shopify-admin-product-affinity-cross-sell

To find products frequently bought together in Shopify, you can run market basket analysis on your order history. This process mines multi-item orders within a specified date range to identify co-purchased product pairs for cross-sell recommendations.

Market basket analysis calculates product affinity by computing support, confidence, and lift metrics for co-purchased items. These statistical measures filter and rank meaningful product pairs based on actual purchasing behavior rather than guesswork.

Yes, you can use Shopify order analytics to generate ranked cross-sell pairs. By analyzing authenticated read-only order and product data, the system computes affinity scores and filters them by configurable thresholds before exporting the results.

The best way to export Shopify product affinity scores is to analyze your order history and output the results as a CSV file. This action-ready format contains top product pairs ranked by lift, ready to power recommendation widgets.

Yes, you need authenticated Shopify access to perform product affinity analysis. The process requires read-only permissions to access your store's order and product data for computing co-purchase metrics and generating cross-sell recommendations.