What is Basket Analysis?
Basket Analysis reveals which products are frequently bought together in the same order. By analyzing real purchase patterns, it helps you create effective product bundles, optimize cross-sell recommendations, and improve your merchandising strategy.
This dashboard is available under Product > Basket Analysis in the sidebar. Basket Analysis is a Pro plan feature.
How It Works
Datadrew analyzes every multi-product order in your Shopify store and identifies product combinations that appear together most frequently. For example, if many customers buy Product A and Product B in the same order, that combination will rank highly.
The analysis supports different combination sizes:
2-way combinations — Pairs of products bought together (e.g., "T-Shirt + Hoodie")
3-way combinations — Trios of products bought together (e.g., "T-Shirt + Hoodie + Cap")
4-way and 5-way combinations — Larger product bundles
Dashboard Controls
Time Period — Set the date range for analysis.
Breakdown By — Analyze combinations by Product Title, Product Type, Vendor, or SKU.
Combination Size — Choose to generate 2-way, 3-way, 4-way, or 5-way product combinations.
Basket Size — Choose between "X items or more" (any order with at least that many items) or "Exactly X items" (only orders with exactly that many items).
Filters — Refine results by product type, vendor, tags, and other attributes.
Reading the Results
The results table shows each product combination with the following metrics:
Column | Description |
Product Combination | The group of products bought together, displayed with product images |
Orders | Total number of orders containing this exact combination |
Total Sales | Total revenue from orders containing this combination |
Order % | Percentage of all orders (in the selected period) that contain this combination |
AOV | Average order value for orders with this combination |
New Orders | Number of orders from first-time customers containing this combination |
New Total Sales | Revenue from first-time customer orders with this combination |
Repeat Orders | Number of orders from returning customers containing this combination |
Repeat Total Sales | Revenue from returning customer orders with this combination |
Key Insights to Look For
High-frequency pairs — Product pairs that appear in many orders are natural bundle candidates. Consider offering them as a discounted bundle.
High AOV combinations — Combinations with above-average AOV indicate premium cross-sell opportunities.
New vs. Repeat split — If a combination is popular with new customers, it is a good acquisition bundle. If popular with repeat customers, it signals a strong cross-sell path.
Product Type patterns — Switch to the Product Type breakdown to see category-level bundling patterns (e.g., "Accessories + Apparel" combos).
Actions to Take
Create product bundles on your Shopify store based on top-performing combinations.
Set up "Frequently Bought Together" recommendations using your top 2-way combinations.
Build cross-sell email sequences that recommend Product B to customers who purchased Product A.
Use 3-way combinations to create premium bundle offers with a discount incentive.
Test running ads featuring your top product combinations rather than individual products.
Exporting Data
Click the Export CSV button to download the basket analysis data for further analysis or to share with your merchandising team.
Need help? Contact us at support@datadrew.io or use the in-app chat.
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Need help?
If you have questions or run into issues, reach out to us at support@datadrew.io or use the in-app chat. We're happy to help.
