The Shopify Fraud Prevention App That Goes Beyond the Native Indicator

Every Shopify store has Shopify's built-in fraud analysis — the red/yellow/green indicator on each order. The problem is what it checks: card BIN country, billing-to-shipping address match, and basic IP geolocation. These are 2010-era fraud signals designed for the most obvious card-not-present fraud patterns.

Sophisticated fraud actors — and increasingly, ordinary retail fraud — has adapted around these basic checks. A fraudster using a local VPN, a freshly opened account with a local billing address, and a prepaid card looks completely clean to Shopify's native indicator. The result: orders marked "low risk" that are fraudulent. The merchant ships. The chargeback arrives weeks later. The merchant loses the product, the revenue, the shipping cost and often a chargeback fee on top.

The gap in Shopify's fraud prevention system is that it looks at payment data signals only. It has no visibility into device behaviour, order velocity patterns, cross-merchant blacklists or the dozens of other signals that experienced fraud analysts use to identify suspicious orders.

Professional fraud review services (Signifyd, NoFraud) cover this gap but are priced for enterprise merchants — $200–$1,000/month before transaction-based fees. For mid-market Shopify merchants doing $100,000–$2,000,000 annually, these services are too expensive relative to fraud exposure. Fraud Heatmap fills this gap at a price point that makes sense for growing merchants.

Fraud Heatmap scores every Shopify order within seconds of placement using 12 independent risk signals. Each signal contributes to a 0–100 score. Orders above your configured threshold are automatically tagged for manual review. High-risk orders can trigger automatic holds. You see the full signal breakdown for any order with a single click.

The 12 signals include data points Shopify's indicator never checks: device fingerprinting (is this the same device that placed 5 other orders under different names?), address age analysis (how long has this shipping address been associated with any Shopify order?), email domain risk scoring (is this a disposable email address service?), and proxy and VPN detection (is the customer masking their true location?).

Combined, these signals catch the fraud that looks clean to Shopify — the mid-risk orders that experienced merchants have learned to be cautious about, and the "low risk" orders that are actually sophisticated fraud attempts. Merchants using Fraud Heatmap report catching an average of 4.7 fraudulent orders per month that Shopify's native indicator missed.