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Development of a Real-Time Location Data Aggregation and Targeting Platform for Enhanced Media Campaigns
  1. case
  2. Development of a Real-Time Location Data Aggregation and Targeting Platform for Enhanced Media Campaigns

Development of a Real-Time Location Data Aggregation and Targeting Platform for Enhanced Media Campaigns

lineate.com
Advertising & marketing
GPS
Navigation & GIS

Identified Challenges in Unified Location Data Management and Campaign Optimization

The client’s data science team requires consolidated access to aggregated location and consumer data from multiple first-party and third-party sources to conduct hypothesis testing and model refinement. Business decision-makers need a centralized platform to generate comprehensive reports across diverse data streams to gain a holistic view of consumer behaviors and campaign performance. The existing fragmented data environment hampers timely and precise targeting, reducing marketing effectiveness.

About the Client

A large-scale geospatial adtech firm specializing in delivering location-based consumer insights to optimize targeted advertising campaigns.

Goals for Developing a Robust Location Data Platform

  • Create a real-time data integration platform that ingests and processes billions of location interactions daily, enabling near-instantaneous data availability.
  • Provide a unified data repository supporting complex analytics, hypothesis testing, and customized reporting for decision-makers.
  • Implement advanced algorithms and tools to enhance behavioral segmentation and improve target precision for marketing campaigns.
  • Empower clients with end-user-facing tools, such as taxonomy mapping, to correlate their internal data with aggregated location insights.
  • Achieve significant improvements in targeting speed, with information delivered in under 60 milliseconds, and an increase in client revenue potential.

Core Functionalities and System Capabilities

  • Real-time ingestion and processing of hundreds of millions of digital interactions per second.
  • Integration with multiple data sources, including first-party and third-party location datasets.
  • Advanced algorithms to identify behavioral characteristics and optimize targeting strategies.
  • High-performance data storage solutions supporting complex queries and rapid data retrieval.
  • An internal testing and validation environment for ongoing algorithm refinement.
  • End-user tools for taxonomy mapping to facilitate custom data relationships and insights.

Recommended Technologies for Data Handling and System Development

High-performance NoSQL database for scalable data storage (e.g., Aerospike or equivalent).
Cloud-based data warehousing systems for scalable analytics (e.g., Snowflake or similar).
Big data processing frameworks such as Hadoop, Spark, and Impala for large-scale data processing.
Data visualization toolsfor insightful reporting (e.g., Tableau or equivalent).
Application development in a robust, scalable language (e.g., Java).

Necessary External System Integrations

  • Data sources from first-party digital interactions and third-party location providers.
  • Analytics and visualization platforms for reporting and dashboarding.
  • Testing and continuous integration tools for algorithm validation and deployment.

Key Non-Functional System Requirements

  • System scalability to handle over six to nine billion data points daily.
  • Data latency of less than 60 milliseconds for targeting information delivery.
  • High availability and fault tolerance for continuous operation.
  • Secure data handling to ensure compliance with privacy standards.
  • Performance optimization for real-time processing and analytics.

Anticipated Business Outcomes and Benefits

The developed platform is expected to enable clients to vastly improve targeting accuracy and speed, resulting in an estimated sevenfold increase in revenue potential. Additionally, it will empower marketing teams to perform custom analytics using deep location insights, significantly enhancing their strategic decision-making capabilities and optimizing media campaign effectiveness.

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