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Development of a Real-Time Digital Advertising Optimization Platform
  1. case
  2. Development of a Real-Time Digital Advertising Optimization Platform

Development of a Real-Time Digital Advertising Optimization Platform

websensa.com
Advertising & marketing
Media
Information technology

Problem Statement for Advanced Programmatic Advertising System

A leading digital media company requires a sophisticated, adaptable system to improve their advertising strategies, particularly in programmatic ad buying on both supply and demand sides. The current setup lacks an open, RTB-compliant platform capable of managing digital advertisements efficiently and automating marketing workflows, leading to higher costs and less effective campaigns.

About the Client

A large online publishing enterprise seeking to enhance its digital advertising ecosystem through an open, scalable, and automated platform that supports programmatic ad buying and marketing automation.

Objectives for Implementing a Digital Advertising Optimization Platform

  • Implement a scalable, open RTB-compliant ad exchange system to streamline programmatic ad buying processes.
  • Enhance advertising effectiveness by integrating marketing automation capabilities within the platform.
  • Reduce operational costs through automation and improved targeting strategies.
  • Improve system reliability and processing capacity to handle high-scale daily ad transactions.
  • Foster seamless collaboration between internal teams and external developers for ongoing platform enhancement.

Core Functional Requirements for the Advertising Optimization Platform

  • Open RTB-compliant Ad Exchange supporting bid request and response handling for both supply and demand sides.
  • Marketing Automation Bidder capable of dynamically adjusting bids based on campaign parameters and user data.
  • High-performance data ingestion and processing architecture to support high-volume ad transactions.
  • UI dashboards for campaign management, real-time monitoring, and reporting.
  • APIs for integration with existing systems and third-party tools.

Preferred Technologies and Architectural Approaches

Golang for high-performance backend development
ClickHouse and SQL for data management and analytics
RESTful APIs for system integration
Cloud-based scalable infrastructure

External System Integrations Needed

  • Third-party demand-side platforms (DSPs) and supply-side platforms (SSPs)
  • Existing ad management and analytics systems
  • Marketing automation tools
  • Payment and billing systems

Key Non-Functional Requirements

  • System scalability to handle millions of transactions daily
  • High availability with 99.9% uptime SLAs
  • Low latency processing (under 100ms response time per bid)
  • Robust security measures to protect user data and prevent fraud
  • Compliance with industry standards and open RTB protocols

Business Impact and Project Deliverables

The implementation of this digital advertising optimization system aims to streamline ad operations, significantly reduce costs, and enhance campaign effectiveness. Expected outcomes include improved bidding efficiency, better targeting precision, and the ability to support high-scale transactions, resulting in increased revenue margins and stronger market competitiveness.

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