The count of distinct customers making their first-ever purchase in the period.
| Metric | Definition |
|---|
| Customer ID | Unique identifier for each customer from Shopify |
| customer_type = new_customer | Filters to customers with no prior purchase history |
| Metadata | |
|---|
| Type | Number |
| Data Source | Shopify |
| Aggregation | Count |
Example
Your store acquired 1,247 new customers in March:
| Week | New Customers | NC Orders | NC Revenue |
|---|
| Week 1 | 312 | 318 | $24,560 |
| Week 2 | 287 | 295 | $22,140 |
| Week 3 | 341 | 352 | $27,830 |
| Week 4 | 307 | 319 | $25,470 |
How It Works
A customer is classified as “new” based on their entire purchase history with your store, not just the selected period. If someone has never ordered before and places their first order during the reporting period, they count as a new customer. This classification uses Shopify’s customer records to verify first-purchase status.
When to Use
| Scenario | Action |
|---|
| Measuring acquisition | Track how many first-time buyers you’re acquiring |
| Ad performance analysis | Evaluate campaigns by new customer generation |
| Growth forecasting | Use new customer trends to project future revenue |
| CAC calculations | Combine with ad spend to calculate customer acquisition cost |
| Metric | Relationship |
|---|
| Unique Customers | Total distinct customers (New + Returning) |
| Returning Customers | Complement to new customers |
| New Customer % | New Customers as percentage of orders |
| New Customer Gross Revenue | Revenue from new customers |
