Cost per Refund: Ad Spend Efficiency for Refunded Orders

Cost per Refund measures the average advertising spend associated with each refunded order on your Shopify store.

Formula

Cost per Refund = Channel Spend ÷ Refund Events

Formula Components

Metric	Definition
Channel Spend	Total advertising spend across all channels in the selected period
Refund Events	Total number of refund events tracked by the Upstack pixel

Metadata
Type	Currency
Data Source	Upstack Pixel
Aggregation	Ratio

Example

Your Shopify store spent $10,000 on advertising in January and recorded 50 refunded orders tracked by the Upstack pixel.

Metric	Value	Calculation
Channel Spend	$10,000	Total ad spend
Refund Events	50	Total refunds tracked
Cost per Refund	$200.00	$10,000 ÷ 50

How It Works

Cost per Refund divides your total advertising spend by the number of refund events tracked by the Upstack pixel. This metric helps you understand how much ad budget is effectively “lost” when customers request refunds. Lower values indicate fewer refunds relative to your ad spend.

When to Use

Scenario	Action
High refund rates from specific channels	Investigate product-market fit or ad targeting for those channels
Monitoring acquisition quality	Compare cost per refund to cost per purchase to assess order quality
Evaluating ad creative performance	Identify if certain creatives attract customers more likely to refund
Seasonal refund analysis	Track how refund costs fluctuate during peak shopping periods

Metric	Relationship
Cost per Purchase	Primary conversion cost metric; compare to assess order quality
Channel Spend	Numerator in the formula
Purchases	Total orders to compare against refund volume

See all Conversions metrics →