Microsoft Azure
2593 Case Studies
A Microsoft Azure Case Study
Track Revenue, a San Francisco startup that provides a machine-learning marketing analytics SaaS for advertisers and agencies, needed to build a next-generation auto-optimization feature to select the best landing pages and offers in milliseconds. After initially launching on AWS, the team found they lacked the integrated tools, performance/cost granularity, and open-source support required to develop and scale the streaming analytics and ML capabilities they needed.
They migrated to Microsoft Azure and used the Cortana Intelligence Suite (Azure Machine Learning, Event Hubs, Stream Analytics, SQL services, Redis, etc.) plus Microsoft technical support to deliver real-time auto-optimization. The move cut development time, improved performance and cost control, and drove measurable business gains: ROI +15%, conversion rate +12%, earnings-per-click +38% (some customers +47%), 25% more sign-ups, and ~20% savings on Mongo virtual machine costs versus AWS.
James Duffy
Software Engineer