Best Times to Post on Social Media: What 50 Million Posts Tell Us
Written by: Tim Eisenhauer
Last updated:
What 50 million posts say about when to post on social media
Buffer analyzed 14 million Facebook posts and says Thursday at 9 a.m. Hootsuite analyzed 1 million posts across 118 countries and says Tuesday at 9 a.m. Sprout Social processed 2.7 billion engagements across 463,000 profiles and says Tuesdays through Thursdays, broadly. Buffer analyzed another 9.6 million Instagram posts and says evenings dominate. Sprout Social looked at the same platform and says late mornings win.
They can’t all be right. And they all sell scheduling tools.
Key takeaways
- Tuesday through Thursday is the safest bet on every platform. This is the one finding that holds across virtually every major study — midweek outperforms weekends for business accounts.
- The exact hour doesn’t matter nearly as much as the studies imply. Buffer says 9 a.m. Hootsuite says 10 a.m. Sprout says 11 a.m. The difference between these is noise, not signal.
- Every study has an incentive problem. Buffer, Hootsuite, Sprout Social, Later — they all sell scheduling software. Their data comes from people already using their tools. That’s not a random sample; it’s their customer base.
- Instagram and TikTok have the most disagreement. Multiple large studies directly contradict each other on whether mornings or evenings win. Both are probably right — for different audiences.
- The real answer is your own analytics. Generic “best times” are starting points, not answers. Your audience, your industry, your content format — these matter more than any chart.
Every social media tool publishes a “best times to post” study. They update it every year. They analyze millions of posts. They produce beautiful charts. And they all happen to conclude that you need a scheduling tool.
I’m going to give you all their data — the specific times, the sample sizes, the platforms, the contradictions. Because the data is useful. Directionally, it tells you something real about when people are on these platforms and when engagement tends to spike.
But I’m also going to tell you where these studies disagree with each other, why they disagree, and what that means for you. Because the gap between “Buffer says 9 a.m.” and “Hootsuite says 4 a.m.” on LinkedIn is not a rounding error. It’s a methodological disagreement that nobody in these studies bothers to explain to you.
The combined dataset across the studies I reviewed covers more than 50 million posts — 14 million on Facebook, 9.6 million on Instagram, 7.1 million on TikTok, over 1 million each on X, YouTube, and LinkedIn, plus Sprout Social’s dataset of 2.7 billion engagements. That’s a lot of data. It’s also a lot of data produced by companies that make money when you believe timing matters enough to pay $20–$50/month for a scheduler.
Hold all of it loosely. There’s enough data here that I’m sure I’ve interpreted something in a way that one of these companies would quibble with — when you’re cross-referencing six platforms, five vendors, and a dozen timezone normalization schemes, there’s plenty of room for reasonable people to read the same chart differently. I’ve done my best to be accurate and to show my sources so you can check. Here’s what it says.
What are the best times to post on social media?
Based on the largest available studies heading into 2026, the general consensus across platforms is: Tuesday through Thursday, between 8 a.m. and 1 p.m. in your audience’s local time for professional and business-oriented platforms (LinkedIn, X, Facebook), and midday plus evenings (11 a.m.–1 p.m. and 6–9 p.m.) for visual and entertainment platforms (Instagram, TikTok). YouTube follows a different pattern — late afternoon (3–5 p.m.) works best as a “publish ahead of evening viewing” strategy.
Does posting time matter for the algorithm?
Yes, but less than you think. Posting when your audience is active increases the chance of quick engagement, and early engagement signals can help algorithms distribute your content further. But this effect varies by platform. TikTok may take up to 24 hours to fully push a video to its audience 1. YouTube’s algorithm does not directly rank based on upload time at all — timing only matters because it affects whether viewers are around to generate those early signals.
Are “best times to post” studies reliable?
Partially. The directional patterns are consistent enough across independent datasets to be meaningful. But every major study has biases: the data comes from brands using scheduling tools (not all users), the metrics vary (engagement rate vs. views vs. median views), and the timezone claims are often vague or contradictory. Treat them as starting priors, not gospel.
Before you look at the numbers
Three things worth knowing about every “best times” study you’ll ever read.
