Refund Amount (by Order Date): Refunds Attributed to Orders

Refund amounts attributed to the original order date, enabling cohort analysis of which order batches experienced high returns.

Formula

Refund Amount (by Order Date) = SUM ( Refund Value ) GROUPED BY Original Order Date

Metadata
Type	Currency
Data Source	Shopify
Aggregation	Sum

Example

Orders placed in January generated $12,340 in refunds over the following months:

Month Ordered	Orders	Refund Amount	Refund Rate
January	1,847	$12,340	8.2%
February	2,103	$9,450	5.5%
March	1,956	$6,120	3.8%

January’s higher refund rate signals a potential product or fulfillment issue during that period.

How It Works

Unlike standard refund metrics that group by refund date, this metric attributes refunds back to when the original order was placed. A refund processed in April for a January order appears in January’s totals. This reveals which order cohorts generated the most returns.

When to Use

Scenario	Action
Cohort return analysis	Compare refund rates across order date cohorts
Campaign quality assessment	Identify if specific promotions drove low-quality orders
Seasonal pattern detection	Spot high-refund periods like post-holiday returns
LTV accuracy	Account for future refunds when calculating customer lifetime value

Metric	Relationship
Refund Amount	Standard refund total (grouped by refund date)
Refund Amount (by Refund Date)	Refunds grouped by when issued
Refund Count	Number of orders with refunds
Net Revenue	Gross revenue minus refunds and discounts

See all Adjustments metrics →

Refund by Refund Date Refund Gross Rate

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​Formula

​Example

​How It Works

​When to Use

​Related Metrics

Formula

Example

How It Works

When to Use

Related Metrics