The count of distinct customers who placed at least one order in the period.
Unique Customers = COUNT DISTINCT ( Customer ID ) WHERE order placed in period
| Metric | Definition |
|---|
| Customer ID | Unique identifier for each customer from Shopify |
| Metadata | |
|---|
| Type | Number |
| Data Source | Shopify |
| Aggregation | Count Distinct |
Example
Your store served 2,847 unique customers in February:
| Week | Unique Customers | Orders | Avg Orders/Customer |
|---|
| Week 1 | 712 | 892 | 1.25 |
| Week 2 | 684 | 821 | 1.20 |
| Week 3 | 756 | 934 | 1.24 |
| Week 4 | 695 | 847 | 1.22 |
How It Works
Each customer is counted once regardless of how many orders they placed. A customer who placed 5 orders counts the same as one who placed 1 order. This metric uses Shopify customer identifiers to deduplicate across the selected time period.
When to Use
| Scenario | Action |
|---|
| Measuring acquisition reach | Track unique buyers separate from order volume |
| Calculating repeat rate | Compare unique customers to total orders |
| Sizing customer base | Understand how many people you served |
| Cohort analysis | Track unique customers by acquisition period |
| Metric | Relationship |
|---|
| New Customers | First-time buyers subset |
| Returning Customers | Repeat buyers subset |
| Orders | Total order count (may exceed unique customers) |
| Avg Orders Per Customer | Orders ÷ Unique Customers |
