Best Time to Post on LinkedIn: 6 Pages, 5 Answers

There's no single best time to post on LinkedIn. LinkedIn's own marketing blog conceded as much on 25 July 2024, admitting that the studies it cites contain "some inconsistencies and conflicting data points" and that timing is "not a black-and-white science." As of August 2026, that page still carries no update saying which side won.

Across four independent datasets published between June 2025 and July 2026, the disagreement runs to about seven hours. Buffer says 3pm-8pm off 4.8 million posts. Hootsuite says 8-9am off more than a million, and elsewhere on the same page says 4am-6am. The best explanation isn't the hour. LinkedIn Company Pages show roughly 1.7x more variation between their best and worst day than personal profiles do, per an AuthoredUp analysis of 3M+ posts. Pool the two account types together, which most of these studies do without saying so, and the hour-of-day signal gets buried under a mismatch nobody names.

This isn't a new dataset. It's an audit of the pages currently ranking for "best time to post on LinkedIn," checked against their own sources, with every claim traced back to where it actually came from.

What do LinkedIn's biggest posting-time studies actually say?

Eight pages currently show up for "best time to post on LinkedIn." Four hold their own data. The other four repeat, synthesize, or quote someone else's number as if it were fresh research. Here's what each one actually says, checked against its own page rather than against what other blogs say it says:

Source	Date	Original data?	Sample size	Claimed best window
Buffer	22 Jul 2026	Yes	4.8M posts sent through Buffer	Wed 4pm / Fri 3-4pm; broad 3pm-8pm weekday evenings (the "2026 shift")
Sprout Social	Published 31 Mar 2026, data through 27 Feb 2026	Yes	~2B engagements / 307k profiles (cross-platform total; LinkedIn-only N undisclosed)	Tue 11am-5pm
Hootsuite	19 Nov 2025	Yes	1M+ posts, 118 countries	Tue/Wed 8-9am in its Key Takeaway; 4am-6am one line later; different again per day
Adobe Express	Survey run 12 Jun 2025	Yes (self-reported survey)	n=607 (SurveyMonkey) + city-level search volume	Not a performance claim: 9am-noon on Monday is the most popular self-reported posting slot, not the best-performing one. The actual likes-per-post peak is 6am-9am, and Friday has the highest overall engagement average
Sprinklr	3 Feb 2026	No, none disclosed	Not disclosed anywhere on the page	Tue-Thu ~10am-noon
LinkedIn's own blog	25 Jul 2024, no update since	No, a roundup of HubSpot (2023), Sprinklr, and Buffer	None of its own	"9am-5pm weekdays" in general; the widely-quoted "Tue-Thu 10-11am / 12-1pm" figure is Sprinklr's number, quoted inside LinkedIn's article
Supergrow	Updated 30 May 2026	No, synthesis of Buffer/Sprout/Hootsuite/SocialPilot	~8M posts / 2B engagements (aggregated, all four sources linked out)	Self-contradicts: "Tue-Thu 10am-noon" in its own Quick Answer, then "3pm-8pm now outperforms mornings" three paragraphs later
Kanbox	Updated 9 Apr 2026	No, explicitly attributes its headline figure to Buffer	None of its own; cites Buffer's 4.8M and Sprout's 2B/307k by name	Tue-Thu 10am-2pm

Three things stand out once the sources are laid out like this instead of summarized.

Buffer is the freshest and the most contrarian. Its dataset (4.8 million posts sent through its own scheduler, published 22 July 2026) points at what it calls the "2026 shift": "peak windows shift later into the day," with the strongest broad window running 3pm-8pm on weekdays. That's a genuinely different answer from everyone else in this table.

Sprout Social has the largest headline number, and it's the least LinkedIn-specific one. "Nearly 2 billion engagements across 307,000 social profiles" is a cross-platform total spanning six networks. The post never states how many of those profiles or engagements were LinkedIn's. Every LinkedIn cell in Sprout's table is backed by an unstated fraction of that headline figure.

Then there's Hootsuite, which cannot agree with itself. Its Key Takeaway and its FAQ both say the best time is 8-9am on Tuesdays and Wednesdays. One line in the body of the same article says early morning, 4am-6am, on those same two days. Its per-day sections then give a third set again: Tuesday 6-8am, Wednesday 9am, Friday 8pm. That is three answers on one page, off one dataset of over a million posts localized across 118 countries, published November 2025.

Take Hootsuite's own headline figure of 8-9am and set it against Buffer's 3pm-8pm and the gap is still about seven hours. Same platform, both samples in the millions, both dated within the last nine months, pointing at opposite halves of the working day.