The incentive problem. Buffer, Hootsuite, Sprout Social, Later — they all sell social media management tools. Their studies analyze data from their own customers. That’s not inherently bad — it’s the best available data, and nobody else is tracking this at scale. But it means the sample is brands, businesses, and creators who already use scheduling software. Not a random cross-section of all social media users. If most of these brands schedule posts during business hours, the data will naturally cluster around business hours. That doesn’t mean business hours are objectively “best” — it may just mean there’s more data there. Rival IQ, to their credit, explicitly notes that brands concentrate posting between roughly 10 a.m. and 4 p.m., which may not equal “best” time 2.
The metric problem. Buffer’s TikTok study measures median engagement rate. Their YouTube study measures median views. Sprout Social measures total engagements. Hootsuite measures average engagement per post. A time that maximizes views might not maximize comments or click-through rate. When studies disagree, it’s sometimes because they’re measuring different things and calling them all “best time.”
The timezone problem. This is the single biggest source of contradiction across studies. Buffer claims its times are “universally applicable” — no need to convert. Hootsuite describes its times as “time-zone agnostic” — normalized across 118 countries. What does that mean, exactly? In practice, both are trying to say “apply these times in your audience’s local time.” But when Hootsuite says LinkedIn’s best time is 4 a.m. and Buffer says it’s 10 a.m., the difference is too large to be explained by timezone normalization alone. Something structural is different in how they’re computing it.
Every number below comes from these imperfect, incentivized, methodologically inconsistent studies. I’m using them because they’re the best data available. Just know what you’re looking at.
Instagram has the most disagreement among the major studies. If you only read one source, you’d walk away with a completely different strategy than if you read another.
What the data says:
Buffer analyzed 9.6 million Instagram posts 3 and concluded that evening hours — 6 p.m. to 11 p.m. — “generally see the strongest engagement.” Their standout times: Thursday at 9 a.m., Wednesday at 12 p.m., and Wednesday at 6 p.m. One thing worth noting: the same Buffer page mentions both “9.6 million” and “2 million” posts in different sections, which is an internal inconsistency that doesn’t exactly build confidence in the precision.
Hootsuite analyzed over 1 million posts across 118 countries 1 and landed on afternoon/evening windows: Monday 3–9 p.m., Tuesday 5–8 a.m. and 3–7 p.m., Wednesday 5 p.m., Thursday 4–5 p.m.
Sprout Social, drawing from 2.7 billion engagements 4, tells a different story — more workday-oriented. Tuesday 11 a.m.–6 p.m., Wednesday 11 a.m.–6 p.m. plus 7–9 p.m. They emphasize Tue–Thu as the best days.
Later analyzed 6.5 million posts plus a Reels-specific subset of 124,000 IG Reels and follower activity from 975,000 accounts 5. Though their page contains conflicting date ranges (one section says Jan–Oct 2024, another says Jan–Oct 2025), which makes year-specific comparisons tricky.
Where the studies disagree: The central argument is whether Instagram engagement peaks during business hours or evenings. Buffer says evenings. Sprout says workday. Hootsuite splits the difference with afternoon/evening. This probably isn’t noise — it likely reflects different mixes of account types, industries, and the growing weight of Reels versus feed posts.
Consensus for planning: Treat Instagram as a two-peak platform:
- Midday/lunch: 11 a.m.–1 p.m. (supported by Buffer’s Wednesday noon spike and Sprout’s late-morning blocks)
- Evening: 6–9 p.m. (supported strongly by Buffer and reflected in Hootsuite’s afternoon/evening windows)
- Best days: Tue–Thu, with Wednesday and Thursday repeatedly prominent
Confidence: Medium. The direction (midweek, midday or evening) is solid. The exact hours depend on your audience age, content format (Reels versus carousels versus photos), and whether you’re a B2B or B2C account. If you’re looking for a deeper dive, I wrote a separate post on the best time to post on Instagram that gets into format-specific timing.
Facebook is the one platform where the major studies come closest to agreement.
What the data says:
Buffer analyzed 14 million Facebook posts 6 — the largest single-platform dataset in this review — and highlights Thursday at 9 a.m. as the peak, with strong weekday morning performance from roughly 6–11 a.m.
