I was guessing which products to bundle. Now I know.
My clothing shop had hundreds of products and my “frequently bought together” blocks were pure guesswork.
I knew there was more to get from each order, but not which products actually pull each other along.
In your webshop: Orders → Export → CSV. (Or your marketplace’s orders export.) It is just a file with my sales:
| customer | order date | amount | product | |
|---|---|---|---|---|
| A. Cook | acook@… | 02-02-2025 | € 39,00 | hoodie |
| N. Ward | nward@… | 20-09-2024 | € 64,00 | cap |
| P. Evans | pevans@… | 11-01-2025 | € 120,00 | hoodie |
| … | … | … | … | … |
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 are often bought together?”
A day later I got no raw numbers, but two things: a report that explains it in plain words, and the list itself.
A few product pairs are bought together far more often than apart, ideal to bundle.
Put those pairs together as a bundle or suggestion and your order value rises with no extra ads.
| product | often with | lift |
|---|---|---|
| hoodie | cap | ×3,2 |
| … | … | … |
I made a bundle of the strongest combination and put it in the checkout as a suggestion.
More per order, from customers who were already checking out anyway.
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.