Zoom out further and the picture shrinks again. Six of these are structurally comparable, page-length competitor guides: LinkedIn, Sprout, Buffer, Supergrow, Sprinklr, and Adobe. Strip out the one number that's just borrowed, LinkedIn's headline figure is Sprinklr's, quoted, and six pages collapse to five distinct claims. Not one of them publishes a sample size, confidence interval, or reproducible query for a single cell.

Why do LinkedIn posting-time studies disagree with each other?

Of the eight sources above, four don't have their own data at all. Kanbox explicitly attributes its headline 4.8M figure to Buffer. Supergrow synthesizes four external sources and never reconciles the numbers they disagree on. LinkedIn's own blog is a roundup of a 2023 HubSpot report plus Sprinklr and Buffer, with no LinkedIn data of its own. Sprinklr discloses no sample size anywhere on its page.

Readers land on eight confident-sounding pages and assume eight studies corroborate each other. Underneath, at most four hold independent data, and two of those four are describing different account populations, which is the subject of the next section.

That's a different claim from "nobody admits the studies disagree," which would be false. LinkedIn's own rank-1 page does exactly that, verbatim: "there are some common themes but also some inconsistencies and conflicting data points, serving to illustrate that this is not a black-and-white science." Buffer nods at it too, and names LinkedIn specifically: "It's worth noting that not all research agrees here. LinkedIn's marketing blog highlights studies where Tuesday is actually one of the most active days on the platform."

Neither one resolves it, though. LinkedIn's concession is dated 25 July 2024, cites a 2023 HubSpot report, and quotes Buffer's since-superseded numbers (Wednesday 2pm, Friday 1pm, Sunday 7am, not Buffer's current figures). It has never been updated, and it says nothing about the 2026 morning-versus-evening split, because that split didn't exist when it was written. Buffer's one-sentence nod points back at that stale 2024 page, not at Sprout Social's current, live disagreement.

Supergrow is the cleanest evidence that nobody has actually adjudicated this. Its own "Quick answer" H2 states: "Tuesday to Thursday, 10 am to noon." Three paragraphs later, under its own H3 headed "The 2026 Shift: Evening Is Now Outperforming Morning," it states: "Late-afternoon and evening hours 3pm to 8pm are now generating stronger engagement than morning hours throughout the week." Both are presented as the answer, on the same page, in the same week. It ingested Sprout's morning finding and Buffer's evening finding and printed both without reconciling them.

So the honest version of this gap isn't "nobody acknowledges the contradiction." It's that nobody has adjudicated the 2026 morning-versus-evening split with fresh data. LinkedIn conceded a 2023-era conflict and stopped looking. Buffer nods at that old concession instead of the live one. Supergrow prints both answers and moves on.

Why does post timing matter more for LinkedIn Company Pages than personal profiles?

There's a mechanism that explains most of the disagreement above, and none of the six competitor pages surfaces it: account type.

AuthoredUp is the one source in this set that breaks its sample out by account type instead of pooling everything together. Across more than 3 million posts (published 14 November 2024, updated 8 July 2026), personal profiles show a sub-10% spread between their best and worst day of the week. Company Pages show something else entirely: Wednesday performs roughly 1.7x higher than Sunday, and weekdays beat weekends by around 48%.

That single split does a lot of explanatory work. A dataset skewed toward Company Pages will show a strong, confident midweek signal. Sprout Social's own methodology says the data "encompasses over 30,000 Sprout Social customers globally" spanning "various plan types, industries and locations," a paying scheduling-tool customer base, which skews brand- and Page-heavy relative to LinkedIn overall. A dataset skewed toward personal or creator profiles will show almost no day-of-week effect at all, because there isn't one to find. None of the six competitor pages breaks its sample out this way. Sample composition, Pages versus profiles, is the undisclosed variable driving the disagreement. The hour isn't.

There's a secondary contributor worth naming too: scheduling-tool selection bias. Buffer, Hootsuite, and Sprout only see posts routed through their own schedulers, which structurally skews the sample toward planned business content and away from spontaneous personal posting. Buffer's own phrasing, "posts sent through Buffer," concedes this without examining what it does to the result.

Metric definitions compound the problem. Buffer counts engagement as reactions, comments, and reposts. Sprout Social never defines the term in its own methodology. Sprinklr, which has no dataset at all, tells readers to track "impressions, engagement rate, click-through, and dwell," a broader and differently weighted basket than either of the other two. A percentage from one source isn't comparable to a percentage from another; they're measuring different things under the same label.

