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

I sent one file and finally saw where my money is.

I had my sneaker shop’s sales list, but no time to do anything with it myself.

I had been steering on gut feel for months and wanted a cheap, quick look before deciding anything big.

How I got my file

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

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

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: “what stands out in my numbers?”
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

In one report I saw it right away: who is leaving, who my best customers are, and what is often bought together.

No complicated dashboards, just three clear findings with one next step each.

Who to call
customerlast boughtspent
T. Miller6 months ago€ 900
A. Cook9 months ago€ 700
N. Ward5 months ago€ 550
Names from your own file (example)

I started with the strongest finding and called the customers the report said were leaving.

€40 to see it works on my own data. After that I knew where I wanted to dig deeper.

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