The average number of product units included in each new customer’s order.
| Metric | Definition |
|---|
| New Customer Units Sold | Total product units purchased by first-time buyers |
| New Customer Orders | Count of orders placed by first-time customers |
| customer_type = new_customer | Filter applied to both numerator and denominator |
| Metadata | |
|---|
| Type | Number |
| Data Source | Shopify |
| Aggregation | Ratio |
Example
Your store’s new customers averaged 2.4 units per order in January:
| Segment | Units/Order | Orders | Total Units |
|---|
| New Customers | 2.4 | 1,850 | 4,440 |
| Returning Customers | 3.1 | 2,200 | 6,820 |
| All Customers | 2.8 | 4,050 | 11,260 |
How It Works
This metric divides total units purchased by new customers by the number of first-time orders. It measures initial basket size behavior, helping you understand whether new customers buy single items or multiple products on their first visit.
When to Use
| Scenario | Action |
|---|
| Analyzing acquisition quality | Compare new vs. returning to spot basket size gaps |
| Optimizing product bundles | Track if bundle promotions increase first-order units |
| Evaluating channel performance | Identify which channels bring customers who buy more |
| Forecasting inventory | Project unit demand from new customer acquisition |
| Metric | Relationship |
|---|
| New Customer Units Sold | Numerator: total units from new customers |
| Units Per Order | Overall average across all customer types |
| Returning Customer Units Per Order | Comparison metric for repeat buyers |
| New Customers | Count of first-time buyers |
