Use this when you already track clothing in a spreadsheet and want a private, quick wardrobe audit.
What this tool is actually telling you
High cost per wear can come from high purchase cost, low use or both. Unworn counts identify where money is tied up but do not estimate resale value.
The result depends on the assumptions you enter. Treat it as decision support rather than a universal rule.
Inputs that make the answer stronger
- Include Item, Cost and Wears columns; Category and Color improve the analysis.
- Use actual recorded wears where possible.
Worked example
If a $200 coat has been worn 4 times, its recorded cost per wear is $50; the same coat at 40 wears would be $5 before care or resale.
How to use the result for a real decision
Review unworn and high-cost-per-wear items first, then decide whether to wear, alter, repair, resell/donate or avoid repeating the same purchase pattern.
Why the answer changes when your assumptions change
Wardrobe economics depend on future behavior: how often you wear the item, how long you keep it, care costs and whether it competes with similar pieces.
Sources and verification
Wardrobe economics use transparent arithmetic from the assumptions you enter; there is no external universal target for an ideal wardrobe.
Questions people ask
Is my CSV uploaded?
No. The analyzer processes pasted data in the browser.
Does recorded spend equal wardrobe value?
No. Purchase cost is not the same as current resale or replacement value.