Social media scheduling statistics show that posting time varies sharply by platform, day, and local audience. Hootsuite’s 2025 analysis covered more than 1 million posts across 118 countries, while Buffer’s Facebook benchmark used more than 14 million posts. These figures are timing benchmarks, not guarantees of performance.
Contents
- How large the timing studies are
- Instagram scheduling statistics
- Facebook scheduling statistics
- LinkedIn, X, and TikTok timing
- Threads and Pinterest scheduling windows
- Weekly patterns and local-time planning
How large the timing studies are
The scale of a study affects how useful its averages may be for planning. Hootsuite analyzed more than 1 million posts from 118 countries for its 2025 posting-time dataset. Its findings therefore describe a broad international sample rather than one specific national audience.
Buffer’s Facebook analysis covered more than 14 million Facebook posts. That larger platform-specific sample provides a separate timing benchmark, and its results do not always match Hootsuite’s Facebook recommendation. Differences between studies are a reminder to treat a “best time” as a starting point for testing.
Buffer’s 2026 engagement report is broader still: it analyzes more than 52 million posts from more than 200,000 Buffer accounts, collected between January 2024 and December 2025. The report covers Instagram, TikTok, LinkedIn, X, Threads, Facebook, and Bluesky. Because that report measures engagement across multiple networks and a defined collection period, it should be read as a period-specific benchmark rather than a permanent rule.
Sprout Social’s 2026 guide reports several windows in local time. Its broadest pattern places the highest activity on Tuesdays and Wednesdays from 11 AM to 6 PM local time. Sprout also reports Sunday as the lowest-performing day across major networks and says Sunday has no optimal posting time.
Instagram scheduling statistics
Hootsuite’s universal Instagram recommendations contain several distinct windows. On Monday, the stated best period is 3 PM to 9 PM. On Tuesday, Hootsuite identifies two periods: 5 AM to 8 AM and 3 PM to 7 PM. Thursday’s recommended Instagram period is 5 PM to 7 PM.
These findings create a practical scheduling pattern: Tuesday has both an early-morning and an afternoon-to-evening opportunity, while Monday and Thursday concentrate later in the day. The dataset does not provide a single universal Instagram window for every day, so the available periods should not be expanded into unsupported daily claims.
Sprout Social adds a separate day-specific Instagram benchmark. Its Wednesday Instagram window is 12 PM to 9 PM, with an additional peak at 11 PM. This is a wide Wednesday range compared with Hootsuite’s listed day-specific Instagram findings, and the difference reinforces that study methodology, audience mix, and measurement period matter.
Hootsuite also identifies Instagram’s weakest period as midnight to 4 AM. That four-hour overnight range is useful as a scheduling exclusion when a publisher is choosing among otherwise similar time slots. It does not establish that every account will underperform during those hours.
Facebook scheduling statistics
Facebook produces some of the clearest cross-study contrasts. Hootsuite says the best time to post is 9 AM on Tuesday. Buffer, using more than 14 million Facebook posts, says the single best time is 9 AM on Thursday. Both recommendations point to 9 AM, but they assign the peak to different weekdays.
Buffer’s daily Facebook times are as follows:
| Day | Buffer’s top Facebook time |
|---|---|
| Monday | 9 PM |
| Tuesday | 8 AM |
| Wednesday | 8 AM |
| Thursday | 9 AM |
| Friday | 8 AM |
| Saturday | 10 PM |
| Sunday | 10 AM |
Buffer names Wednesday the best Facebook day, Thursday the second-best, and Tuesday the third-best. Its broader analysis also identifies 5 AM as a top-performing time on both Monday and Tuesday. For Wednesday, the earlier Facebook study records additional morning peaks at 7 AM and 10 AM, alongside 5 AM and 8 AM.
The daily results are not a single smooth morning curve. Monday and Saturday peak at 9 PM and 10 PM respectively, while Tuesday, Wednesday, and Friday peak at 8 AM. Sunday’s listed peak is 10 AM. A scheduler using this benchmark would therefore need a day-by-day calendar rather than one Facebook time repeated throughout the week.
Hootsuite’s weakest Facebook period is 12 AM to 4 AM across the week. That four-hour overnight interval contrasts with Buffer’s late-evening Saturday and Monday peaks, showing why the exact day matters when applying a general timing statistic.
