Returning Customers: Repeat Buyers in Period

The count of customers who placed orders and have at least one prior purchase on record.

Formula

Returning Customers = COUNT DISTINCT ( Customer ID ) WHERE customer_type = returning_customer

Formula Components

Metric	Definition
Customer ID	Unique identifier for each customer from Shopify
customer_type = returning_customer	Filters to customers with at least one prior purchase

Metadata
Type	Number
Data Source	Shopify
Aggregation	Count

Example

Your store served 1,847 returning customers in February:

Week	Returning Customers	New Customers	Total Unique
Week 1	428	284	712
Week 2	412	272	684
Week 3	467	289	756
Week 4	540	155	695

Your returning customer base grew throughout the month as early February buyers placed repeat orders.

How It Works

Shopify tracks each customer’s purchase history. A returning customer is anyone who has completed at least one order before the current one. This metric counts distinct returning customers—each repeat buyer counts once regardless of how many orders they placed in the period.

When to Use

Scenario	Action
Tracking retention success	Monitor growth in repeat buyers month over month
Evaluating loyalty programs	Compare returning customer counts before and after initiatives
Sizing your repeat buyer base	Understand how many loyal customers are actively purchasing
Cohort retention analysis	Track which acquisition cohorts produce the most repeat buyers

Metric	Relationship
New Customers	First-time buyers (the complement)
Unique Customers	Total distinct customers (New + Returning)
Returning Customer %	Returning orders as percentage of total
Returning Customer Gross Revenue	Revenue from repeat buyers

See all Customers metrics →

New Customers New Customer %

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​Formula

​Formula Components

​Example

​How It Works

​When to Use

​Related Metrics

Formula

Formula Components

Example

How It Works

When to Use

Related Metrics