Instagram

Instagram analytics

Point it at any public account, yours or somebody else's, and get the numbers behind it. No connection needed to read an account, because the data is public either way.

metricpeek.com/profile-report
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A profile report: the account header, the score out of 100 broken into its parts, and the engagement grade.

One composer for all of them. Deep analytics for Instagram and TikTok.

A rate on its own means nothing

The same account, read two ways.

A number with no context

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A single large engagement percentage floating alone on a card.
  • An engagement rate that is either good or bad depending on facts nobody shows you.
  • A total score with no parts, so a weak result tells you nothing about what to change.
  • Best posting time given as a heatmap you still have to interpret.
  • Every check is disconnected from the last one, so growth is a feeling rather than a line.

Graded against its own size

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The score with its components listed, and the cohort grade beside the engagement figure.
  • Engagement graded against accounts the same size, because the same rate means different things at three thousand followers and three hundred thousand.
  • The score is shown in parts, so a weak number says which part to fix.
  • Posting-time analysis ends in a best hour and a best day, in your timezone.
  • Snapshots accumulate into a growth line instead of a series of separate looks.

What a report holds

All of it read from public data, which is why it works on accounts that are not yours.

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The score panel: the headline number and the component bars beneath it.
Scoring

A score out of 100, with its parts showing

One headline number, and underneath it the components that produced it. A total on its own tells you that something is wrong; the parts tell you which one, which is the difference between a verdict and something you can act on.

Engagement inside it is graded against a cohort of accounts the same size.

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Posting activity by hour and weekday, with the best slot marked.
Timing

A best hour, not a heatmap

Posting activity read by hour and weekday in your own timezone, and reported as the hour and the day rather than as a grid you have to squint at.

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Recurring words and tags sized by how often they appear.
Captions

What the account actually repeats

The hashtags, words and mentions that genuinely recur, filtered against a stop-word list so the result is themes rather than a count of the word "the".

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A follower line across several weeks of stored snapshots.

Growth from snapshots

Put a report on a schedule and every run stores a snapshot. Disconnected checks become a line, which is the only way to see a direction rather than a position.

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Three accounts in columns with the winning figure highlighted per row.

Side-by-side comparison

Several accounts across every metric a report holds, with the better number highlighted in each row, so a comparison is read rather than assembled.

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A recommendations panel with a partnership post flagged.

Recommendations and partnerships

Written recommendations off the back of the numbers, plus paid-partnership detection that combines the platform's own flag, the caption text and the model's read of it.

How a report gets made

Three steps, and none of them ask for your password.

01
Point

Any public account, including one that is not yours

Paste a username. Nothing is connected and nothing is authorized, because the data a report reads is public either way. That is also what makes a competitor as readable as your own account.

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The analyze screen with a username entered and the platform picker beside it.
02
Read

The numbers, then what they mean

The score and its parts, engagement against a size cohort, posting times, recurring themes and written recommendations. Images are copied to our storage as the report is built, so it still renders months later once the platform has expired its own links.

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A finished report scrolled to the content analysis section.
03
Watch

Put it on tracking and let it accumulate

Scheduled runs store a snapshot each time, and a refresh pulls only what changed. When nothing changed the credits go back on their own, because charging for a re-read of identical data is not a thing we are willing to defend.

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The tracking panel: the schedule, and the snapshots taken so far.

Questions about Instagram specifically

Do I need to connect my Instagram account?

No. A report reads public data, so it works on any public account without a connection and without a password. Connecting an account is only needed to publish to it.

Can I analyse a private account?

No. A private account has nothing readable from outside, and no tool that claims otherwise is reading what it says it is.

Do you show impressions, reach and saves?

No. Those live in the account owner's own insights and are not readable from outside, so what you get here are the public-side metrics. We would rather be clear about that than pad the page.

Is a report live?

It is a snapshot of the moment it was fetched, and it changes when you refresh it. That is deliberate: a live feed would be a running charge against the data provider for numbers nobody is looking at.

Why grade engagement against a cohort?

Because the same rate means different things at different sizes. A figure that is unremarkable for a small account can be excellent for a large one, and a single global benchmark hides exactly that.

How complete are follower and following lists?

They are a capped sample rather than the full list. The interface says so where it shows one, instead of presenting a sample as a census.

Does this work on TikTok as well?

Yes. Profile reports cover Instagram and TikTok. Hashtag research is the module that is Instagram-only.

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