🛒 Market Basket & Co-Purchase Intelligence
Which product categories do customers buy together in a single order? Market basket analysis answers this question with three complementary metrics.
Support = % of all orders that contain both categories. Confidence A→B = % of Category A orders that also include Category B. Lift = how much more (or less) likely a pair co-occurs compared with chance. Lift above 1 means positive affinity; lift below 1 means customers rarely combine those categories.
Basket Overview
Orders Analyzed
Avg Categories per Order
Multi-Category Orders %
Avg Basket Value
Category Co-Purchase Affinity — Lift Heatmap
Each cell shows the lift between two categories. Values above 1.0 mean customers buy those two categories together more often than chance alone would predict. Darker cells = stronger positive affinity.
Co-Purchase Network
Each node is a product category, sized by how many orders it appears in. Edges connect categories frequently bought together; thicker edges = more co-purchases. Hover over a node to highlight its connections. Scroll to zoom, drag to pan.
Top Association Rules by Lift
Sorted by lift (strongest positive affinity first). High-lift pairs with solid support make the best cross-sell candidates.
Top Pairs by Co-Purchase Volume
Highest absolute co-purchase counts — useful for sizing the cross-sell opportunity.
Basket Size Distribution
How many distinct product categories do customers typically include in a single order?
Monthly Multi-Category Order Rate
Is cross-category buying increasing or declining over time?