My best customer left without me seeing it coming.
One of my clothing shop’s biggest buyers suddenly stopped ordering, and I only noticed at month-end.
Big customers rarely leave with a bang. They just order less and less, until they are gone.
In your webshop: Orders → Export → CSV. (Or your marketplace’s orders export.) It is just a file with my sales:
| customer | order date | amount | |
|---|---|---|---|
| A. Cook | acook@… | 02-02-2025 | € 39,00 |
| N. Ward | nward@… | 20-09-2024 | € 64,00 |
| P. Evans | pevans@… | 11-01-2025 | € 120,00 |
| … | … | … | … |
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 top customers are cooling off?”
A day later I got no raw numbers, but two things: a report that explains it in plain words, and the list itself.
A handful of your biggest customers are ordering noticeably slower than a year ago.
Not a loss yet, but a warning. A personal touch now stops them from quietly leaving.
| customer | spent (12 mo) | share |
|---|---|---|
| A. Cook | € 2.400 | 6,1% |
| N. Ward | € 1.800 | 4,3% |
| P. Evans | € 1.500 | 3,7% |
I personally called the cooling top customers, just to ask how things were going.
Two big customers I would otherwise have lost started ordering again.
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.