Analyst Suite User Guides
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      Basket Contents

      Overview 

      The Basket Contents Dashboard analyzes the composition of transaction baskets, breaking down the diversity of basket contents. It identifies the percentage of baskets with single items, multiple items from the same category, and multiple items across categories. This tool helps brands, producers, and retailers understand customer purchasing behavior and basket complexity. 

       

      Key Metrics Available 

      • Basket Composition: 
        • Single-Item Baskets: Transactions containing only one item. 
        • Multi-Item Single Category: Transactions with multiple items from the same product category. 
        • Multi-Item Multi-Category: Transactions with multiple items spanning different product categories. 
      • Trending Basket Metrics: 
        • % of Transactions: Share of baskets categorized as single-item, multi-item single category, or multi-item multi-category. 
        • Total Basket Size: Average transaction size segmented by basket type. 
        • Total Items Per Basket: Average number of items per basket segmented by basket type. 
      • Basket Category Contents: 
        • % of Category Transactions: Distribution of basket types within each product category (e.g., Flower, Extracts, Vape). 
        • Basket Size by Category: Average basket size segmented by product categories and basket composition. 
      • Basket Brand Contents: 
        • Brand/Product-Level Drivers: Identify which brands and products are most commonly included in multi-item and single-item baskets. 
      • Customizable Filters: 
        • Category Levels: Drill into Category Levels 1–5 to analyze hierarchical groupings. 
        • Attributes: Filter data by Item Weight, Strain, THC/CBD levels, Cannabinoid Mix, and Live Extracts. 
        • Date Aggregation: View trends by day, week, month, quarter, or year. 

      Insights 

      • Basket Composition Trends: Understand the percentage of single-item versus multi-item baskets and their impact on basket size. 
      • Category Dynamics: Analyze which categories are frequently purchased together (multi-category) and drive larger basket sizes. 
      • Brand-Level Basket Drivers: Identify leading brands and products contributing to basket composition. 
      • Trended Basket Complexity: Monitor how basket types evolve over time and across product categories. 

       

      Pro Tips 

      • Use multi-item multi-category analysis to identify cross-selling opportunities between product categories. 
      • Monitor category-level basket size trends to assess which product types drive higher average basket values. 
      • Combine brand-level basket insights with composition data to identify upselling strategies for key products. 

       

      Support 

      For additional help or tutorials, access the Metric Glossary & Video Tutorials link available within the dashboard.