Market Basket Analysis
Market Basket Analysis tells the story of what products people buy together.
Market Basket Analysis - tells you what your customers are buying together. What are all the combinations of products that make up the orders. 💡
This is the way to find out the combinations of orders that make up your highest volume or orders & revenue.
Are people buying more of product A + product B or product B + product C, etc.
This analysis will uncover associations between items!
You can use it to answer questions such as:
- What are customers buying in their orders?
 - Are the upsells you are testing working?
 - Should you be making product bundles?
 - What packaging should you optimize for?
 
Market Basket Table
for example
Accessing the Market Basket Analysis
To access the Market Basket Analysis slice:
- Navigate to the left side menu to the Essentials
 - Click on Market Basket Analysis.
 
Functionalities and Options
- Pick a date range for the table
 - Exclude Free
 - Include single item
 - Type. For example: variant, product type, etc.
 - Audience
 - Discount
 - Source medium
 - Add to the dashboard, share and export
 
Table Definitions
| Metric | Description | 
|---|---|
| Total Orders | The number of orders placed each day. | 
| New Orders | The number of first-time orders placed each day. | 
| Returning Orders | The number of repeat orders placed each day. | 
| AOV | Average amount spent by customers on each order placed | 
| New Sales | Sum of revenue on first-time orders = gross sales - discounts - returns + taxes + shipping charges. | 
| Returning Sales | Sum of revenue on repeat orders = gross sales - discounts - returns + taxes + shipping charges. | 
| Gross Sales | Sum of gross sales = product price x quantity (before taxes, shipping, discounts, and returns). | 
| Net Sales | Net sales does not include shipping charges or taxes. It will be a positive number for a sale on the date that an order was placed, and a negative number for a return on the date that an order was refunded. | 
Feedback and Comments?
We'd love to hear your experience with our new product analysis feature. Let us know! [email protected].
Updated 5 months ago
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