Sledru

From your own data

When to post on Instagram — measured from your own records

We spread recent posts across weekdays and hours and show when this account earns a stronger response, and when posts pass unnoticed.

No universal “post at 7 pm” tables. The pattern is measured inside one profile, from its own posts.

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Before checkout

Which hours earn the strongest response

The report spreads a profile’s posts across days of the week and hours and shows when the response runs higher. Timestamps arrive in UTC and the platform does not publish where the viewers live, so hours are converted to Moscow time and read as a pattern inside this profile — not as universal advice from someone else’s article.

Inside the result

What the breakdown shows

  1. 01Weekdays with the typical response for each
  2. 02Publishing hours and the response by hour
  3. 03How often posts appear and where the pauses were
  4. 04The longest gap across the period reviewed

Example format

What the timing breakdown looks like

This is a demonstration of the format, not data from a real profile. A purchased result contains rows for the public account you specify.

01Weekdays with the typical response for eachexample
02Publishing hours and the response by hourexample
03How often posts appear and where the pauses wereexample

Three steps

How it works

  1. 01

    Enter a public profile

    Recent posts carrying dates are collected.

  2. 02

    Spread across time

    Each post falls into its weekday and its hour.

  3. 03

    Buckets are compared

    Medians are compared, and a bucket holding one post is not a conclusion.

No hidden tiers

One-time price

A single report on one public profile’s recent posts.

One public profile

$4.49Up to 36 recent posts

FAQ

What to know about posting time

01Does it show when my audience is online?

No. Follower activity hours appear only in the owner’s own insights. This compares the response to posts already published.

02Is the response measured from reel views?

Response means likes and comments, counted across every format at once: photos, carousels and reels land in the same calculation. Views stay out of it, because a photo has none and the hours would stop being comparable.

03Why Moscow time?

The timestamp arrives in UTC and has to be anchored somewhere. Moscow is the main market; shifting to your own zone is one mental step.

04What if an hour holds only one post?

That bucket is flagged and excluded from the conclusion. One post does not make an hour the best one.

05How is this different from the content review?

That compares formats and topics. This covers timing only: days, hours, frequency and gaps.

06How many posts are needed?

At least eight with dates. Below that a “best hour” would be a random number.

Why universal timing tables do not work

Articles listing “the best hours” are assembled from other accounts, in other niches, in other timezones. Their relationship to your profile is accidental.

The only data that relates to your audience is the response to your own posts. Those are what should be compared.

So the report names no “correct” hour at all. It shows how your morning posts differed from your evening ones, and the decision stays yours.

What not to expect

Three honest limits worth knowing before you buy.

  • It will not name a cause. Publishing hour and post content change together, and public data cannot separate them.
  • Small buckets do not count. An hour holding a single post produces no conclusion — that is more honest than a tidy table.
  • It is a snapshot, not a rule. Thirty-six posts describe a recent stretch, not the account’s behaviour in general.

Sources

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