RefundWin
Demo — Select a merchant scenario to begin
The Problem
86% of consumers never contact the merchant before disputing a charge with their bank. They skip you entirely — going straight to the “super-refund” button at their bank, costing you $4.61 for every $1 in chargebacks.
With 80% of all disputes now classified as friendly fraud, most of these aren't bad actors. They're confused customers who didn't recognize a charge, forgot about a subscription, or simply found it easier to call their bank than to find your support page.
The QuickRefund Solution
QuickRefund acts as a trusted third party— intercepting consumers at the exact moment they're considering a bank dispute and routing them into a resolution experience instead. By reaching consumers via email or SMS through the merchant's payment processor, RefundWin creates a neutral, consumer-friendly touchpoint that resolves issues before they ever become chargebacks.
The result? Your refund process — traditionally a pure cost center — becomes a self-funding intelligence engine. RefundWin doesn't just prevent chargebacks. It captures resolution data, deflects unnecessary refunds, and surfaces targeted retention offers that turn lost revenue into new revenue.
How it works
When a consumer initiates a refund, they're greeted by a friendly, guided chat experience delivered via email or SMS from the merchant's payment processor. The conversation is designed with the consumer's experience first — no pressure, no friction.
The chat starts by addressing the refund issue head-on. In many cases, the issue resolves itself — descriptor confusion(the customer didn't recognize the charge on their statement), a forgotten subscription, or a simple misunderstanding. When that happens, the refund is deflected naturally, without the consumer ever feeling pushed away.
When a legitimate refund is warranted, RefundWin presents personalized retention offers tailored to the product category — turning the Point of Churn into a revenue opportunity. Each merchant scenario below demonstrates how different offer sequences adapt to the context.