Hootsuite’s cross-platform study 1 points to Tuesday at 9 a.m. as the single best time.
Sprout Social 4 shows broader weekday windows — 9 a.m.–6 p.m. Mon/Tue, 8 a.m.–6 p.m. Wed/Thu — but the center of gravity is still mornings.
An older anchor study from BuzzSumo analyzed 777 million Facebook Page posts from 2018 7, suggesting evenings produced more engagement. This is worth noting because it’s the largest Facebook dataset ever published and it points in a different direction than the 2025–2026 studies. Facebook’s algorithm and user behavior have shifted meaningfully since 2018, but if your audience skews toward personal-use (friends and family rather than brand followers), evenings may still be relevant.
Consensus for planning:
- Hours (local time): 8–11 a.m. is the high-confidence band. 9 a.m. is singled out by both Buffer and Hootsuite.
- Best days: Tue–Thu, with Wednesday and Thursday often leading.
Confidence: Medium. The morning consensus is strong in recent vendor data. But Facebook’s audience is the most fragmented of any platform — news, groups, marketplace, friends/family, brand pages — and what works for a plumber’s page won’t match what works for a media company. The latest social media benchmarks show how wildly engagement rates vary across industries; timing follows the same pattern. For the full Facebook breakdown — including why organic reach is fighting an uphill battle against paid content — see my post on the best time to post on Facebook.
LinkedIn has the most useful signal of any platform for one reason: LinkedIn itself has published guidance that aligns with the independent data.
What the data says:
LinkedIn’s own marketing blog 8 recommends mid-morning (10–11 a.m.) and lunchtime (12–1 p.m.) on Tue–Thu, with Tuesday as the most active day overall. That’s the rare case of a platform confirming what the vendor studies say.
Buffer analyzed over 1 million LinkedIn posts 9 and found weekdays 7 a.m.–4 p.m. generally strong, with peaks at 10–11 a.m. on Tuesday and Thursday.
Sprout Social 4 shows a similar pattern: Tuesday 8 a.m.–2 p.m., Wed/Thu peaks at 8 a.m. and noon.
Then there’s Hootsuite 1, which reports unusually early hours: 4–6 a.m. on Tuesday/Wednesday. This is the outlier. It could reflect their global normalization across 118 countries pulling in early-morning time zones, or it could reflect a genuine pre-work browsing pattern among certain executive audiences. But given that LinkedIn’s own data says 10 a.m., I’d treat the 4 a.m. recommendation with skepticism.
Consensus for planning:
- Hours (local time): 10 a.m.–1 p.m. is the high-confidence window, anchored by LinkedIn’s own guidance. A secondary band of 6–9 a.m. is worth testing if your audience skews global or executive-heavy.
- Best days: Tue–Thu. Weekends are the weakest of any platform.
Confidence: High for midweek business hours, Medium for the pre-work extremes. This is the platform where I’d trust the data most — the official guidance, Buffer, and Sprout all converge. If you’re building a LinkedIn content strategy, those Tue–Thu mid-morning slots are your starting point. For LinkedIn-specific timing details, see my post on the best time to post on LinkedIn.
X (Twitter)
X has the simplest consensus of any platform — and the declining engagement rates to match.
What the data says:
Buffer analyzed more than 1 million tweets 10 and reports the top times as Wednesday at 9 a.m., Tuesday at 8 a.m., Monday at 8 a.m.
Hootsuite 1 points to a tight 9–11 a.m. window on Wednesday through Friday, with 10 a.m. on Monday and Tuesday also strong.
Sprout Social 4 shows broader windows: 10 a.m.–5 p.m. on Wed/Thu, 11 a.m.–5 p.m. on Tuesday.
Consensus for planning:
- Hours (local time): 8–11 a.m. is the most consistent peak band. 10 a.m.–5 p.m. is a safe broader window if you’re posting multiple times per day.
- Best days: Tue–Thu, with Wednesday often strongest.