There's also a second, independent reason hour-of-day determinism is weaker than the vendor charts imply. LinkedIn's own engineering team described its 2026 feed rebuild as a model that reads "more than a thousand of your historical interactions," treating them as "an ordered sequence... not just preference." The post states plainly that content "from two weeks ago... might suddenly become relevant" if recent activity suggests renewed interest. Recency is a ranking signal on LinkedIn, not a gate that closes an hour after you post.

Whose local time? The pooling problem nobody names

Buffer, Sprout, Sprinklr, and Supergrow all state a "local time" convention, Buffer spelling it out in a note under its day-by-day table. So the common claim that nobody states a timezone doesn't hold up.

The real gap is narrower and easier to miss. Everyone pools on the poster's local clock. Nobody publishes what that clock is relative to, or a conversion between one study's numbers and another's. A post at 4pm in Mumbai and a post at 4pm in New York reach completely different audiences at completely different points in their day, and "local time" normalization quietly assumes the effect tracks the poster's timezone rather than the audience's. Supergrow is the one page that notices the poster-versus-audience mismatch, with a worked London/EST example, but it frames that as something for the reader to go figure out, not as a limitation of the table it just printed.

What's the best time to post on LinkedIn, day by day?

Instead of naming one best day to post on LinkedIn, here's what every source with a real per-day breakdown actually says, with each source's own sample size attached to the row. Not one competitor page does this: Buffer, Sprout, and Sprinklr all publish per-day numbers, but none states how many posts back any individual day.

Day	Recommended window	Source	Sample size
Monday	10pm, 5pm, or 9pm (three ranked times)	Buffer	4.8M posts (headline total; not broken out per day)
Monday	1pm-2pm	Sprout Social	~2B engagements / 307k profiles (cross-platform total; LinkedIn-only N undisclosed)
Monday	8am-11am and 2pm-4pm	Sprinklr	Not disclosed
Tuesday	4pm, 5pm, or 10pm	Buffer	4.8M posts (headline total)
Tuesday	11am-5pm	Sprout Social	~2B / 307k (cross-platform total)
Tuesday	6am-12pm	Sprinklr	Not disclosed
Tuesday	6am-8am	Hootsuite	1M+ posts, 118 countries
Wednesday	4pm, 3pm, or 5pm	Buffer	4.8M posts (headline total)
Wednesday	11am-4pm	Sprout Social	~2B / 307k (cross-platform total)
Wednesday	12pm-2pm	Sprinklr	Not disclosed
Wednesday	9am	Hootsuite	1M+ posts, 118 countries
Thursday	5pm, 7pm, or 9pm	Buffer	4.8M posts (headline total)
Thursday	11am, and 1pm-5pm	Sprout Social	~2B / 307k (cross-platform total)
Thursday	10am-2pm	Sprinklr	Not disclosed
Friday	3pm, 4pm, or 5pm	Buffer	4.8M posts (headline total)
Friday	11am, and 1pm-2pm	Sprout Social	~2B / 307k (cross-platform total)
Friday	8am-10am and 1pm-2pm	Sprinklr	Not disclosed
Friday	No specific window published; highest overall average engagement of any day in this dataset (125 likes / 36 comments / 19 shares)	Adobe Express	n=607 self-reported survey
Saturday	9am, 6pm, or 10pm	Buffer	4.8M posts (headline total)
Saturday	5am-6am	Sprinklr	Not disclosed
Saturday	No specific window published; marked "Avoid posting / Lowest" without a time range	Sprout Social	~2B / 307k (cross-platform total)
Sunday	10pm, 9pm, or 6am	Buffer	4.8M posts (headline total)
Sunday	~6am	Sprinklr	Not disclosed
Sunday	No specific window published; marked "Avoid posting / Lowest" without a time range	Sprout Social	~2B / 307k (cross-platform total)

None of these sample sizes are broken out per day or per cell by their own source. They're each study's overall headline N, repeated here next to every row so you can weigh how much evidence actually backs a given claim. That's deliberate, and it's the one thing none of the six competitor pages does. Notice, too, that Saturday and Sunday aren't blank: Buffer and Sprinklr both publish specific windows for the weekend, even though Sprout only marks those two days "Avoid posting" without giving a time. If your Page or profile is one of the exceptions that performs on a Sunday, "avoid posting" isn't a data point, it's a shrug.

Reading the table across rather than down is also instructive. Buffer's evening windows (Wed 4pm, Thu 7pm, Fri 3-5pm) sit almost entirely outside Sprout's and Sprinklr's late-morning-to-early-afternoon windows for the same days. That's the ten-hour disagreement from the section above, laid out day by day instead of asserted as one number. The best time and day to post on LinkedIn, by this table, depends entirely on which study's population resembles your account, which is exactly why the account-type mechanism matters more than any single cell here.

