Use Case
Market Basket Analysis with Alteryx One
Discover product affinities that drive cross-sell and basket growth with governed analytics and automated market basket (MB) tools.
Discover product affinities that drive cross-sell and basket growth with governed analytics and automated market basket (MB) tools.
Market basket analysis helps retailers uncover hidden product relationships, increase basket size, and drive incremental profits. Mastercard reports that a leading retailer achieved a 30% increase in promotional ROI using advanced market basket analytics to refine offers and product placement. Yet, merchandising, pricing, and marketing teams often lack visibility into how products influence each other or how promotions impact baskets. Alteryx One connects transaction, loyalty, and customer data in a unified workflow. Using MB Affinity, MB Rules, and MB Inspect tools, teams identify co-purchase patterns, measure lift and confidence, and segment affinities by store or demographic, turning raw transactions into actionable insights.
Large volumes of SKU and loyalty data make affinity analysis slow and difficult to scale.
Teams struggle to identify which product combinations truly increase basket value.
Without proper modeling, teams cannot distinguish between cannibalization and uplift.
Co-purchase behaviors vary across customer types and seasons but are not modeled effectively.
Alteryx One automates market basket analysis with out-of-the-box MB tools that identify affinities and model co-purchase behavior. By blending transaction, promotion, and customer data, teams detect cross-sell opportunities, assess campaign ROI, and forecast outcomes. Governed workflows ensure transparency and repeatability so merchandising, pricing, and marketing teams can act on reliable, explainable insights.
Integrated data access
Connects POS, loyalty, and promotion data for complete basket-level visibility.
Automated workflows
Applies MB affinity, MB rules, and MB inspect tools to find and visualize co-purchase relationships.
Advanced analytics & AI
Uses predictive models and what-if simulations to forecast promotion and placement outcomes.
Governance
Embeds business rules, category constraints, and audit trails into affinity models for explainable insights.
Stronger cross-sell performance driven by accurate product affinities
Faster insight generation through automated, governed workflows
Reduced manual effort and improved visibility into promotional outcomes
Consistent, explainable analytics that build trust across merchandising teams
Up to 90%
reduction in manual data processes
“Prior to using Alteryx, we had a huge challenge bringing data together and it was impossible to do this with the technology we had at the time. We couldn’t present the business with a global view of data.”
David Elliott, Analytics Manager
Mayborn Group
Centralizes POS and loyalty data for detailed co-purchase analysis
Uses MB affinity, MB rules, and MB inspect tools to surface relationships without coding
Tests product, pricing, and promotion strategies before rollout
Embeds validation and audit logic to ensure transparency in model outputs
Automates dashboards that monitor basket performance and campaign effectiveness