Confidence: Medium-high for the direction (midweek mornings), Medium for the exact hour. The more important question for most businesses is whether X is worth the investment at all. The social media benchmarks show engagement rates effectively at zero for many industries. Timing matters — but so does whether anyone’s listening. I dig into this question — including why most of our customers don’t even ask about X — in my post on the best time to post on X.
TikTok
TikTok has the highest variance of any platform across studies. If you’re looking for a single definitive “best time,” you won’t find one. That’s not because the studies are bad — it’s because TikTok’s distribution model is fundamentally different.
What the data says:
Buffer analyzed 7.1 million TikTok posts 11 using median engagement rate — a methodological choice worth noting, since median is more resistant to viral outliers than average. Their day-by-day recommendations are scattered: Monday 1 p.m., Tuesday 6 a.m., Wednesday 10 p.m., Thursday 1 p.m., Friday 6 p.m., Saturday 5 p.m., Sunday 9 a.m. Buffer also finds that weekends can perform very well — Saturday was their single strongest day.
Sprout Social 4 reports a shift toward evening engagement: 5–9 p.m. Monday through Thursday, with Friday seeing broader performance.
Hootsuite 1 reports the overall best time as Thursday morning, 6–9 a.m., with a strong Saturday midday window. They also flag a critical distribution dynamic: TikTok may take up to 24 hours to fully push a video to its audience. That means the “best time to post” might be well before the “best time for people to watch” — because the algorithm needs time to surface your content.
Where the studies disagree: Everywhere. Buffer says weekends and scattered times. Sprout says weekday evenings. Hootsuite says Thursday mornings and Saturday midday. This is the platform where generic timing advice is least useful.
Consensus for planning: Plan for two test bands:
- Morning: 6–9 a.m. (supported by Hootsuite and some Buffer outcomes)
- Late afternoon/evening: 4–9 p.m. (supported by Sprout and several Buffer day-specific picks)
- Best days: Test both midweek and weekends. Don’t assume weekdays are automatically better.
Confidence: Medium-low for any single universal “best time,” but Medium for the two-band testing approach. TikTok is where your own analytics matter most. The social media trends shaping 2026 point to short-form video continuing to dominate — which means getting TikTok timing right (for your audience specifically) is worth the testing effort. For a deeper look at TikTok’s distribution dynamics and why the data disagreement is the most useful finding, see my post on the best time to post on TikTok.
YouTube
YouTube is the platform where “best time to post” matters the least — and where it’s most misunderstood.
What the data says:
Buffer analyzed more than 1 million YouTube videos 12 and found Wednesday at 4 p.m. as the single best time, with a general weekday window of 3–5 p.m. They measured median views — again, a good methodological choice.
Sprout Social 4 skews more evening: best days are Tuesday and Wednesday, with engagement peaking at 6 p.m. (Tuesday) and 7 p.m. (Wednesday).
The important caveat: YouTube’s algorithm does not directly rank videos based on upload time. This is well-documented in YouTube’s own creator guidance. Timing matters only because it affects whether your subscribers and early viewers are online to generate the initial engagement signals (views, watch time, clicks) that then influence algorithmic distribution. A video uploaded at 3 a.m. that gets strong engagement by noon will perform just fine. A video uploaded at “peak time” with weak content will still sink.
Consensus for planning:
- Hours (local time): 3–5 p.m. as a “publish ahead of evening viewing” strategy. 6–8 p.m. is a credible alternative if your audience skews toward evening viewing.
- Best days: Wed–Fri, with midweek strongest. Weekends are often weaker in brand datasets.
Confidence: Medium. The late afternoon recommendation makes logical sense — publish before your audience’s peak viewing hours — but YouTube content accrues views over days, weeks, and months. Obsessing over the upload hour is a misallocation of attention for most creators. Consistency and content quality matter far more.