How to figure out your own best time to post on LinkedIn

Three practical questions, roughly in order of how much they actually move the answer.

Work out whether you're optimizing a profile or a Page first

This is the single highest-leverage decision in this whole post, and it's the one none of the six competitor pages tells you to make first.

If you're posting from a personal profile, the account-type finding above means the day-of-week effect is small: under a 10% spread between your best and worst day, per AuthoredUp's numbers. Agonizing over Tuesday versus Thursday is not where your effort should go.

If you manage a Company Page, the midweek effect is real and worth planning around: roughly 1.7x more engagement on a strong Wednesday than a weak Sunday. A Page posting schedule that treats every weekday the same is leaving a real, measured effect on the table.

Either way, a pooled vendor average was never going to answer this for your specific account, because it was never measuring your specific account. The only way to actually answer "best time to post" for your audience is to look at your own LinkedIn post history and see what your data says before writing a single line of analysis code yourself.

How often should you post on LinkedIn?

Frequency and timing are two separate levers, and pooling them together is a separate mistake from pooling account types. None of the sources above give a reliable, sourced answer to "how often," even though Sprinklr's own FAQ asks the question directly ("How often should I post on LinkedIn to maximize engagement?") without citing any data behind its answer.

If you're trying to figure out cadence rather than clock time, that's a genuinely different question, and it's the one our TikTok posting-frequency study tackles directly for a different platform. It's worth reading as the cross-platform counterpart to this post specifically because it doesn't try to answer "when," only "how often." The two questions get conflated constantly, and they shouldn't be.

LinkedIn's own advice: substance over timing

The strongest counter-position in this entire SERP doesn't come from a practitioner quote pulled out of a Perspectives thread. It comes from LinkedIn itself: "When it comes to getting your content seen on LinkedIn, the timing is often less important than the substance." And, on testing rather than trusting a chart: "there's no substitute for testing when it comes to finding the sweet spot that best suits your audience."

That's a stronger source than an anonymous quote, and it's backed by a real number: AuthoredUp's sub-10% best-to-worst-day spread for personal profiles. If you're an individual poster, not a Page, the evidence says LinkedIn is right, and timing is a smaller lever than what you actually write.

This post is the LinkedIn-specific companion to our cross-platform best-time-to-post study, which covers TikTok, Instagram, YouTube, and Reddit and explicitly excludes LinkedIn. If you're optimizing timing across more than one platform, that's the one to read. This one exists because LinkedIn's audience and algorithm behave differently enough to need their own treatment.

Frequently asked questions about LinkedIn posting times

What is LinkedIn golden hour?

LinkedIn's "golden hour" is a creator-coined term for the 60-90 minutes right after you publish, when early engagement is believed to shape how far a post gets distributed. No source in this scan defines or confirms a specific window; it's folklore, not a LinkedIn-published metric. What LinkedIn does confirm is that engagement actions are ranking inputs. Its Feed ranking help page says the system weighs "hundreds of signals," and its 2026 engineering post confirms interactions matter. It just never names a specific time window.

What is the 3/2/1 rule on LinkedIn?

It's a creator content-mix convention, not a LinkedIn-official rule, and not a timing rule at all. Incompatible versions circulate: a 3 industry-posts / 2 personal-insight / 1 personal-story weekly split, and a 3 educational / 2 emotional / 1 promotional weekly split. No LinkedIn source defines it, and none of the six competitor pages scanned for this post answers this question at all, which is worth knowing if you've seen it cited as settled advice.

Does it really matter what time I post on LinkedIn?

More for Company Pages than for personal profiles. AuthoredUp's numbers show roughly 1.7x more variation between a Page's best and worst day than a personal profile sees, where the spread is under 10%. LinkedIn's own position is that substance matters more than timing. And four large, independent datasets disagree with each other by about seven hours, Buffer's 3pm-8pm against Hootsuite's headline 8-9am, with Hootsuite giving three different answers on its own page. That spread is itself evidence the timing effect is smaller than the vendor charts make it look.

Is it good to post on LinkedIn at night?

Buffer's newest data (July 2026) shows a "2026 shift" toward evening, 3pm-8pm, outperforming mornings, but that's early evening, not late night. No large dataset in this set supports posting after roughly 10pm, and Adobe's survey found late-night posts among the lowest-performing for average likes. If your audience spans time zones, state which one you mean: "night" for one audience is morning for another, the same pooling problem covered above.