Average Order Value (AOV) Calculator
Revenue ÷ orders for coherent slice/time—watch tax and shipping conventions.
Open calculator →Refund Rate Calculator
Refunded orders divided by fulfilled orders—how often sales slide backward.
Overview
Use this to estimate how often fulfilled orders turn into refunds. A high refund rate can point to product quality, unclear expectations, shipping damage, or traffic that never fit the offer.
When to use this calculator
- When refunds cluster after fulfillment and you suspect quality or traffic mismatch
- Before you confuse partial refunds with full reversals unless rules say so
- When attribution by order month argues with refund-month reporting
- When Shopify or storefront exports finally align on fulfilled denominator
Rule of thumb
Order-date versus refund-date reporting changes the headline—stay consistent cohort to cohort.
Terms used in this calculator
- Gross margin
- Sales minus COGS as a percentage of revenue—nothing below gross profit counted here.
- Conversion rate
- Share of a clear baseline group—visits, sessions, leads—that finished the goal you named.
Calculator
Refund rate
2.33%
Results are simplified estimates for educational purposes only and should not be treated as financial, accounting, legal, or tax advice. See our disclaimer for details.
Formula
Refunded orders ÷ fulfilled orders × 100.
Example calculation
Using the default example values from the JSON seed for this tool:
- Refunded orders
- 112
- Total fulfilled orders
- 4800
Result: 2.33% (Refund rate)
How to interpret this result
Refunded orders ÷ fulfilled orders for the rule set you adopt.
Partial refunds, fraud, and lag between order month versus refund month all deserve clear internal rules.
Signals product-market fit pains when paired with QA notes.
Common mistakes
- Fully counting partial refunds inconsistently cohort to cohort.
- Using gross orders versus fulfilled denominators interchangeably.
- Lumping fraud chargebacks with quality-driven refunds when ops separates them.
What to do next
Add margin, CPA, or support-cost reality when refunds trace back to fulfillment or sourcing.
How to improve this result
- Improve PDP accuracy when sizing claims drive avoidable refunds.
- Separate fraud chargebacks thoughtfully from quality-driven refunds.
- Coordinate CX scripts when goodwill refunds spike mechanically.
Recommended tools
- Google Ads Help Official documentation for campaign structure and measurement basics.
- Hotjar Heatmaps, recordings, and surveys to diagnose conversion friction.
- Shopify Commerce platform for building and scaling an online store.
FAQ
- Partial refunds?
- Pick a consistent rule—for example partial refunds as fractions of an order—or track partials separately.
- Return lag vs order date?
- Match reporting policy—strict order month vs refund month.
- Compared to SaaS churn?
- Different animal—commerce refunds behave on faster clocks.
- Fraud vs quality?
- Split chargebacks from quality refunds when data allows.
Related calculators
Gross Margin Calculator
Revenue minus cost of goods sold, expressed as percent of revenue.
Open calculator →Inventory Turnover Calculator
COGS over a period divided by average inventory value on hand.
Open calculator →Repeat Purchase Rate Calculator
Share of customers in your slice who bought more than once under your rules.
Open calculator →Affiliate disclosure
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