Analyzer

Product Combination Analyzer

See which SKUs customers buy together, month by month

Upload your order export and see which products customers buy together, month by month. Then download the full breakdown in Excel.

No file yet. Try the sample to see how it works.

Your data stays in your browser. We do not upload, save or store it, and it is cleared as soon as you refresh or leave this page.

Orders analysed-unique order names
Multi-SKU orders-orders with 2+ SKUs
Avg. SKUs per order-distinct SKUs per order
Top pair-most common 2-SKU basket
How to use this tool
  1. In Shopify, go to Orders › Export (or use any sheet with Month, Order name and SKU).
  2. Upload it here. Each order's distinct SKUs become one combination.
  3. Switch between month and day, then download the Excel.

What the product combination analyzer does

It shows which SKUs customers buy together in the same order, so you can build bundles from real behaviour instead of guesses. It lists your top 2, 3 and 4 SKU combinations month by month.

How to use it

In Shopify, go to Orders and then Export, or use any sheet with Month or Date, Order name and SKU. Quantity is optional. Upload it, switch between month and day view, and download the full breakdown as an Excel file. Try the sample data first to see how it works. Your data stays in your browser and is not uploaded or stored.

How to turn the results into bundles

Start with pairs that already sell well without any offer, because they are your safest bundles. Pair products that complete each other, and consider a full size plus a mini at full price instead of a discount. The related article covers seven ways to raise average order value with bundles.

Frequently asked questions

What counts as a combination?

Each order's distinct SKUs form one combination. An order with a single SKU is counted as a one-SKU order.

How many months of orders should I use?

The last 3 to 6 months of orders is a good starting point.

Does it work with Excel and CSV files?

Yes. Upload an Excel or CSV file with one row per line item.

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