When Is the Best Time to Post on LinkedIn?
There is no single best time to post on LinkedIn that works for everyone. Across 25,150 posts from 66 Flux user profiles, the median engagement barely moves between days — the gap between the best and worst day is only about 30%, far smaller than the popular advice implies. The time that works for you depends on your audience and their timezone, which is why your own posting history beats any aggregate chart.
What you'll learn
- Why the generic "Tuesday–Thursday, 8–10am" advice is unreliable
- What 25,150 real Flux user posts say about day of week and time of day
- Why averages mislead and medians tell a truer story
- The timezone problem that makes aggregate timing data nearly useless for individuals
- How to use Flux's day-of-week chart, time-of-day chart, and heatmap to find your best slots
- How the Projected heatmap suggests times you've never tried
Why is the usual "best time to post" advice wrong?
The advice you've seen everywhere — post Tuesday through Thursday, 8 to 10am — is built on someone else's audience, not yours. It treats LinkedIn timing as a universal constant when it's actually one of the most individual variables in your content strategy.
These rules of thumb come from aggregating millions of posts and reporting the average winner. But averages hide enormous variance, and they ignore the single biggest confound in any LinkedIn dataset: timezone. A blanket "9am" recommendation assumes everyone's audience sits in one place at one time, which is almost never true.
The honest answer is that the day-and-hour you post matters far less than most advice claims, and what little it does matter is specific to you. That's a less satisfying headline, but it's what the data actually shows.
What does the data say about the best day to post?
Saturday posts the highest average engagement, but the typical post barely moves across days. Here's the day-of-week breakdown across 25,150 posts from Flux user profiles (timestamps in UTC):
| Day | Posts | Avg engagement | Median engagement |
|---|---|---|---|
| Sunday | 1,550 | 251.0 | 24 |
| Monday | 4,088 | 201.7 | 29 |
| Tuesday | 4,673 | 191.9 | 30 |
| Wednesday | 4,613 | 183.5 | 30 |
| Thursday | 4,558 | 189.2 | 28 |
| Friday | 4,027 | 209.1 | 28 |
| Saturday | 1,641 | 462.4 | 23 |
(Engagement here means likes + comments + shares. LinkedIn doesn't expose impressions to third parties, so all of this is engagement, not reach.)
Look at the averages and Saturday looks like a slam dunk — 462 nearly triples Wednesday's 184. But look at the medians and the story flips entirely: Saturday's typical post gets 23 engagements, the lowest of any day. Tuesday and Wednesday tie for the best median at 30.
The Saturday average is inflated by a handful of viral posts. Fewer people post on weekends, so one mega-post swings the average hard. The median — the middle post, unaffected by outliers — is the number to trust, and it says day of week is almost irrelevant. The best day is only ~30% better than the worst by median.
What does the data say about the best time of day?
Hourly engagement varies more than daily, but the timezone caveat makes aggregate hour-of-day data unreliable for any individual. The peaks in the Flux user dataset cluster around US business hours (most Flux users are US-based), but the specific hour that works for you depends entirely on where your audience is.
The core problem: LinkedIn doesn't expose the poster's timezone, so every cross-account study collapses to UTC — silently mixing audiences who are awake at completely different real-world hours.
Your audience has a real geography. If you sell to US marketers, their LinkedIn lunch-break scroll happens at a specific local time that no global average will surface. The only dataset where the timezone is correctly anchored is your own posting history, measured against your own audience.
That's the whole case for using your data instead of a chart from a blog post: same audience, same timezone, same content type. Everything that makes aggregate data noisy is held constant.
How do I find my best time to post in Flux?
Open the Timing tab on your dashboard. It has three views, all built from your own posting history and shown in your browser's timezone: a day-of-week chart, a time-of-day chart, and a heatmap.
The day-of-week bar chart ranks your seven days by average engagement, highlights your best day, and labels how far above your overall average it sits. If one day genuinely outperforms for your audience, this is where it shows up — and if your data is thin, bars carry a low-confidence label so you don't overreact to a couple of lucky posts.
The time-of-day chart groups your posts into four-hour blocks so you can see which part of the day lands for you. Four-hour blocks instead of single hours keep the buckets full enough to be meaningful rather than splintering your history into 24 sparse columns.
Both charts are interactive: click any bar to filter the Top Posts table to just that day or time block, so you can read the actual posts behind the number instead of trusting the aggregate.
How do I read the Flux heatmap?
The heatmap crosses both dimensions at once — day of week down one axis, hour across the other — so each cell is a specific day-and-hour slot colored by engagement. Darker cells are your stronger slots. Click any cell to filter the Top Posts table to that exact day and hour and see which posts drove it.
The heatmap has an Actual / Projected toggle, and the difference matters:
- Actual shows only slots you've genuinely posted in. Empty cells are times you've never tried, so the map is honest but full of gaps.
- Projected fills those gaps with a statistical model, estimating how a slot would likely perform based on your day-level and hour-level patterns.
Projected mode is the more useful one for planning. It separates weekday and weekend posts into different groups, winsorizes your data at the 98th percentile so a single viral post can't dominate the picture, and applies circular Gaussian smoothing so neighboring hours inform each other (the hour around your strong slots gets credit too). It needs at least 30 posts before it will project, which keeps it from inventing patterns out of thin data.
How do I use the Projected heatmap to test new times?
Use Projected mode to find dark cells you've never actually posted in — those are the model's bets on slots that would work for you but you haven't tried yet. It's the difference between optimizing within your habits and discovering opportunities outside them.
For example, if you always post Tuesday mornings but the model projects a strong unused Thursday-afternoon cell — inferred from your generally strong Thursdays and your decent late-day performance — that's a low-risk experiment worth running. Post there a few times, then flip back to Actual mode to see whether the real results confirm the projection.
That loop — let Projected suggest, test it, let Actual confirm — is how you turn a guess about timing into something you actually know about your own audience.
Frequently asked questions
What is the best time to post on LinkedIn? There isn't a universal one. Across 25,150 Flux user posts, the median engagement between the best and worst day differs by only ~30%, and hour-of-day data is distorted by timezone. Your own posting history is the only reliable guide.
Is it better to post on weekends or weekdays? Weekends show higher average engagement, but that's driven by a few viral posts on lower-volume days. By median engagement — the typical post — weekends are actually the weakest days for Flux users (Saturday median 23 vs Tuesday median 30). Don't switch to weekend posting on the strength of an average alone.
Why does Flux show timing in UTC anywhere? The aggregate benchmarks in this guide are UTC because LinkedIn doesn't expose posters' timezones, so cross-account data can only be normalized to UTC. Your own Flux charts, by contrast, are shown in your browser's local timezone and labeled accordingly.
Does Flux track impressions or reach? No. LinkedIn doesn't expose impressions to third-party tools, so Flux measures engagement — likes, comments, and shares — for every post. All timing analysis is based on engagement counts.
How many posts do I need before the timing data is trustworthy? The Projected heatmap requires at least 30 posts. Thin slots and low-volume days are flagged with low-confidence labels so you can tell a real pattern from a couple of lucky posts.