How a sneaker shop in London uses Distilo
~1.100 producten · ~5.200 bestellingen/mnd · webshop · 4 jr

My revenue grew, my bank balance did not. Then I saw why.

My sneaker shop was selling more than ever, but at month-end little was left.

I discounted a lot and honestly did not know which products still made anything after costs.

How I got my file

In your webshop: Orders → Export → CSV. It is just a file with my sales:

customeremailorder dateamountproductcost price
T. Millertmiller@…20-09-2024€ 79,00pair of sneakers€ 43,00
A. Cookacook@…11-01-2025€ 118,00care kit€ 65,00
N. Wardnward@…28-11-2024€ 240,00pair of sneakers€ 132,00

That is all I sent. No integration, no technical setup.

What I did at Distilo

Then I went to Distilo. Three steps:

  1. 1 I bought the Amostra for €40.
  2. 2 I uploaded the file I had just exported.
  3. 3 I typed in one sentence what I wanted to know: “which products actually earn, and which cost me money?”
What I got back

A day later I got no raw numbers, but two things: a report that explains it in plain words, and the list itself.

distilo-report.pdf

About 12% of your products sell below a healthy margin, some even at a loss.

Reprice or drop the loss-makers, and shift attention to the lines that actually carry the shop.

Where your margin leaks
productmargincontribution
pair of sneakers4%-€ 144
care kit11%€ 101
Products from your own file (example)

I raised the price on a few pair of sneakers lines and stopped the deepest discounts.

Same number of orders, more money that actually stuck.

The Amostra costs €40 and gives you one PDF with three quick analyses on your real data (lapsing customers, your best customers, and what is often bought together). Subscribe within 30 days and the €40 becomes credit.

Try it for your own shop · €40

Send your sales list, we do the rest. Nothing technical.

Example based on a composite shop; persona and numbers are illustrative. The analysis itself is a real Distilo run on your own sales list.

More for a sneaker shop