Dashboard
Return feed with risk scores, chargeback and double-dip indicators, signal frequency breakdown, and savings tracking.
RefundSentry catches the return fraud and refund fraud your existing tools miss. Works alongside Loop, AfterShip, and Shopify Native, not instead of them. Backfills 12 months on install so hidden losses show up on day one.
14-day free trial • No charge until trial ends • Plans from $49/mo • Cancel anytime
Lost to return fraud annually
of returns are fraudulent
Average cost per chargeback
Source: National Retail Federation 2024 Return Fraud Report
Where RefundSentry fits
Signifyd, Riskified, and Shopify Fraud Analysis decide one thing: should this order be approved at checkout? RefundSentry covers everything after that. Pre-ship behavior, return-window abuse, refund-method switches, and chargeback risk.
Checkout payment risk
Shopify Fraud Analysis
Pre-ship behavior
RefundSentry
Return window
RefundSentry
Post-refund behavior
RefundSentry
Chargeback patterns
RefundSentry behavioral context
Complementary coverage. RefundSentry does not replace Shopify Fraud Analysis or your returns app.
Simple Setup
From order placement to return resolution: fraud coverage at every step, no rip-and-replace.
Install RefundSentry from the Shopify App Store and connect it to the returns workflow you already use.
Setup in minutesEvery new order is checked against behavioral risk signals like prior returns, bracketing patterns, high-abuse SKUs, velocity, and known-abuser history before fulfillment begins.
Pre-ship intelligenceHigh-risk orders are automatically held. Your team reviews and releases with one click, preventing losses before they happen.
Prevent, don't chaseReturns are scored with 80+ signals. Tag customers, block repeat abusers, and see risk context directly in Shopify Admin.
Full lifecycle coverageEngineering, ML, and the architecture decisions behind RefundSentry.
Most fraud-detection apps treat each merchant as an island. Their data does not flow between merchants. RefundSentry's database is built so it does. Here is the structural choice that makes the network effect real.
If your fraud tool only sees Shopify Returns, it is blind to half your refund flow. Loop, Returnly, and AfterShip merchants never produce native return records. Here is why we use refund data, not return data, as the universal fraud label.
Three customer accounts, two addresses, one operator. The pattern that small DTC merchants see every quarter and don't have language for. Here is the graph-shaped data model that makes them visible.
The first version of our scoring engine produced a dashboard where eight fraud chargebacks all sat in the LOW zone. The problem was not the model. It was the absence of a per-merchant baseline. Here is what we tore out, what we kept, and how the calibrated v2 formula works.
Most fraud tools install in five minutes and then ask you to wait three months for any data to accumulate. Here is how RefundSentry backfills 12 months of historical orders, refunds, and chargebacks at install time so the first dashboard view is the merchant's own historical fraud picture.
A 365-day raw event store sounds like overkill until you try to investigate a fraud chargeback that landed three months ago. Here is what we keep, why we keep it, and what we do with it.
Every plan includes the full feature set. Tiers are based on rolling 30-day order volume, not returns scanned. More than 12,000 orders/month? Contact us for a private high-volume plan.
Complete return-abuse intelligence for up to 1,000 orders per month (rolling 30 days). Includes a 14-day trial.
Complete return-abuse intelligence for up to 3,000 orders per month (rolling 30 days). Includes a 14-day trial.
Complete return-abuse intelligence for up to 6,000 orders per month (rolling 30 days). Includes a 14-day trial.
Complete return-abuse intelligence for up to 12,000 orders per month (rolling 30 days). Includes a 14-day trial.
Every plan includes
All plans include a 14-day free trial. Cancel anytime. Need higher limits? Contact us for a private plan.
For a new app, trust starts with clarity: what gets installed, what data stays out of scope, and how RefundSentry fits into the tools you already use.
Shopify customer IDs and SHA-256 hashes of email and phone for cross-store matching. No raw names, emails, addresses, or payment data ever touch our database.
Return behavior analysis without building personal customer profiles. GDPR-ready from day one.
