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The best time to post is a myth (mostly)

Timing is a nudge, not a lever. What the data really says about posting times, and the two situations where it matters a lot.

Portrait of Ravi Mehta, data and performance lead at Updraft

Ravi Mehta

Data and Performance Lead

Published
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4 min read
#postingtimes#data#forecast
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On this page
  1. What the data says
  2. Where timing does matter
  3. Our rule of thumb

Every week someone asks us for the best time to post. We have a slightly irritating answer: it depends, and it matters less than you think. But there is a useful truth underneath the myth, so let us dig it out.

What the data says

Across our client accounts, the difference between a post published at the theoretical best time and the same type of post published at an average time was around 9 percent in first-day reach. The difference between a strong idea and a weak one was more than 300 percent. Timing is a nudge, not a lever.

Where timing does matter

  • Quiet slots. Posting when your competitors are silent can earn you a bigger share of attention. We often find these early evening, midweek.
  • Live moments. Anything tied to an event needs to be fast. An hour late can mean invisible.
  • Your own audience. Your analytics show when your followers are online. That beats any generic chart on the internet.

Post when your people are around and your rivals are not. Then stop refreshing.

Our rule of thumb

Find two or three slots where your audience is active and the category is quiet, and use them consistently for a month. Consistency teaches your audience when to expect you, which beats chasing a magic minute. Then spend the time you saved on the idea, which is where the real gains are.

If you want to see how this plays out across a week, try the Post Time Machine on our front page. It is a sample, not a law, but it is a good place to start.

Know someone who needs this? Send it their way.

Portrait of Ravi Mehta, data and performance lead at Updraft

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Ravi Mehta

Data and Performance Lead

Ravi turns dashboards into decisions. Before Updraft he built pricing models for a travel app, which is why he can say no to a vanity metric with a perfectly straight face.

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