Fake account creation where bad actors open accounts and sign up to your service is a significant contributor to fraud. Depending on which survey you read, fake registrations can make up between 3-13% of all account creations.

When translated into fraud costs, this is a significant number for any organization. It also distorts business metrics, skewing user engagement and other performance measures. What's worse is that every fake user that gets through your onboarding process is a signal to follow up with more attacks.

Fraudsters are smart and they probe your defences constantly to find ways through.

The solution: Intelligence Beyond the IP Address

A key indicator of fraud is the domain the fraudster is using in their email address. It can tell so much about the signup. Datazag has specialized in this area and our data highlights key signals that may indicate fraudulent activity.

Datazag provides a  a simple decision flag that takes in several domain attributes to allow, review or block the domain:

• Domain Age & Reputation: Is the domain brand new? Is it associated with malicious activity?
• Disposable Email Detection: Instantly flag temporary, throwaway email addresses.
• Parked domain detection: These should be dormant so activity often indicates fake users
• TLD code: Is the left hand side of the domain high risk or questionable
• Mailbox Provider Trust: Is it a reputable provider (Gmail, Outlook) or known high-risk, or obscure one?

‍

‍

Use Cases

• Lead Scoring: Weed out junk leads from your marketing funnel.
• User Onboarding: Prevent fake sign-ups in real-time.
• Transaction Monitoring: Add another layer of risk scoring to payments

‍

By leveraging advanced domain and email analysis, businesses can significantly reduce the risk of fraud. This proactive approach not only safeguards your platform but also ensures that genuine users have a seamless experience.‍

‍