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Development of a Modular Ad Management Platform for a Digital Marketing Agency
  1. case
  2. Development of a Modular Ad Management Platform for a Digital Marketing Agency

Development of a Modular Ad Management Platform for a Digital Marketing Agency

sunscrapers.com
Advertising & marketing

Identifying the Need for an Advanced Digital Ad Management System

A leading digital marketing agency faces operational challenges in efficiently building, managing, approving, and publishing digital advertisements across multiple campaigns and platforms. The existing manual and fragmented processes lead to delays, inconsistencies, and limited scalability, hindering competitive advantage and client satisfaction.

About the Client

A large-scale digital marketing agency supporting major global brands seeking to enhance its advertising production, management, and deployment processes.

Goals for Building a Next-Generation Ad Management Platform

  • Develop a scalable, SaaS-based platform that streamlines digital ad creation, management, approval, and publishing workflows.
  • Enable users to define, populate, and manipulate flexible data schemas for ad units via an intuitive interface, facilitating rapid ad build-up and deployment.
  • Implement modularity by integrating core monolithic components with microservices to optimize performance and independent scalability.
  • Ensure system stability, high availability, and security, accommodating high traffic volumes (up to 10 million requests per day).
  • Deploy containerized microservices using Docker for reproducibility, predictable deployment, and ease of scaling.

Core Functional Capabilities of the Ad Management Platform

  • User-friendly interface for creating and editing flexible, schema-driven ad units.
  • Ability to populate and manipulate ad schemas with ease for fast ad building, approval, and deployment.
  • Modular system architecture comprising a central monolithic application with integrated microservices for performance-critical functions.
  • Containerization of microservices utilizing Docker to ensure environment consistency and scalable deployment.
  • Asynchronous task worker and scheduler to handle long-running and periodic tasks such as data ingestion and processing.
  • Integration with relational databases for structured data storage and non-relational data stores for caching and message brokering.
  • Open data model supporting versioning and schema evolution for ad units.

Design and Technology Preferences for the System Architecture

Python frameworks (Django for main application, Sanic or Node.js for microservices)
Docker for containerization
AWS cloud infrastructure for deployment and scalability
Relational databases for structured data
Non-relational data stores for caching and message brokering
REST API for communication between system components
Asynchronous task queues and scheduled jobs for background processes

Essential External Systems and Data Integrations

  • External data sources for ad content and performance analytics
  • Third-party ad platforms' APIs for publishing and reporting
  • Security protocols and VPNs for sensitive modules

Performance, Security, and Scalability Expectations

  • System must support up to 10 million requests per day with high reliability
  • Ensure high system availability and minimal downtime
  • Maintain data security, including isolated environments behind VPNs for sensitive modules
  • Provide an intuitive user experience with fast load times for complex schema manipulations

Projected Business Value and System Benefits

The implementation of this advanced ad management platform is expected to significantly improve operational efficiency, enabling quicker ad product development and deployment. It will enhance scalability to handle peak demands, reduce manual errors, and streamline workflows, resulting in faster time-to-market for advertising campaigns and improved client satisfaction, ultimately strengthening the agency's competitive edge.

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