Returns are analyzed during webhook processing so your team sees new risk signals as activity comes in.
Add-on to your existing returns workflow. No need to replace Shopify Native, Loop, AfterShip, or ReturnGO.
Shopify Native
Built for Shopify
Webhook-based
Scores as events arrive
Customer tagging
Risk labels in Shopify
Shopify billing
No external payments
FAQ
Score orders, hold risky fulfillments, detect return abuse, and predict chargebacks, all from one app that works with your current stack.
Real patterns that generic rules and manual review miss. Detected automatically, scored by severity, and escalated when they repeat.
Customer buys an $800 dress, returns it 3 days after a weekend event. Tags reattached, perfume traces.
Pattern match: high-value item, weekend return timing, and a history of single-wear returns across 4 prior orders.
Three 'different' customers place orders a day apart. All ship to the same address. All return the same category.
Shared-address clustering links accounts automatically. Combined return velocity pushes all three into high-risk.
Customer pays with store credit from a previous return, then requests a cash refund. The mismatch is invisible in Shopify.
Refund-method-switch signal fires when payout differs from original payment. Combined with store-credit origin.
12 orders, 9 returns in 60 days. Each reason is slightly different: 'didn't fit', 'not as described', 'changed mind'.
Velocity signals escalate with severity: 9 returns scores differently than 3. Reason clustering groups varied excuses into one pattern.
Plus bracketing, exchange churning, holiday surge patterns, delivery timing, chargeback prediction, and dozens more, all learning from your outcomes.
See all 80+ signalsShopify shows you a flat list. RefundSentry shows you why it keeps happening.
Return Reason Clusters
Classic Fit Tee, Size L
+340%Returns spiked after supplier change. Size L specifically affected.
Double-Dip Fraud Alert
CRITICALCustomer kept refund on Order #4812, then claimed chargeback.
Signal Accuracy
Auto-tuning recommends disabling Weekend Timing for your store
Return Reasons
| Product | Reason | Returns | Rate |
|---|---|---|---|
| Classic Fit Tee | Size too small | 23 | 12% |
| Classic Fit Tee | Doesn't fit | 14 | 12% |
| Classic Fit Tee | Other | 8 | 12% |
| Slim Joggers | Defective | 11 | 8% |
| Slim Joggers | Wrong item | 3 | 8% |
| Wool Cardigan | Not as described | 7 | 6% |
| Wool Cardigan | Changed mind | 5 | 6% |
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Real screenshots from the app: return feed with risk badges, fulfillment hold queue, and fraud ring detection.
Dashboard
Return feed with risk scores, chargeback and double-dip indicators, signal frequency breakdown, and savings tracking.
Fulfillment hold queue
Orders paused before shipping, with hold reasons, customer risk, and one-click release.
Chargeback analytics
Total chargebacks, double-dip detection, value at risk, and repeat offender tracking.
Fraud ring detection
Linked customer clusters, shared addresses, and coordinated return patterns, surfaced automatically.
Customer intelligence
Risk scores, return trajectories, and one-click block/watch for every customer.
Screenshots captured from the real app with demo data. Click to zoom.
Autonomous Engine
No manuals, no spreadsheets, and no configuration. RefundSentry quietly learns from how your returns actually turn out and tunes itself to your store.
RefundSentry immediately maps 12 months of historical data to build your unique merchant risk baseline. Every return is scored against 80+ signals on day one.
12-month backfill complete
RefundSentry groups similar shoppers together and learns what normal looks like for each one, from order habits to sizing. It picks this up on its own, with nothing for you to set up.
Hands-free, no setup
RefundSentry watches how each flagged return actually turns out, including chargebacks and disputes. Signals that prove accurate for your store count for more, and noisy ones count for less.
Active from week 1
Scoring keeps tuning itself in the background, within safe limits, so your protection stays accurate to your store without any work from you.
Zero administrative overhead
Built-in guardrails keep every adjustment within safe limits · fully automated · every change logged · zero raw PII stored