Info/Context
Type: Blog post
Audience: CompanyName users and SEO-driven traffic
Purpose: A short guide that explains some of the most common user risk factors flagged by CompanyName’s fraud detection algorithm and how to interpret them.
Note: Some words and phrases are enclosed in [brackets] to represent hyperlinks to other docs not included in this sample library.
As part of our anti-fraud arsenal, ProductName scans your ecommerce orders for a variety of risk factors, including behavioral data, payment data, and location data, then returns a single comprehensive risk score. To provide you with as much information as possible, we also single out specific risk factors and list them on the [Order Review] page. Understanding these risk factors can help shed light on an order's risk level and guide your decision-making accordingly.
Keep reading to discover some of the most common risk factors we highlight in ProductName and what they mean. Just remember that although user risk factors are often associated with fraud, their presence doesn't guarantee that an order is fraudulent—you'll need to examine all of an order’s traits to better understand its overall threat level.