Monitor
Returns & Refunds
The post-refund operator view. Works for native, third-party, and manual refund flows.
Returns & Refunds is the operator’s post-refund view: every refund event RefundSentry has scored, with the linked native return when one exists. It works whether you use Shopify’s native Returns API, a third-party app (Loop / Returnly / AfterShip), or manual refunds with no return workflow at all — refunds are the canonical source of truth.
Columns
- Return ID— Searchable. Synthetic for refund-only flows.
- Customer— Searchable by Shopify customer ID.
- Type— Damaged / Defective / Wrong Item / Not As Described / etc. Derived from the return-reason cluster.
- Risk zone— HIGH / MEDIUM / LOW badge.
- Score— 0–100 with the top contributing signals.
- Refund amount— What was paid out.
- Return count— How many refunds this customer has had with you.
- Window state— Whether the refund is inside your return-policy window.
Tabs and filters
- Opentab — native returns awaiting your decision (REQUESTED or APPROVED with no refund yet). This is the tile the dashboard’s “Open returns” KPI links to.
- Alltab — everything refunded in the date range.
- Return type, Risk zone, and Window state chip filters.
- Moremenu — Status and Flags filters (chargeback, fraud-ring member, inside/outside window, watched).
- CSV export— up to 10K rows inline. Larger exports run as a background job and email you a link.
Refund-first, not return-first
Every row is keyed on a refund event. If Shopify has a native return attached, the table shows it (type, items, dates). If there’s no native return — common when you process refunds through Shopify admin directly or via a third-party app — the row still appears with whatever metadata we can recover. This means the page is fully populated even for shops that never use Shopify’s Returns API.
Return detail page
Clicking a row opens the full breakdown: signal contributions, customer history, line items, the linked order, the refund timeline, and the action audit trail. From here you can tag the customer, add a note, escalate, or kick off a workflow.
Next steps
- Understand the signal mix on a refund event.
- Drill into the customer profile behind a risky return.