Cross-platform comparison
Nobody in the top search results for this topic has a single table showing consensus times across all six platforms. Here it is.
| Platform | Best days | Best hours (local time) | Confidence | What the data agrees on |
|---|---|---|---|---|
| Tue–Thu | 11 a.m.–1 p.m. and 6–9 p.m. | Medium | Two-peak platform. Studies disagree on which peak wins. Test both. | |
| Tue–Thu | 8–11 a.m. | Medium | Morning advantage is consistent in 2025–2026 data. 9 a.m. comes up repeatedly. | |
| Tue–Thu | 10 a.m.–1 p.m. | High | LinkedIn’s own guidance confirms independent data. Strongest consensus of any platform. | |
| X | Tue–Thu | 8–11 a.m. | Medium-high | Midweek mornings outperform. But engagement rates on X are historically low. |
| TikTok | Test midweek + weekends | 6–9 a.m. and 4–9 p.m. | Medium-low | Highest variance. Both morning and evening can win. Post ahead of peak viewing. |
| YouTube | Wed–Fri | 3–5 p.m. | Medium | Late afternoon “publish-ahead” strategy. But timing isn’t a direct ranking factor. |
The pattern that holds across platforms: Tue–Thu, during or slightly before your audience’s active hours. That’s the macro-signal worth extracting from 50 million posts.
Everything else — the specific minutes, the day-by-day charts, the heatmaps — is optimization within a window that’s already been defined by the bigger pattern.
When not to post
The studies don’t talk about this much, but the data makes it clear: some times are consistently weak across every platform.
- Late night (11 p.m.–5 a.m.): No study identifies this as a high-engagement window for any platform except occasional TikTok outliers.
- Sunday mornings: Across LinkedIn, X, and Facebook, Sunday consistently shows the weakest performance. Instagram and TikTok are the exceptions — weekend performance can be competitive on visual/entertainment platforms.
- Friday afternoons: For B2B platforms (LinkedIn especially), engagement drops off a cliff after lunch on Fridays. People are checking out for the weekend.
These “worst times” are more consistent than the “best times.” If you’re posting at 2 a.m. on a Sunday to LinkedIn, timing isn’t your main problem — but it’s making everything else harder.
Why these numbers might be wrong
I said I’d be honest about the data. Here’s the full picture.
The format problem nobody addresses. Does a Reel posted at 6 p.m. perform the same as a carousel posted at 6 p.m.? Almost certainly not. Short-form video content spikes rapidly and decays quickly — the social media trends for 2026 confirm that short-form video is the top investment area for marketers. Static posts have different engagement curves. But none of the major studies break down timing by content format in a comprehensive way. Buffer touches on Reels timing briefly. Later has a small Reels-specific dataset (124,000 posts). Nobody gives you a full format-by-time matrix.
The industry problem. A dentist in Phoenix posting at 9 a.m. on Wednesday is competing for attention against a completely different feed than a SaaS company in San Francisco posting at the same time. The social media benchmarks show engagement rates ranging from 0.14% to 2.10% across industries on the same platform. If engagement rates vary by 15x across industries, why would optimal posting times be universal?
The “you’re not average” problem. This is the same issue I raised in the benchmarks post: the average is nobody’s reality. Your audience has specific habits, specific timezones, specific routines. A study of 14 million posts tells you what worked on average for 14 million different audiences. That’s useful as a starting point. It’s dangerous as a rulebook.
The selection bias problem. Most of this data comes from brands posting through scheduling tools. These brands tend to be more organized, more consistent, and more business-hours-oriented than a random user. If you’re a solo creator posting in real time, the “best time” for scheduled brand posts might not apply to you at all.
How to find your own best times
Generic “best times” are starting priors. Here’s how to graduate from them.
Step 1: Look at your platform analytics. Instagram Insights, LinkedIn Analytics, Facebook Page Insights, TikTok Analytics — they all show when your specific followers are online. That data is more valuable than any study of millions of strangers’ posts. The 50 social media marketing statistics for 2026 confirm that platform analytics are getting more sophisticated every year.
Step 2: Pick two candidate windows per platform. Use the consensus table above as your starting point. For Instagram, try midday (11 a.m.–1 p.m.) and evening (6–9 p.m.). For LinkedIn, try mid-morning (10 a.m.–noon) and early morning (7–9 a.m.). Hold format constant while testing — don’t compare a Reel posted at noon to a carousel posted at 7 p.m.
Step 3: Measure the right thing. Use engagement rate for LinkedIn, X, and Facebook. Use views plus retention for TikTok and YouTube. Use a mix for Instagram — Reels care about views, carousels care about saves and shares.
