Wardrobe analytics

Your closet,
by the numbers.

Cost-per-wear on every piece, the clothes you never reach for, and how your palette is shifting — read back to you each week like editorial, not a spreadsheet.

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The Clottr weekly wardrobe recap, written like an editorial page

How the numbers add up

1

Wear and log

Every fit you wear gets logged — a daily fit you tapped, an event on your connected calendar, or a quick manual mark. No spreadsheet, no data entry. Wearing your clothes is the input.

A streak of logged wears building toward the next tier in Clottr
2

The math runs itself

Clottr divides each item's price by the wears it has racked up, counts how often you reach for it, and clocks how long it has sat untouched — per piece, automatically.

A by-the-numbers card showing wear counts and cost-per-wear across the closet
3

The recap, weekly

Once a week the Insights tab reads your closet aloud — palette shifts, deep cuts, peer percentiles — in the voice of a stylist with a copyeditor, not a dashboard.

A deep-cuts card resurfacing a piece that has not been worn in months
The Clottr wardrobe grid with per-item wear and cost-per-wear analytics

Cost-per-wear, on every hanger

Cost-per-wear is the honest number: an item's price divided by how many times you actually wore it. Clottr tracks it per piece and updates it every time you dress, so that $120 blazer quietly drops below $4 a wear while the impulse-buy heels stay stuck at $95.

Alongside it sits the rest of the picture — which pieces you reach for, which you never do, and how your palette is drifting week over week. Closet statistics, without the tax software feel.

  • ·Most-worn this week
  • ·Longest untouched
  • ·Cost-per-wear per item
  • ·Palette by color family
  • ·Style mix over time
  • ·Wears logged per season
Tracks your worn items. On its own.

Tracks your wears. Automatically

Don't feel like tracking each wear every day? No worries, by setting wear prediction frequency, we will automatically keep track of your wears. All aligned to the fits you like and choose.

Daily we update all clothes that you have probably worn that day, taking into account season, fits, any events or trips to make sure your statistics is up to date. Automatically.

Frequently Asked Questions

How do I track cost per wear?

Cost-per-wear is an item's price divided by how many times you've worn it. Clottr logs your wears automatically from frequency prediction, daily fits and calendar events (or a manual tap), then tracks the number per piece, so you can watch a $120 blazer fall below $4 a wear while a rarely-touched item stays expensive.

Which clothes do I never wear?

Insights surfaces your "deep cuts", the pieces sitting untouched the longest and resurfaces them when the weather and your week finally suit. In practice it reads like "the olive overshirt hasn’t been worn in 92 days, and today is finally right."

What wardrobe analytics does Clottr show?

Your closet by the numbers: most- and least-worn pieces, cost-per-wear per item, how your color palette is shifting week over week, your overall style mix, and wears logged per season. Every statistic updates as you wear, so it stays current instead of frozen at setup.

How does Clottr know which clothes I actually wear?

Three sources feed it: the daily fits you tap to wear, events on a connected calendar, and any wear you log by hand. Nothing needs a spreadsheet, the act of wearing your clothes is what fills the numbers in.

What are peer percentiles, and can I share my recap?

Some stats compare you anonymously against other Clottr users — like "you’re in the top 12% for color play this month." Each weekly recap also becomes a share card you can post or keep private. Your wardrobe data stays yours either way; only aggregate, anonymized rankings are compared.

See your closet, by the numbers.