ChargebackShield analyzes every order in real time, builds risk profiles on every customer, and gives you the evidence to win disputes — without touching your checkout.
Refund abuse isn't random. The customers who exploit your return policy follow patterns — multiple refund requests, reused addresses, velocity spikes, suspicious order timing. But those patterns are invisible when you're reviewing orders one at a time.
By the time you realize the same customer has cost you $800 across six orders, you've already processed every refund.
ChargebackShield connects to your Shopify store in minutes and immediately starts analyzing orders against 13 behavioral risk signals. Every customer builds a risk profile over time. Every order gets a score. You always know where your exposure is — and what to do about it.
See LOW, MED, or HIGH risk on every order — the moment it arrives.
ChargebackShield analyzes 13 behavioral signals the instant an order is placed: refund history, address clustering, velocity spikes, card testing patterns, disposable email detection, and more. Each order gets a clear risk score and a breakdown of exactly which signals triggered it — so you know where your exposure is without digging through spreadsheets.
Turn dispute losses into wins with AI-generated response letters.
When a chargeback lands, what you submit matters more than whether you fight it. ChargebackShield analyzes the dispute type, pulls your order data and customer history, and generates a complete tailored dispute response letter in under 30 seconds. Review it, adjust if needed, and submit — with the right evidence and language to maximize your win rate.
See every customer's complete refund history before you process anything.
ChargebackShield builds a persistent risk profile for every customer — tracking refunds, disputes, addresses, and behavioral patterns across all their orders. Before you process a refund, open the Pre-Check tool and see their full history instantly. No more guessing whether a request is legitimate.
All flagged orders in one place, sorted by risk level. Your team always knows where to look first.
High and medium risk orders are automatically tagged in Shopify admin. Spot them without opening ChargebackShield.
Automatically hold HIGH-risk orders before they fulfill. You set the threshold. The app does the rest.
Get an instant notification when a high-risk order arrives. Never miss a flag, even on your busiest days.
Connect ChargebackShield risk signals to your existing Shopify Flow automations for custom workflows.
See exactly how much revenue ChargebackShield has protected for your store. The number grows every month.
Most chargebacks aren't lost because merchants are wrong — they're lost because the evidence is weak. ChargebackShield fixes that.
Add ChargebackShield from the Shopify App Store — no developer, no code, no setup complexity. We immediately backfill up to 750 of your existing orders so your risk profiles start with real history from day one.
As orders arrive, ChargebackShield analyzes them against 13 risk signals in the background. Your checkout is untouched. Each customer builds a risk profile that gets more accurate the longer you use the app.
Review flagged orders in your queue. Check a customer's full history before issuing a refund. Set automated holds for HIGH-risk orders. When disputes arrive, generate a winning response letter in seconds.
Every order gets a risk score based on the customer's behavior across all their orders. Here's what each level means:
No significant risk signals detected. Customer has a clean history. Process with confidence.
One or more risk signals detected. Review the order before fulfilling. Customer history worth checking.
Multiple risk signals triggered. This customer matches patterns associated with refund abuse. Hold, investigate, or flag before proceeding.
Install ChargebackShield in minutes and see your first risk scores before your free trial ends. No credit card required.
Install Free on Shopify7-day free trial on Starter and Growth plans. Cancel anytime, no questions asked.