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Development of a Real-Time Programmatic Advertising Analytics Dashboard with Advanced Data Integration
  1. case
  2. Development of a Real-Time Programmatic Advertising Analytics Dashboard with Advanced Data Integration

Development of a Real-Time Programmatic Advertising Analytics Dashboard with Advanced Data Integration

lineate.com
Advertising & marketing
Media

Identifying the Need for Enhanced Data Aggregation and Revenue Optimization in Programmatic Advertising

The client operates a platform that connects publishers with multiple supply-side and demand-side ad sources. Despite a robust infrastructure, revenue generation from third-party supply sources is below potential, limiting profit margins and ad performance insights. The client requires a solution to directly connect with demand sources via their own SSP, reduce dependency on external networks, and provide real-time analytics to improve ad yield, user experience, and operational efficiency, especially under high traffic volumes reaching millions of events per minute.

About the Client

A mid-to-large size digital advertising platform provider that enables content publishers and advertisers to optimize ad revenue and user engagement through advanced data analytics and unified reporting systems.

Key Objectives for Optimizing Ad Revenue and Real-Time Analytical Capabilities

  • Establish a direct connection to demand sources via an internal SSP to increase profit margins from approximately 40-50% to an estimated 60%.
  • Enhance effective cost per mille (eCPM) by at least 14% within a few months post-deployment.
  • Develop an internal analytics dashboard capable of aggregating, processing, and visualizing billions of daily ad events with near real-time performance, reducing report generation time from minutes to less than a second.
  • Improve user experience through less intrusive advertising and provide publishers with instantaneous performance insights.
  • Scale the data processing infrastructure to support up to 20 million events per minute, ensuring high availability and low latency.

Essential Functional Requirements for the Analytics and Data Pipeline System

  • Integration of an internal supply-side platform (SSP) module for direct demand source connections.
  • A creative audit tool to ensure ad quality without impeding auction speed.
  • A scalable, clustered data pipeline capable of ingesting and processing billions of ad events daily.
  • Pre-calculated data aggregates for the most popular reports, based on specific dimensions, to enable instantaneous data visualization.
  • A generalized data storage structure supporting custom reports with flexible dimensions.
  • A sharded database architecture to support high concurrent querying and reporting with sub-second response times.

Technology Stack and Architectural Approach for High-Performance Data Analytics

Clustered, sharded database systems for scalable data storage
Custom data aggregation pipelines optimized for real-time processing
In-memory data caching where appropriate to enhance query speed
Distributed computing frameworks to handle peak traffic loads
Robust, scalable data visualization tools and dashboards

External and Internal System Integration Requirements

  • Demand-side and supply-side ad exchange APIs for direct SSP connectivity
  • Existing ad serving infrastructure and data sources for comprehensive analytics
  • Monitoring and auditing tools for ad quality assurance

Critical Non-Functional System Requirements

  • Support for at least 20 million ad events per minute during peak loads
  • Data retrieval and report visualization latency under 0.5 seconds
  • High system availability and fault tolerance
  • Data security compliant with privacy standards
  • Scalable architecture to accommodate future growth

Projected Business Benefits of the Advanced Ad Analytics System

The deployment of this real-time analytics dashboard and data pipeline is expected to increase ad revenue margins from 40-50% to approximately 60%, enhance eCPM by around 14% within a few months, and significantly reduce report generation times from minutes to under half a second. This will enable the publisher to offer near-instant insights to clients, improve user experience through less intrusive advertising, and strengthen competitive positioning in the programmatic ad marketplace.

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