How to block multi-accounting users with visitor fingerprinting?

Block multi-accounting users with visitor fingerprinting using ShieldLabs

This task can be performed using ShieldLabs

Fraud detection and prevention with traffic quality scoring

Best product for this task

Shield

Fraud detection and prevention with traffic quality scoring, using visitor identification and anonymity detection with up to 99% accuracy. Stops multi-accounting, account sharing, fake signups and ad fraud.

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What to expect from an ideal product

  1. ShieldLabs assigns a unique fingerprint to each visitor, so even if someone clears cookies or switches browsers, you still catch them creating a second account.
  2. Traffic quality scoring flags suspicious sessions in real time, letting your team block fake signups before they pollute your user base or drain promotional budgets.
  3. With up to 99% visitor identification accuracy, ShieldLabs detects VPNs, proxies, and Tor exits that multi-accounters rely on to hide their tracks.
  4. Account sharing gets flagged when the same fingerprint shows up across multiple logins, giving platforms a clean audit trail to enforce one-account policies.
  5. Unlike rule-based fraud tools that need constant manual tuning, ShieldLabs scores each session automatically, so your team spends less time chasing fraud and more time on growth.

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