Fraud Analytics

Overview

Fraud Analytics in Browsify on Shopify helps detect and prevent fraudulent checkout attempts. It provides an overview of fraud activities, detailed visitor analysis, and risk classification based on predefined rules, protecting your Shopify store from fraud.

Interface

• Navigation: Located under "Apps" in Shopify’s left menu, with sub-sections: Visitor Analytics, Fraud Analytics, Configuration, Pricing, and Help Center.

• Header: Displays "Fraud Analytics" with a description: "Detect and prevent fraudulent checkout attempts."

• Date Filter: A time range selector (e.g., "10/20/2024 - 10/21/2024") with a "Refresh" button.

Overview Section

Shows key metrics for the selected period:

• Detected Fraud Attempts: Number of fraud attempts (e.g., 20).

• Flagged: Number of flagged Visitor IDs (e.g., 9).

• High Risk Countries: Number of high-risk countries detected (e.g., 9).

  

Detailed Table

Lists Visitor IDs with fraud-related details:

• Visitor ID: Unique identifier (e.g., #100012).

• Time: When the activity occurred (e.g., "12 days ago").

• IP Address: Visitor’s IP (e.g., 192.45.67.89).

• Country: Visitor’s country (e.g., Russia, United States).

• Risk Score: Calculated based on Risk Factors (details below).

• Risk Factors: Detected risk factors (e.g., "5 card attempts, Mismatched billing info").

• Status: "Blocked" (red) or "Flagged" (yellow).

Additional Sections

• Fraud Detection Details: Chart showing common risk factors (e.g., Multiple Card Attempts, Billing info Mismatch).

• High Risk Countries: Chart listing high-risk countries (e.g., Canada, China).