shopify-admin-cross-sell-opportunity-finder

To find cross-sell opportunities, analyze Shopify orders over a lookback window to calculate single-item purchase rates, flagging solo-heavy products lacking complementary pairings. This identifies gaps where customers buy main items without adding accessories to increase AOV.

The best way to identify missing cross-sell pairs is by computing solo-rate metrics from order analytics to find frequently purchased alone products, then suggesting missing partner products based on vendor compatibility, price-tier complementarity, and customer cohort overlap to increase AOV.

You generate a CSV report of recommended cross-sell partners by running a read-only analysis of Shopify orders and products. The output contains ranked partner pairs and estimated AOV lift, providing actionable data for cart drawer or "Customers also bought" merchandising implementations.

Yes, cross-sell opportunity detection requires read-only access to Shopify orders and products via GraphQL. It computes solo-rate metrics and enriches candidate products without mutating store data, ensuring safe analysis for merchandising and AOV optimization experiments.

You can use Shopify order analytics to build "Customers also bought" recommendations by analyzing high single-item purchase rates and finding missing complementary partners. The analysis outputs ranked product pairs with estimated AOV lift for cart drawer prompts and merchandising experiments.