Twitter (Goldtracer)

The Challenge

Twitter’s advertising platform needed to process petabytes of engagement data to optimize ad campaign performance. The scale demanded engineering teams who could think in terms of distributed systems and ML pipelines, not just web applications.

What We Built

Working as the Goldtracer analytics team, we built:

• Petabyte-scale ETL pipelines for advertising engagement data
• ML-driven campaign optimization models
• Real-time analytics dashboards for campaign performance
• Data infrastructure capable of handling Twitter-scale throughput

The Result

• 10% improvement in campaign performance — a significant lift at Twitter’s scale
• Petabyte-scale pipelines processing advertising engagement data daily
• ML models in production driving real-time campaign optimization decisions
• The data pipelines we built became core infrastructure for Twitter’s advertising analytics platform.