RefundSentryShopify Return Fraud Get my free audit

The RefundSentry report · Example

A fashion store refunded $847,000 last year.

Of that, RefundSentry spots 18 fraud and abuse patterns, automatically. Here is which ones, and what each one cost this store. Example on a fictional store; connect yours and it runs on your real Shopify data.

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🔒 app.refundsentry.com/report

RSRefund leak statement

Fashion store · last 12 monthsExample

1 · The money

Refunded over 12 months

$847,000

2,140 refunds · 1,980 customers · approx $70,600/mo

JulOctJanAprJun

Share showing abuse

$44,000

the sum of the 6 active patterns below. The rest is not flagged by these patterns.

Risk distribution 18,400 historical orders scored

95.9% · Low

4.0%

Low (nothing to flag)

Medium · 736 orders

High · 18 orders

Every order, return and refund scored 0 to 100

Your store's version of this page builds from a year of your real data.Get my free 12-month fraud audit →

2 · The patterns we catch

Fraud and risk patterns found in your history 6 active here

🔄Repeat refunders

A handful of customers concentrate most of your losses.

We cross-check:personal return rate > 50% · over 3 orders or more · customer > 2% of your returns

$12,400 flagged

🚚"Item not received" disputes

The carrier says delivered, the customer says no.

We cross-check:carrier-confirmed delivery · disputed < 24h · history of "not received" claims

$9,800 flagged

👗Worn once, returned as new

Worn for the event, sent back right before the window closes.

We cross-check:"did not like it" reason on occasionwear · return < 72h after a weekend delivery · return rate > 2x your store

$7,600 flagged

📦Bought 8, kept 1

Orders every size, keeps one, sends the rest back. Every month.

We cross-check:multiple variants of the same product · keep rate < 30% · batched returns within 72h

$6,200 flagged

💳Double refund

Return approved, then a bank dispute on the same order.

We cross-check: refund already issued · bank dispute on the same order · tracked delivery

$4,900 flagged

⚠Repeat chargeback offender

Already charged back against you, orders again and you reship.

We cross-check: chargeback already lost · new order from the same customer or the same address

$3,100 flagged

🌐Cross-store network

Unknown to you, already flagged at other stores in the network.

We cross-check: customer or address already flagged at other merchants on the Shopify network

4 customers flagged

🏠Multiple accounts, one address

Several accounts, one address, to get around your limits.

We cross-check: same address fingerprint across multiple accounts · different emails

2 clusters found

🏷Promo-code abuse

Returns at full price, rebuys with the new code.

We cross-check:return then rebuy of the same item < 7d · at the new code price

✓ Watched, nothing this month

📷Fake damage or no return

Refunded with no real return, or a reused damage photo.

We cross-check: refund with no return shipment · damage photo seen on another customer

✓ Watched, nothing this month

💸Refund-method switch

Switches to a risky refund channel after delivery.

We cross-check: unusual change of refund method · after delivery

✓ Watched, nothing this month

🎁Risky new account

Account created today, large order paid for express.

We cross-check: account created the same day · high-value order · express shipping

✓ Watched, nothing this month

📭Empty box returned

Sends back an empty box, or a different item than the one bought.

We cross-check: weight mismatch on the return · scanned item different from the purchase

✓ Watched, nothing this month

📍Risky address

Delivery to a freight forwarder, a hotel, or a reshipping point.

We cross-check: freight-forwarder, hotel or reshipping address · high-value order

3 addresses flagged

⚡Address velocity

Lots of accounts or orders on a single address, in a short time.

We cross-check: number of accounts or orders on an address · over a short window

✓ Watched, nothing this month

🧩Recurring "missing item"

Claims an item is missing from the box, order after order.

We cross-check:repeated "missing item" claim · across several orders from the same customer

✓ Watched, nothing this month

🎉Referral abuse

Multiple accounts to stack welcome and referral codes.

We cross-check: linked accounts · stacked welcome and referral codes · same device or address

✓ Watched, nothing this month

🏦Friendly fraud (abusive dispute)

Disputes with the bank even though the order was delivered.

We cross-check:"not received" or "not recognized" dispute · order delivered and tracked · no return requested

✓ Watched, nothing this month

✓All 18 run continuously on every order, return and refund. Here, 6 are leaking ($44,000); the rest are watched, clean this month.

3 · The proof, and who to watch

Customer watchlist to review

Customer	Score	Refunds	Total
Account #4821+4 stores	96	7	$3,240
Customer · M. D.	91	6	$2,180
Account #7390	88	5	$1,920
Customer · L. B.	74	5	$1,640
Account #2255	68	4	$1,310
Customer · A. R.	61	4	$1,120

"Item not received" disputes carrier evidence

$1,120✓ UPS · Delivered 03/14 · signature recorded
The customer disputes "never received". The delivered scan is on file.
$860✓ FedEx · Delivered 04/02 · delivered scan
Delivery scan pulled straight from the carrier.
$740✓ USPS · Held for pickup · collected 04/11
Parcel collected at a pickup point, timestamped.

Of 18 disputes ($9,800), 14 had carrier evidence to review. Evidence Shopify does not surface.

Order score

HIGH RISK

▸ Already charged back elsewhere

▸ Address linked to fraud

▸ Seen on the cross-store network

▸ Parcel proven delivered (not-received dispute)

Cross-store network network signal

This customer is unknown to you, already flagged at 4 other stores in the network.

When a customer orders from you for the first time, RefundSentry already knows whether they have charged back or abused returns elsewhere on the Shopify network. That is the blind spot native analysis does not cover: it looks at the payment, not the return behavior.

✓Illustrative example on a fictional store. Your report is computed on your real Shopify data, not estimates.

How to read this example

Methodology

Period

The audit covers up to the previous 12 months. The exact history available to your store is shown after installation.

Amount meaning

A flagged amount is refunded value connected to a detected pattern. It is not a savings promise or a claim that every dollar can be recovered.

Overlap and total

A refund can match more than one pattern. The flagged total is deduplicated, so category amounts explain the findings but should not be added together.

See this report on my store →

Three views your Shopify admin gives you nowhere

The sum, not the line

Shopify shows you refunds one by one. We give you the total for the year, the ranking by customer, and who to review.

☻

The customer, not the order

Who really costs you. The repeat offenders, the customers who order four and keep one, and the ones already flagged elsewhere on the network.

📦

The proof, not their word

For "never received" disputes, we pull the proof of delivery from the carrier, where Shopify stays silent.

Yours already exists. It just needs to be connected.

Install RefundSentry, we score a year of your history, and your report builds itself. Then you see who to watch, which disputes to contest with evidence, and which customers to review. You decide, RefundSentry scores.

Get my free 12-month fraud audit →

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RefundSentry · refund-abuse intelligence layer for Shopify · the figures above are an example on a fictional store