Four steps from your order history to a change worth making.
Export orders and products from your platform and upload them. Shopify, WooCommerce, BigCommerce or anything that exports CSV.
Nurtra. tests every product pair in your catalogue for a real, statistically significant buying relationship.
Work through the ranked opportunities, the evidence behind each, and the pairings that were set aside.
Make the recommended change in your store. Nurtra. has no write access and does nothing on your behalf.
Re-import whenever you want a fresh read on newer orders.
Nurtra. examines every pair of products in your catalogue and identifies where buyers of one go on to buy another far more often than chance would explain.
Each candidate is significance-tested and corrected for the number of pairs examined. Test enough pairs and some will look meaningful by luck alone; that correction is what stops those reaching you.
Nurtra. counts the customers who own one product and not the other, applies a stated conversion assumption and your realised price, and gives a range rather than a single misleading figure.
Order history, product data and customer purchasing behaviour. Nothing about how you sell has to change.
Order id, customer, date, product, quantity and price. A CSV from any platform will do.
Below roughly 3,000 customers the figures Nurtra. finds are unlikely to cover its own cost. Thin data produces an honest empty result rather than a padded one.
An opportunity only becomes revenue when the recommendation goes live on your product page. Nurtra. tells you what to change; you change it.