This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of In-House SSP Platform with Real-Time Analytics for Ad Optimization

lineate.com

Advertising & marketing

Information technology

Challenges with Third-Party SSPs and Data Latency

Existing third-party supply-side platforms (SSPs) were underperforming in revenue generation, leading to 40-50% profit margins. Publishers required faster data processing to enable real-time decision-making, reduced dependency on external SSPs, and improved ad quality assurance without compromising auction speed.

About the Client

A technology company specializing in programmatic advertising solutions for publishers

Key Objectives for SSP Platform Development

Increase ad revenue margins by 60% through direct demand source integration
Reduce latency in reporting from minutes to sub-second response times
Implement automated ad quality verification without impacting auction performance
Eliminate costs associated with third-party SSP intermediaries

Core System Functionalities

Custom SSP integration with existing ad tech infrastructure
Real-time analytics dashboard with sub-second report generation
Automated creative audit tool for ad quality verification
Scalable data aggregation pipeline with pre-calculated metrics
Sharded database architecture for high-volume data processing

Technology Stack Requirements

Apache Kafka for event streaming

Apache Spark for real-time data processing

Sharded relational databases (e.g., MySQL/MariaDB)

Cloud-native infrastructure (AWS/GCP)

Data visualization frameworks (e.g., D3.js, Tableau)

System Integration Needs

Existing ad exchange platforms (Google AdX, AppNexus)
Third-party demand sources
Publisher content management systems (CMS)
Existing user authentication systems

Performance and Scalability Expectations

Support 20 million events per minute throughput
Report generation latency <1 second for 95% of queries
99.99% system availability SLA
Horizontal scalability for future traffic growth
Compliance with GDPR and CCPA data regulations

Expected Business Impact of In-House SSP Implementation

Anticipated 8% improvement in ad placement margins compared to third-party networks, 14% increase in effective cost per mille (eCPM), and 90% reduction in report generation times. Publishers will gain near real-time visibility into campaign performance, enabling dynamic optimization of ad inventory.