Everyone bought once and vanished. Now I know who to nudge.
My skincare shop got plenty of first orders, but almost no one came back for a second.
I thought things were fine because orders came in daily. Only late did I notice it was always new people.
In your webshop: Orders → Export → CSV. (Or your marketplace’s orders export.) It is just a file with my sales:
| customer | order date | amount | |
|---|---|---|---|
| R. Smith | rsmith@… | 11-01-2025 | € 29,00 |
| T. Miller | tmiller@… | 28-11-2024 | € 45,00 |
| A. Cook | acook@… | 05-04-2025 | € 88,00 |
| … | … | … | … |
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: “who bought once and never returned?”
A day later I got no raw numbers, but two things: a report that explains it in plain words, and the list itself.
Nearly 7 in 10 customers never came back after their first order.
A short message after the first purchase, at the right moment, brings a chunk of them back.
| customer | last bought | spent |
|---|---|---|
| R. Smith | 6 months ago | € 530 |
| T. Miller | 9 months ago | € 380 |
| A. Cook | 5 months ago | € 300 |
I messaged the one-time buyers with a small reason to come back for a second serum.
A few percent more second orders adds up fast across thousands of customers.
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.