Shopify Metric
Revenue
Refund Rate = Total Refunded Amount in Period / Gross Sales in Period x 100
Refund Rate measures the proportion of your Shopify sales that gets returned to customers as refunds within a given period. It draws on the refund records attached to Shopify orders, so it captures both full order refunds and partial line-item adjustments. Tracked as a percentage of gross sales, it shows how much of your revenue does not stick.
Full guide: definition, formula, and benchmarksRefund Rate
Refund Rate measures the proportion of your Shopify sales that gets returned to customers as refunds within a given period. It draws on the refund records attached to Shopify orders, so it captures both full order refunds and partial line-item adjustments. Tracked as a percentage of gross sales, it shows how much of your revenue does not stick.
How to calculate refund rate
Why refund rate matters for Shopify users
Every refund in Shopify is revenue you recognised and then gave back, often alongside shipping costs, payment processing fees and restocking effort that you do not recover. A rising Refund Rate is an early warning that a product, a variant or a fulfilment route is not matching what customers expected at checkout.
Watching the trend lets you separate healthy returns from systemic problems. A spike tied to a single SKU points to a quality or sizing issue, while a broad rise across the catalogue can signal description accuracy, packaging damage or a delivery partner letting orders down.
Understand and act on refund rate with KPI Tree
Sync your Shopify orders and refund records into your warehouse and compute Refund Rate in KPI Tree, segmenting by product, variant, collection and fulfilment location so you can see exactly where refunds concentrate. Place it in a metric tree alongside average order value and cart conversion rate so the team can see how returns drag on the revenue you work hard to win.
Assign RACI ownership so a merchandising or operations lead is accountable for the number, with support owners on product quality and customer service. Set a weekly review cadence during peak trading and monthly otherwise, and trigger a review whenever the rate crosses an agreed threshold.
Get started with your Shopify data
Pull metrics from Shopify directly through the Model Context Protocol.
Connect your existing warehouse where Shopify data already lands.
Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.
Related Shopify metrics
Average Order Value
E-commerceMetric Definition
AOV = Total Revenue / Number of Orders
Average order value (AOV) is the mean monetary value of each completed order. It captures the combined effect of pricing, bundling, upselling, and promotional strategies on basket size.
Cart Conversion Rate
E-commerceMetric Definition
Cart Conversion Rate = (Completed Orders / Sessions with Add-to-Cart) × 100
Cart conversion rate is the percentage of visitors who add items to their cart and subsequently complete a purchase. It isolates the effectiveness of the post-browse, pre-checkout stage of the buying journey.
Checkout Conversion Rate
E-commerceMetric Definition
Checkout Conversion Rate = (Completed Orders / Checkout Starts) × 100
Checkout conversion rate is the percentage of visitors who begin the checkout process and successfully complete a purchase. It isolates conversion performance at the critical final stage of the buying journey.
Average Product Rating
E-commerceMetric Definition
Average Product Rating = Sum of All Ratings / Number of Reviews
Average product rating is the mean star rating across all customer reviews for a given product or your entire catalogue. It serves as a proxy for customer satisfaction and product quality perception.
Explore refund rate across integrations
All Shopify metrics
Empower your team to understand and act on Shopify data
Map what drives your metrics, measure progress at any grain, prove what works statistically, and deliver personalised action plans to every team member.