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Identity Resolution and Privacy-Compliant AdTech Platform Development
  1. case
  2. Identity Resolution and Privacy-Compliant AdTech Platform Development

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Identity Resolution and Privacy-Compliant AdTech Platform Development

lineate.com
Advertising & marketing
Information technology
Data management

Challenges in Modern Identity Management and Privacy Compliance

Organizations struggle to unify fragmented customer identities across platforms while maintaining compliance with evolving privacy regulations (GDPR, CCPA, Google Privacy Sandbox). Existing systems fail to effectively combine first-party, third-party, and behavioral data for personalized advertising without compromising user privacy or operational efficiency.

About the Client

Provider of high-volume transaction processing systems and data-centric AdTech/MarTech solutions for customer identity mapping and targeted advertising

Key Goals for Identity Management Modernization

  • Build scalable cross-platform identity graphs for SSPs/DSPs
  • Implement privacy-compliant identity resolution workflows
  • Create unified customer profiles from multi-source data
  • Develop AI-driven audience segmentation and behavioral prediction models
  • Ensure compliance with global privacy frameworks

Core System Capabilities

  • Multi-source identity graph construction across properties/partners
  • Behavioral data ingestion and psychographic analysis engine
  • Real-time identity resolution with probabilistic matching
  • Automated compliance workflows for GDPR/CCPA/Privacy Sandbox
  • AI-powered audience prediction and personalization engine
  • 24/7 monitoring with business indicator dashboards

Technology Stack Requirements

Lineate DataSwitch for data integration
Data Octopus for workflow automation
Cloud-native identity resolution frameworks
Machine learning platforms (TensorFlow/PyTorch)
Real-time data processing engines (Apache Flink/Kafka)

Critical System Integrations

  • Supply-Side Platforms (SSPs)
  • Demand-Side Platforms (DSPs)
  • Customer Data Platforms (CDPs)
  • Privacy compliance verification systems
  • Third-party data marketplaces

Operational Requirements

  • 99.99% uptime with active monitoring
  • Horizontal scalability for 10M+ identities
  • Sub-50ms latency for identity resolution queries
  • Role-based access control with audit trails
  • Automated compliance validation workflows

Expected Business Outcomes

Enables 360-degree customer views for improved ad targeting accuracy, reduces compliance risks through automated privacy controls, and accelerates time-to-market for identity projects by 40% using prebuilt components. Predictive models should increase campaign effectiveness by 25% while maintaining full regulatory compliance.

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