Case study

How a Global Digital Network Achieved 27x ROI by Automating Fraud Prevention

Company

Global Digital Identity Network

Industry

FinTech

Use Cases

Bonus Abuse

Multi-Accounting

Summary

A global technology organization faced growing fraud risks that threatened its financial sustainability and operational efficiency. With SEON’s privacy-friendly device intelligence and automated detection, the company stopped promo abuse, reduced manual reviews and secured 27x ROI.

  • 27x ROI by preventing fraudulent sign-ups from claiming grants
  • 12% of all sign-ups were automatically identified as fraudulent and blocked
  • 37% reduction in manual reviews, increasing team efficiency
  • Sustained growth with robust fraud prevention and seamless user onboarding

About the Company

A global technology organization is building an inclusive digital identity and financial network designed to enhance economic opportunities, distinguish humans from AI while maintaining privacy, support democratic processes and explore a path to AI-funded Universal Basic Income (UBI). The company provides a privacy-focused digital identity network and a digital currency where eligible users can benefit financially. A secure and accessible mobile application serves as the primary interface for this ecosystem, facilitating interactions and transactions.

The Challenge: Fraud Threatened Financial Sustainability

The organization was losing revenue to users exploiting promo grants through multi-accounting schemes. Fraudsters created multiple accounts to claim financial benefits, overwhelming manual review teams and threatening the model’s long-term viability.

Complicating matters, the company’s privacy-centric sign-up process minimized data collection, making traditional fraud detection tools ineffective. The team needed a solution capable of detecting fraud in real time using alternative data signals without disrupting the user experience.

The Solution: Privacy-Friendly, Real-Time Fraud Detection

SEON provided the organization with adaptive fraud prevention powered by device intelligence and behavioral analysis. The platform collected thousands of anonymized data points, flagging suspicious patterns without requiring personal data.

SEON’s customizable rule engine and flexible risk scoring helped automate the detection of fraudulent sign-ups linked to promo abuse and multi-accounting. The organization could instantly block bad actors while allowing legitimate users to onboard smoothly, safeguarding financial resources and supporting platform integrity.

Implementation in Action

  • Continuous Optimization: Ongoing collaboration with SEON’s team ensured detection thresholds evolved alongside emerging fraud patterns.
  • Phased Integration: The company launched SEON in stages, calibrating fraud rules using historical data for immediate impact.
  • Seamless API Deployment: The platform integrated quickly across all sign-up channels without heavy development work.

Takeaways

SEON’s privacy-first fraud prevention approach enabled the organization to protect financial resources, automate detection, and maintain a seamless user experience. With a 27x ROI, reduced manual workloads, and sustained platform security, SEON remains a vital partner as the company continues to expand its global digital ecosystem.