My revenue grew, my bank balance did not. Then I saw why.
My tea 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.
In your webshop: Orders → Export → CSV. It is just a file with my sales:
| customer | order date | amount | product | cost price | |
|---|---|---|---|---|---|
| H. Grant | hgrant@… | 05-04-2025 | € 12,00 | tin of tea | € 7,00 |
| J. Baker | jbaker@… | 17-07-2024 | € 24,00 | teapot | € 13,00 |
| M. Fisher | mfisher@… | 23-12-2024 | € 39,00 | tin of tea | € 21,00 |
| … | … | … | … | … | … |
That is all I sent. No integration, no technical setup.
Then I went to Distilo. Three steps:
- 1 I bought the Amostra for €40.
- 2 I uploaded the file I had just exported.
- 3 I typed in one sentence what I wanted to know: “which products actually earn, and which cost me money?”
A day later I got no raw numbers, but two things: a report that explains it in plain words, and the list itself.
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.
| product | margin | contribution |
|---|---|---|
| tin of tea | 4% | -€ 56 |
| teapot | 11% | € 39 |
| … | … | … |
I raised the price on a few tin of tea 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.
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.