The most profitable customer in the city is the one you just banned.
The returns paradox: nearly every returns tool on the market watches one number. Add the number it never sees, and the picture inverts.
It left on Monday. It came back on Thursday.
Nothing unusual about it. A collection, a handler, an inspection, a restock. The sale reverses and the margin on it is gone. Same street, same week. So did four others.
One number: how often you send things back.
Cross the line, get friction or a ban. This is how nearly every returns tool on the market works, and returns are not an edge case. They are the normal condition of the business.
Let the city rise by profit.
Picture every household as a building, and let each one grow to the annual profit it generates. Same city, same returns, one more dimension, and the picture inverts.
The tallest tower is the one it just banned. She buys in three sizes, keeps the expensive one, returns the rest. Highest return rate on the block. Highest profit in the city.
And real abuse is short, not tall. A 9% return rate looks clean on any dashboard. What comes back is an empty box.
Send agents through the city.
Every household becomes an agent with its own tolerance for friction, for fees, for being asked to keep what doesn't fit. The returns policy is tested against all of them, and re-solved, before one real customer feels it.
An $850K swing on one policy.
No new customers acquired. No new products. The same month, decided differently.
Illustrative model on published returns economics. Not client data.
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