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Development of an Enhanced Mobile Measurement and Fraud Prevention Platform with Real-Time Monitoring and Partner Integration
  1. case
  2. Development of an Enhanced Mobile Measurement and Fraud Prevention Platform with Real-Time Monitoring and Partner Integration

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Development of an Enhanced Mobile Measurement and Fraud Prevention Platform with Real-Time Monitoring and Partner Integration

kitrum.com
Advertising & marketing
Information technology
Security

Challenges in Mobile Marketing Attribution and Fraud Prevention

Existing platform struggles to scale with 2000+ partner integrations, lacks advanced fraud detection capabilities, and requires 24/7 system monitoring to maintain security and reliability for clients optimizing mobile marketing ROI.

About the Client

A global mobile app attribution and analytics platform serving advertising networks and marketers

Key Goals for Platform Enhancement

  • Build scalable measurement infrastructure for partner networks
  • Implement advanced fraud prevention systems
  • Establish 24/7 system monitoring capabilities
  • Integrate real-time marketing analytics dashboard
  • Enhance cybersecurity protections for sensitive data

Core Platform Requirements

  • Multi-partner attribution tracking
  • Real-time fraud detection algorithms
  • Automated cybersecurity threat monitoring
  • Marketing campaign ROI optimization tools
  • 24/7 system health dashboard

Technology Stack Requirements

Node.js
React.js
AWS

Critical System Integrations

  • Facebook
  • Google
  • Snap
  • Twitter
  • Third-party ad networks

Operational Requirements

  • 99.99% system uptime SLA
  • Real-time data processing at scale
  • Enterprise-grade data encryption
  • Automated scaling for traffic spikes
  • 24/7 monitoring and alerting systems

Expected Business Outcomes

Enables marketers to optimize campaigns with accurate attribution data, reduces fraud losses through proactive detection, and improves ROI by providing actionable analytics insights while maintaining compliance with security standards.

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