Free tool

Best time to post on LinkedIn

Pick your audience and timezone to see when engagement tends to peak. Based on published research, not your account.

Based on aggregate published research, shown in your audience's local time. ★ marks the strongest windows. Your own analytics always beat a generic chart, so check yours and adjust.

Do this for your whole website

Engagement compounds when you post consistently. We turn your whole website into a posting calendar you can actually keep.

Start your 7-day free trial →

What is the best time to post?

Posting time will not save weak content, but it can give good content a better chance to be seen while your audience is actually online. This tool shows the windows when LinkedIn engagement tends to peak, broken down by audience type and adjusted for your timezone, so you can line up your posts with the moments people are most likely to be scrolling.

The times come from aggregate published research across many accounts, not from your own analytics. That is an important distinction. It is a sensible default to start from, especially for a new page with little history, but your own numbers, once you have them, always beat any general rule.

How to use it

  1. Pick the audience type that best matches who you are posting for.
  2. Set your timezone so the suggested windows are shown in your local time.
  3. Use the highlighted peak windows to schedule or publish your posts.

Why general timing data is a starting line, not a finish line

Aggregate research is genuinely useful when you have nothing else. It captures broad patterns, like business audiences being most active mid-morning on weekdays and quieter at weekends, which holds often enough to be a safe default. For a page that is just getting going, following these windows is a better bet than posting at random.

The catch is that your audience is specific and the research is an average of everyone. If you sell to nurses on rotating shifts, or to a global audience spread across timezones, the textbook weekday-morning peak may be wrong for you. Averages hide the very segments that make your audience distinct.

So use this as a hypothesis, then test it. Once you have published a few dozen posts, your own analytics will show when your followers actually engage, and those numbers should override anything here. The right workflow is to start with the general windows, watch your own data, and adjust toward what your audience really does.

Who it's for

A solo creator uses this to pick a default posting time before they have enough history to know their own pattern. A team running a LinkedIn Company Page uses it to set a consistent publishing schedule that the whole content calendar can be built around. RightHandMan fits that planning rhythm, because it turns a company's existing website pages into a backlog of LinkedIn posts ready to publish, which means the question stops being what to post and becomes simply when to post the next ready draft. To go further, measure which of those time slots actually perform using the engagement rate calculator, and turn the timing into a routine with the post scheduler.

Frequently asked questions

Is this based on my account?

No. The windows come from aggregate published research across many accounts. It is a sensible default, but your own analytics, once you have them, always tell the more accurate story.

How accurate is best time to post research generally?

It captures broad patterns well enough to be a useful starting point, especially for newer pages. It is less reliable for unusual audiences like shift workers or globally spread followers, where averages can mislead.

When should I stop using these suggestions?

Keep using them until you have published enough posts to read your own engagement timing, then let your real data lead. The general windows are training wheels, not a permanent rule.

Does the timezone setting change the actual data?

It translates the same peak windows into your local time so you do not have to do the conversion yourself. The underlying pattern is the same, just shown in hours that make sense for you.

Related free tools

Kendall Watt

"RightHandMan read our whole website and handed me three months of on-brand posts in an afternoon. Our page went from our quietest channel to our biggest source of inbound."

Kendall Watt · Workplace AI Institute
Start your free trial →