Best time to post: yours, and why the internet chart does not apply

Every year a chart of golden hours circulates, and it is useless for three concrete reasons.

• It is a global average. The average of millions of accounts across different niches describes none of them.
• It ignores your timezone and your audience's. An account in one country with an audience in another has completely different peaks.
• It is self defeating. If everyone posts at the recommended hour, that hour becomes the moment of highest competition for attention.

There is also a detail invalidating the question as usually asked: distribution today is not chronological. A post does not only appear to people online that minute; it keeps being delivered for hours and days.

The data exists and is free: inside Instagram Insights, in the audience section, there is information on the hours and days your followers are most active.

How to use it without fooling yourself:

• It needs a base. With few followers the data is noisy and not worth trusting.
• Look by day of week. Tuesday's peak usually differs from Sunday's, and the average hides that.
• Check the timezone. If much of the audience sits in another country, the displayed hour may not mean what you assume.
• Post slightly before the peak. The idea is for the piece to already be in distribution when the volume of people arrives.

Worth calibrating expectations, because the subject receives disproportionate attention.

Timing influences initial delivery: posting when more people are active raises the chance of quick engagement, and quick engagement is what signals to the system that expanding delivery is worthwhile.

But it is a small multiplier on a much larger variable. A weak hook posted at the perfect hour is still a weak hook. In order of importance, timing sits well below content, hook and format.

The practical conclusion is economic: spending an hour improving the hook returns more than spending an hour choosing the time.

If you want to take it seriously, the method is simple and takes a few weeks:

1. Pick two clearly distinct hours, not two neighbouring ones.
2. Alternate across several weeks, keeping content type similar.
3. Compare averages, not isolated pieces. One piece that took off distorts everything.
4. Look at reach in the first hours, which is what timing affects, rather than the total accumulated over days.

And accept the likeliest result: for most accounts the difference is small. That is useful information, because it frees attention for what changes more.

• I use my own profile data, not an internet chart.
• I look by day of week, not only at the average.
• I checked my audience's timezone.
• I know timing affects initial delivery, not the final result.
• I prioritise hook and content before optimising timing.