Social Media Post Time Optimizer

What are the best times to post on social media in 2025?

The best posting times vary by platform. For Instagram, Tuesday through Thursday between 9 AM and 11 AM tends to be optimal. Twitter/X sees peak engagement Monday through Thursday at 8 to 10 AM. TikTok has two daily peaks around 7 to 9 AM and 7 to 11 PM. LinkedIn is strictly business hours with Tuesday and Wednesday mornings being best. YouTube performs best Thursday through Saturday with uploads at 12 to 4 PM. All times refer to your audience's local timezone.

Does the best posting time depend on my audience's timezone?

Yes, audience timezone is the most important factor. Posting at 9 AM means nothing if your audience is asleep. This tool converts optimal posting windows from your audience's timezone to your local time, so you know exactly when to hit publish regardless of where you are located.

How does content type affect the best posting time?

Different content types perform better at different times. Instagram Reels and TikTok videos tend to perform well in the evening when users browse leisurely. LinkedIn articles do best during business hours. YouTube videos should be published 2 to 3 hours before peak viewing time to allow for indexing. Stories on Instagram and Facebook work best during morning commute hours.

Should I post at the same time every day?

Consistency helps but optimal times vary by day of the week. Weekdays typically see higher engagement than weekends for most platforms except TikTok and YouTube. Use the weekly heatmap to identify the best windows for each day and create a varied but consistent schedule.

Can I plan several platforms or a split audience in one go?

Yes. Tick every platform you post on and each gets its own tab, while one weekly plan shows all of them together. If your followers are spread over two regions, add a second audience timezone and its share; the scores then blend both regions.

How is the posting plan chosen?

Set how many posts a week you publish on each platform. The plan takes the highest-engagement slots but spreads them out: no more than one post a day until you post more than seven times a week, posts at least three hours apart, and with three or fewer posts no two on neighbouring days where that can be avoided.

How were these posting time recommendations determined?

The recommendations are based on aggregated research from major social media analytics platforms including Hootsuite, Sprout Social, Buffer, and Later, covering data from 2024 and 2025. The engagement scores reflect patterns across millions of posts and accounts worldwide.

If most of my audience is in New York, what time should I choose while posting from Los Angeles?

Set the audience timezone to the one where most followers are located and set your own timezone to Los Angeles. The schedule can then show recommended times in your local timezone. For example, 9 a.m. in New York is normally 6 a.m. in Los Angeles, though daylight saving changes can briefly affect the offset. Check the displayed timezone when planning posts around those clock changes.

How should I set the second audience timezone if 30% of my followers are in another region?

Choose the timezone for that second region and enter 30% as its audience share if that matches your audience estimate. The remaining 70% represents the primary audience timezone. These percentages are estimates of where followers are located, not a guarantee that engagement is split exactly that way. If you do not have reliable regional data, use your best available audience insights and compare the resulting schedule with actual performance.

Should I post on every recommended time slot if I publish only twice a week?

No. Treat the recommended windows as options and select the ones that fit your posting frequency and content plan. If you publish twice weekly, test two suitable windows for a few weeks and compare results such as reach and engagement. Keep the platform and audience timezone in mind, and avoid changing many variables at once; otherwise it is harder to tell whether timing affected performance.