Development of a Scalable Data and Event Tracking System for AdTech and MarTech Platforms

The client requires a versatile tracking system capable of collecting a broad range of event data—including impressions, clicks, and video metrics—from multiple sources, to support real-time analytics, reporting, and audience segmentation. The existing solution lacks scalability, flexibility, and integration capabilities, leading to inefficiencies and increased development time for custom tracking components.

A mid to large-sized technology company specializing in delivering marketing and advertising solutions, seeking a robust data collection component for its platform infrastructure.

• Build a core tracking system capable of collecting multiple event types such as impressions, clicks, conversions, and video metrics.
• Design the system to be modular, extendable, and easily integrable with analytics tools, reporting databases, and other platform components.
• Ensure high system availability (99.999%) and performance metrics including processing speeds supporting at least 2000 requests per second with low latency (~15 ms).
• Implement security and privacy measures to prevent exposure of personal data and defend against distributed denial-of-service (DDoS) attacks.
• Ensure the tracker is deployable across multiple cloud platforms (AWS, GCP, Azure) and supports custom plugin integrations.
• Create comprehensive documentation, deployment scripts, and quickstart guides to facilitate rapid onboarding and integration.
• Reduce development timelines and costs by providing a reusable, tested, and optimized tracking component for future platform projects.

• Capability to handle multiple request types such as impressions, clicks, conversions, and video metrics (e.g., watch time, completion rates).
• Support for configurable event types and request preprocessing through a flexible configuration interface.
• Extensible architecture that allows integration of custom plugins via exposed APIs.
• Built-in event collection modules including log storage and queue management.
• Predefined plugin support for budget management tools and other platform-specific components.
• Request redirect support to handle tracking redirects efficiently.
• Automated deployment via containerization (e.g., Docker) with scripts and documentation for quick setup.
• End-to-end testing, benchmarks, and continuous integration processes to maintain system robustness.

• Analytics tools and reporting databases for data export
• Budget management components such as a banking or budgeting plugin
• Request redirect handling mechanisms
• Cloud deployment platforms including AWS, GCP, and Azure
• Custom plugin interfaces for extending core functionalities

• System availability of 99.999%
• Handling at least 2000 requests per second with an average latency of 15 ms
• Robust security and privacy controls to prevent data leaks and protect against DDoS attacks
• Scalability to accommodate large increases in event volume
• Idempotent processing to ensure consistency during retries and errors

By developing this high-performance, scalable tracking system, the organization can significantly reduce development efforts and costs for building custom tracking solutions. The system’s robust architecture will support rapid integration with various client platforms, improve data collection accuracy, and enable real-time analytics, ultimately enhancing the platform’s competitiveness and customer satisfaction.