Step 4: Re-evaluate quarterly. Platform algorithms change. Audience habits shift. The “best time” you found in March might not hold in September. Hootsuite explicitly frames timing as something that needs repeated recalculation, and they’re right about that.
Or: let AI handle it.
Here’s the part where I tell you that I run Apaya, an AI social media automation platform, and I want you to use it. At least I’m being upfront about it — which is more than most “best times” studies do when they recommend their own scheduling tools at the bottom of the page.
The reason I built Apaya is that the advice above — test two windows, hold format constant, measure per platform, re-evaluate quarterly, across six platforms — is 10–20 hours of work per week if you do it properly. For every platform. Ongoing. That’s not realistic for most businesses. You’ll do it for two weeks, get busy, and go back to posting whenever you remember to.
AI-powered scheduling solves this differently. Instead of giving you a chart and saying “figure it out,” it learns when your audience engages, adapts to shifts in behavior, and schedules content accordingly. You don’t need to memorize that LinkedIn peaks at 10 a.m. on Tuesdays or that Instagram has two engagement peaks. The system watches the patterns and adjusts.
That’s the difference between automation and manual posting: one requires you to keep reading “best times” studies every year and adjusting your schedule. The other does it for you.
The numbers might be wrong. The direction isn’t.
Fifty million posts. Five major analytics companies. Six platforms. Billions of engagements. And here’s what it all boils down to:
Post on Tuesday, Wednesday, or Thursday. That’s the macro-signal that survives every study, every methodology, every timezone normalization choice.
Post during your audience’s active hours — which, for most business accounts, means sometime between 8 a.m. and 6 p.m. in their local time. The specific hour matters less than being in the right general window.
Don’t overthink it. The difference between posting at 9 a.m. and 11 a.m. is marginal. The difference between posting consistently and not posting at all is massive. Every one of the 50 social media marketing statistics for 2026 points in the same direction: the businesses that show up consistently win. The ones chasing perfect timing while posting once a month don’t.
Use the table above as a starting point. Check your own analytics. Test two windows. And if you’d rather spend your time running your business instead of staring at posting-time heatmaps, try Apaya free and let the AI figure it out.
That’s the real answer nobody in these studies wants to tell you: you shouldn’t have to think about this at all.
Sources
1. Hootsuite — Best Time to Post on Social Media (1M+ posts, 118 countries), Nov 2025 — hootsuite.com/research/best-time-to-post-on-social-media
2. Rival IQ — Best Times to Post on Social Media, 2023 — rivaliq.com/blog/best-times-to-post-on-social-media
3. Buffer — Best Time to Post on Instagram (9.6M posts), Jan 2026 — buffer.com/resources/when-is-the-best-time-to-post-on-instagram
4. Sprout Social — Best Times to Post on Social Media (2.7B engagements, 463K profiles), Oct 2025 — sproutsocial.com/insights/best-times-to-post-on-social-media
5. Later — Best Time to Post on Instagram (6.5M posts, 124K Reels, 975K accounts), 2025/2026 — later.com/blog/best-time-to-post-on-instagram
6. Buffer — Best Time to Post on Facebook (14M posts), Feb 2026 — buffer.com/resources/best-time-to-post-on-facebook
7. BuzzSumo / SocialMediaToday — Facebook analysis (777M posts), 2019 (2018 data) — socialmediatoday.com
8. LinkedIn — LinkedIn Marketing Blog: Best times to post — linkedin.com/business/marketing/blog
9. Buffer — Best Time to Post on LinkedIn (1M+ posts), Apr 2025 — buffer.com/resources/best-time-to-post-on-linkedin
10. Buffer — Best Time to Post on X/Twitter (1M+ posts), Nov 2025 — buffer.com/resources/best-time-to-post-on-twitter-x
11. Buffer — Best Time to Post on TikTok (7.1M posts), Feb 2026 — buffer.com/resources/best-time-to-post-on-tiktok
12. Buffer — Best Time to Post on YouTube (1M+ videos), Apr 2025 — buffer.com/resources/best-time-to-post-on-youtube
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