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Development of Next-Generation Geospatial Ad Serving Platform with Real-Time Data Aggregation and Targeting
  1. case
  2. Development of Next-Generation Geospatial Ad Serving Platform with Real-Time Data Aggregation and Targeting

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Development of Next-Generation Geospatial Ad Serving Platform with Real-Time Data Aggregation and Targeting

lineate.com
Advertising & marketing
Information technology
GPS

Business Challenges in Data Aggregation and Campaign Targeting

The client's data science team required centralized access to first- and third-party data for hypothesis testing, while decision-makers needed unified reporting capabilities across multiple data providers. Existing systems lacked the capacity to process high-velocity location data (hundreds of thousands of interactions per second) and deliver real-time behavioral insights for targeted advertising campaigns.

About the Client

A leading geospatial adtech company leveraging location data to deliver consumer behavior insights for targeted marketing campaigns.

Key Goals for Platform Development

  • Aggregate 6-9 billion daily data points from diverse sources in near real-time
  • Enable sub-60 millisecond response times for campaign targeting
  • Provide scalable infrastructure to handle trillions of annual data points
  • Empower clients to create custom data relationships via taxonomy mapping tools
  • Increase client revenue potential through enhanced targeting accuracy

Core System Capabilities

  • Real-time data ingestion pipeline for geospatial and behavioral metrics
  • Algorithm testing and optimization environment
  • Interactive taxonomy mapping interface for data relationship creation
  • Custom analytics dashboard with Tableau integration
  • API gateway for third-party data provider connectivity

Technology Stack Requirements

Java (core application)
Snowflake (cloud data warehousing)
Aerospike (high-performance NoSQL database)
Hadoop/Spark/Impala (data processing)
Tableau (visualization)
Cucumber (testing)

System Integration Needs

  • Third-party location data provider APIs
  • Client CRM and marketing automation systems
  • Cloud-based analytics platforms
  • Identity resolution services

Performance and Scalability Expectations

  • Process 100,000+ data interactions per second
  • Maintain 99.99% system availability
  • Support horizontal scaling to 10x current data volumes
  • Ensure <60ms latency for targeting decisions
  • Implement enterprise-grade data encryption and access controls

Projected Business Outcomes

Deployment of this platform is expected to increase client revenue potential by 7x through improved campaign targeting efficiency, reduce campaign optimization cycles by 80% via real-time analytics, and enable marketing teams to perform autonomous data analysis with integrated location insights. The system will support annual processing of multiple trillions of data points while maintaining sub-second response times for critical advertising operations.

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