone into your local time automatically.
- 2
Check today's best slots
The highlighted card shows the strongest posting times for the current day.
- 3
Plan the week
Use the full table to schedule content on the best day-and-hour combinations.
- 4
Verify with your analytics
Post consistently, then confirm against your own audience insights.
When is the best time to post on LinkedIn?
Tuesday–Thursday 8–10 AM and around noon are the most reliable windows; Wednesday mid-morning is the single strongest slot.
The single most important thing to know is that "best time" is relative to your audience's time zone, not the studies that report it. That is why this tool converts every recommended slot into your local time — so a "9 AM" tip actually lines up with when you should hit publish.
Times to avoid
Weekends and weekday evenings after 6 PM see a fraction of weekday engagement.
Low-traffic windows are not forbidden — they just start with a smaller initial audience, which matters most on platforms where early engagement influences distribution. If a quiet slot is the only time you can post consistently, consistency still wins over a "perfect" time you can never hit.
Why posting time matters on LinkedIn
Most social platforms weigh the engagement a post earns in its first minutes and hours. Publishing when your followers are already active gives a post the early likes, comments, and watch time that signal the algorithm to show it to more people. Posting into a dead window means competing later from a colder start. Use these windows as a schedule, keep your cadence steady, and let your own analytics fine-tune the details over time.
Frequently asked questions
What is the overall best time to post on LinkedIn?+
Tuesday through Thursday between 8 AM and noon — with Wednesday mid-morning the single most reliable slot. This page converts those windows into your local time zone automatically.
What is the best time to post on LinkedIn today?+
Check the highlighted “today” card at the top of this page — it shows the current day's strongest slots, already adjusted to your local time zone.
Why do business hours dominate on LinkedIn?+
LinkedIn is checked at desks: before meetings start, at lunch, and between tasks. Its feed also weighs early engagement from your network — and your professional network is awake and scrolling during the workday, so posts published then compound fastest.
Should I post on LinkedIn on weekends?+
Generally no — weekend engagement is a fraction of weekday levels for most professional niches. The exception is thought-leadership content for founders and job-seekers, which can do fine on Sunday evening as people gear up for the week.
How often should I post on LinkedIn?+
Two to five posts a week beats daily posting for most accounts. LinkedIn's feed gives posts a long shelf life (a good post surfaces for days), so quality and consistency matter more than volume — and posting twice on the same day splits your own reach.
Should I trust my own analytics instead?+
Once you have volume, yes — LinkedIn's post analytics show when your followers are active. Use these general windows as a starting schedule, then shift toward what your own data says.
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