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Metrics type: Supporting MetricsCategory: Payment Gateway

At a glance

Total amount refunded to customers via Square in the period (/v2/refunds). Refunds in retail-led Square stores are typically 2, 5% of volume; ecom-led merchants run 5, 12%; subscription / SaaS-via-Square run lower (1, 3%). Spikes signal product issues, fulfilment errors, or a bad ad campaign sending unqualified buyers.

Calculation

Calculated automatically from your Square data. See the At a glance summary above for what the metric tracks and the worked example below for a typical reading.

Worked example

30 days for the Austin bookshop: Total volume: USD 129,020. Refund-volume ratio: 1.4%. Reads:
  1. 1.4% refund ratio is excellent for a bookshop. Books are mostly returnable but rarely are; pricing transparency, low-defect-rate physical goods, and walk-in foot traffic (customer can inspect before buying) all suppress refunds. Compare to apparel ecom which runs 15, 30% return rates.
  2. Online refund-rate (USD 482 / USD 21,300 = 2.3%) is materially higher than POS (USD 612 / USD 85,780 = 0.7%). Universal: ecom returns are 3, 5x retail returns due to absence of pre-purchase inspection.
  3. One USD 590 refund is the cancelled preorder (a multi-volume hardback set). A single large refund can dominate the absolute number for small merchants. Always slice by amount to see whether refund spikes are spread or concentrated.

Sibling cards merchants should reference together

Reconciling against the vendor’s own dashboard

Where to look in the Square Dashboard:
Reports → Refunds with the same date range.
Common divergences: Cross-connector reconciliation: refund volumes between the commerce platform (Shopify / BigCommerce) and the PSP (Square) should match for the online subset; commerce-platform refunds for non-Square gateways won’t appear here.

Known limitations / merchant FAQs

“What’s a healthy refund-volume ratio?” Industry-dependent. Books / homeware: 1, 3%. Apparel / shoes: 15, 30% (try-on returns). Digital / SaaS: <1%. Restaurants: <0.5%. Compare yourself to your peer benchmark, not a generic number. “Square Refund vs Square Void, difference?” A void cancels an authorisation that hasn’t been captured yet (no money moved). A refund returns money already captured. Voids don’t count here; only refunds do. “Cash refunds, do those count?” Yes if rung up through Square POS as a cash refund. Pure off-system cash refunds (handed cash without ringing it up) don’t appear in any API. “Same-day refunds, do they net against same-day volume?” Not in this card. The volume card and refund card are independent. Same-day refunds appear in both. “Subscription cancellations with prorated refund, how counted?” Square Subscriptions issues a /v2/refunds with the prorated amount. That’s the value here. Full original sale stays in the volume card. “Multi-location, can I see refunds per location?” Yes; /v2/refunds carries location_id via the linked payment. Slice in the underlying data. “Refund processing fees, are they refunded too?” Square refunds the processing fees on a refund (no fee asymmetry). This card reads only the customer-refunded amount, not the fee component. “Why do I see a refund for a payment from 5 months ago?” Square allows refunds up to 1 year from the original payment for cards. Period attribution: refund is counted in the refund period, not the original-sale period. So a Q1 sale refunded in Q3 increases Q3’s refund volume.

Tracked live in Vortex IQ Nerve Centre

Refund Volume is one of hundreds of KPI pulses Vortex IQ tracks across Square and 70+ other ecommerce connectors. Nerve Centre runs the detection layer; Vortex Mind investigates the cause when something moves; Ask Viq lets you interrogate any number in plain English. Start for free or book a demo to see this metric running on your own data.