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Authorize Earth logo

Authorize Earth

Develop by Shopify
Free plan available

Prevent fraud with customizable risk thresholds and automatic order verification.

Customizable risk thresholds
Automatic order verification
Address matching
Payment validation
Fraud detection rules
Action mapping
Built-in analysis tool

About Authorize Earth

Launched Jun 04, 2025

Categories

Built by Shopify

Address

301 E 2nd St, Suite 304, Jamestown, NY, 14701, US

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Introduction Video

Description

Block fraudulent orders with smart detection logic built from an analysis of your store's patterns.

Authorize Earth prevents fraud by analyzing each order against your risk thresholds. When suspicious activity is detected, the app applies verification rules like address matching and payment validation. Upon verification rule evaluation results, orders are automatically approved or declined. Optionally, send orders meeting or exceeding certain thresholds directly to an end state, like manual review. Blacklist customer criteria like card numbers - automatically upon cancellation, or manually

Authorize Earth prevents fraud by analyzing each order against your risk thresholds. When suspicious activity is detected, the app applies verification rules like address matching and payment validation. Upon verification rule evaluation results, orders are automatically approved or declined. Optionally, send orders meeting or exceeding certain thresholds directly to an end state, like manual review. Blacklist customer criteria like card numbers - automatically upon cancellation, or manually more
  • Thresholds detect risky orders - (Order Value > $5000 OR Customer Blacklisted)
  • Fraud rules define what to validate based on the threshold instance triggered
  • Action mapping defines steps to take upon verification results - Capture/Cancel
  • Automatically blacklist customer attributes like card number & address
  • Run an analysis anytime to build fraud detection logic from your order patterns

Pros

  • Customizable risk thresholds allow businesses to tailor fraud detection to their specific needs.
  • Automatic order verification rules like address matching and payment validation enhance security.
  • Reduces friction for legitimate customers by only intervening on suspicious transactions.
  • Action mapping provides clarity and flexibility in handling different verification results.
  • Built-in analysis tool helps businesses visualize the customer journey before implementation.

Cons

  • The setup and customization process might be complex for non-technical users.
  • Overly strict thresholds could potentially flag legitimate orders as fraudulent, affecting customer experience.
  • Continuous monitoring and adjustment of thresholds may be required for optimal performance.
  • Dependency on app's rule accuracy; false positives or negatives could still occur.
  • Lack of customer support or guidance might cause difficulties in the initial setup phase for some users.

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