The best posting time is a time you can test with your own audience. A global timetable cannot account for your followers’ locations, subject, post format or working week.

Choose starting times

Start with two windows when your intended readers are likely to have time for the post. For a local business, compare a morning window with an evening window in the customer’s time zone. For an international audience, test regions separately. Record the time zone and daylight-saving offset; “9 AM” alone is not reproducible.

These are starting hypotheses, not proven peak hours. News and live events can justify posting immediately rather than waiting for a routine slot.

Run a fair timing test

  1. Choose one outcome: replies, link visits measured on your website, or another available count.
  2. Alternate comparable posts between the two windows over several normal weeks. Keep topic and format reasonably similar.
  3. Record post URL, local and UTC time, format, audience size and the observation time.
  4. Compare each post after the same elapsed period, such as 48 hours. Include weak posts rather than selecting only winners.
  5. Review the median, sample size and range in each window. Repeat before adopting a small apparent difference.

Example: choosing between two windows

In a hypothetical test, six morning posts receive reply counts of 1, 2, 2, 3, 4 and 20. Six evening posts receive 2, 3, 3, 4, 4 and 5. The morning average is higher because of one outlier, while the evening median is higher. Neither result proves timing caused the difference. Check whether the outlier covered unusual news before changing the schedule.

Interpret results with the right data

Public post views are not a count of unique readers. Native analytics and third-party archives can also expose different fields. Compare the same metric from the same source. In Tweet Archivist, profile analytics use the captured posts and available view/engagement counts. Collection gaps and posts without view counts limit the comparison.

For a worked analysis layout, see posting schedule analytics. If producing enough comparable posts is difficult, first choose a sustainable posting frequency.

Sources and checks

Reviewed October 16, 2026. View counts.