- Formula
- Refunded transactions / total transactions
- Unit
- %
- Models
- Subscription, E-commerce
| All | 0.5%–5%EST | Omega Point estimate |
What it is
Refund rate measures the share of transactions that result in a full or partial refund within a given period. Formula: refunded transactions ÷ total transactions, expressed as a percentage.
How to calculate it
Count all transactions (purchases, subscription renewals, in-app purchases) completed in the measurement period. Count the subset that received a refund — either immediately or within the refund window (which may extend past the measurement period; define the window explicitly). Divide and express as a percentage. For subscriptions, distinguish between prorated cancellation refunds and dispute-driven refunds, as they have different root causes.
Why it matters
Refund rate is both a net-revenue signal and a platform-compliance signal. Apple and Google both monitor refund rates for app store compliance; sustained elevated rates can trigger warnings or removal. On the revenue side, refunds reduce realized revenue in the period they are processed and, if driven by involuntary patterns (billing errors, unclear pricing), indicate systemic problems that erode trust. High refund rates also strain customer support and can distort retention metrics if churned-via-refund users are counted differently from churned-via-cancellation users.
How to read it
There is no credible published band for refund rates from Apple, Google, or major payment processors — those figures are not disclosed as population benchmarks. Practitioner discussions in B2C subscription and e-commerce communities suggest that rates above 2–3% tend to attract scrutiny from payment processors and app stores, though the specific thresholds are not formally published.
As an Omega Point estimate — derived from payment processor risk thresholds (which are partially disclosed) and practitioner norms — a defensible directional range is 0.5–5% of transactions for B2C subscription and e-commerce products in normal operation. Below 1% is typical for a well-calibrated subscription with clear pricing. Between 2–5% often signals a billing confusion issue or aggressive auto-renewal that needs addressing. Above 5% is a risk threshold that warrants immediate investigation. These figures are directional; your internal trend and category context matter more than any external band.