LinkedIn, X, and TikTok timing
Hootsuite says LinkedIn performs best from 4 AM to 6 AM on Tuesdays and Wednesdays. Its weakest LinkedIn periods are after 7 PM and on weekends. The recommended window and the weak periods are both unusually specific, so they are best treated as scheduling boundaries for the Hootsuite benchmark rather than universal audience behavior.
X has two different timing pictures in the supplied studies. Hootsuite identifies 9 AM to 11 AM on Wednesdays, Thursdays, and Fridays as the best time to post on X, and says the worst time is before 5 AM across the week. Sprout Social reports a midday-to-evening window instead: X performs best on Tuesdays, Wednesdays, and Thursdays from 12 PM to 6 PM.
Sprout says the best X days are Monday through Thursday and the worst days are weekends. Its more detailed Monday X window includes 2 PM to 3 PM and 5 PM, while Tuesday’s window spans 12 PM to 6 PM. These findings differ from Hootsuite’s 9 AM to 11 AM recommendation, so an X scheduling test should compare morning and afternoon slots rather than assuming one study resolves the question.
For TikTok, Hootsuite says the best posting time is 7 AM to 11 AM on Thursdays. The weakest periods are before 6 AM on Wednesday, Thursday, Saturday, and Sunday. Hootsuite also says TikTok engagement dips after 11 PM across the week. Taken together, those figures define a broad daily caution around very early and late posting, with Thursday morning as the stated positive window.
Threads and Pinterest scheduling windows
Hootsuite’s Threads benchmark identifies 8 AM on Tuesday as the best posting time. Its day-by-day Threads peaks are 9 AM Monday, 12 PM Wednesday, 9 AM Thursday, 2 PM Friday, 12 PM Saturday, and 1 PM Sunday. The result is a dispersed weekly schedule: Tuesday peaks early, while Friday, Saturday, and Sunday peak at midday or in the afternoon.
Pinterest’s overall best posting time in Hootsuite’s findings is 12 PM on Tuesdays and Fridays. The day-by-day Pinterest peaks are 10 AM Monday, 10 AM Wednesday, 6 PM Thursday, 1 PM Saturday, and 4 PM Sunday. Unlike the Tuesday and Friday recommendation, these daily peaks spread across morning, afternoon, and evening.
Sprout Social’s Tuesday Pinterest window adds another set of timing points: 7 AM and 10 AM to 1 PM. That range overlaps with Hootsuite’s Tuesday noon recommendation, but it also includes an early-morning slot and a broader late-morning-to-early-afternoon period. The overlap supports testing around noon; it does not justify treating every listed hour as equally strong.
Weekly patterns and local-time planning
The strongest common pattern is weekday concentration, but the exact hours depend on the network. Sprout Social reports Monday’s best general posting period as 10 AM to 5 PM local time, Tuesday’s as 11 AM to 6 PM, Wednesday’s as 11 AM to 6 PM, Thursday’s as 11 AM to 5 PM, and Friday’s as 11 AM to 2 PM. Saturday engagement spikes from 11 AM to 6 PM local time.
| Day | Sprout Social reported general window |
|---|---|
| Monday | 10 AM–5 PM local time |
| Tuesday | 11 AM–6 PM local time |
| Wednesday | 11 AM–6 PM local time |
| Thursday | 11 AM–5 PM local time |
| Friday | 11 AM–2 PM local time |
| Saturday | 11 AM–6 PM local time |
| Sunday | No optimal time reported |
The local-time qualification is important. Sprout’s windows are explicitly local time, while the supplied Hootsuite and Buffer findings do not specify a single universal time zone in these statements. A publisher should therefore preserve the source’s time-zone framing instead of converting all figures into one assumed zone.
Scheduling also benefits from separating platform rules from cross-platform rules. Sprout’s Tuesday and Wednesday activity window of 11 AM to 6 PM local time is broad enough to guide a multi-network content plan, but Hootsuite’s LinkedIn recommendation is 4 AM to 6 AM on Tuesdays and Wednesdays, and Hootsuite’s Instagram Tuesday recommendations include 5 AM to 8 AM and 3 PM to 7 PM. A single daily slot would miss several platform-specific peaks.
Finally, the figures describe historical or period-specific observations and estimates of favorable timing, not forecasts of an individual account’s results. The Hootsuite dataset is described as 2025 posting-time data, Sprout’s guide is dated 2026, and Buffer’s large engagement report uses posts collected from January 2024 through December 2025. Those measurement periods should remain attached to the statistics when they are used to plan future publishing.