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WARDROBE

What Wear Tracking Actually Reveals

A season of wear data tells you three things about your wardrobe that are otherwise invisible, and one uncomfortable thing about how you shop.

Wardrobe Analytics1 min readPublished Priya Nair

In short

  • A small set carries the wardrobe. Typically five or six garments account for most wears.
  • The never-worn set is bigger than you think. Items still at zero after six months have answered a question most people avoid asking.
  • Predicted and actual wear counts diverge. The gap between what you expected to wear something and what you did is the most useful number a wardrobe produces.

A season of wear data tells you three things about your wardrobe that are otherwise invisible, and one uncomfortable thing about how you shop.

A small set carries the wardrobe

Typically five or six garments account for most wears. Those are the ones to own twice and to replace first.

The never-worn set is bigger than you think

Items still at zero after six months have answered a question most people avoid asking.

Predicted and actual wear counts diverge

The gap between what you expected to wear something and what you did is the most useful number a wardrobe produces.

What to do with the data

What to do with the data

  • Buy a second of anything in your top five
  • Replace worn-out high-wear items before they fail
  • Box anything at zero after six months
  • Compare predicted to actual wears before your next purchase
  • Check whether one category or season is over-served
  • Recalculate cost per wear with real numbers

Frequently asked questions

What percentage of clothes do people actually wear?

Most wardrobes have a core of five or six garments accounting for the majority of wears, with a substantial tail worn rarely or never.

How long before wear data is useful?

One season. Three months of real counts beats any amount of estimating.

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