Case Study: Sovrn boosts publisher yield and reduces costs with Databricks

Turning audience insights into revenue gains

Sovrn, which serves more than 6,000 publishers and creators, needed to turn siloed Commerce and Ad Exchange data into actionable insights while reducing the cost and complexity of fragmented systems. The company was struggling with separate data sources, expensive infrastructure, and difficult governance that slowed innovation and made it harder to monetize audiences effectively.

Using the Databricks Data Intelligence Platform, Sovrn unified Commerce, Ad Exchange, and operational data on a single governed platform with Unity Catalog and Delta Lake, while also using collaborative notebooks to speed experimentation and product development. Databricks helped Sovrn deliver AI-driven insights faster, launch new offerings under budget, and reduce overhead, ultimately increasing publisher yield by 30% and enabling secure, scalable data sharing across 30+ AWS accounts.

Sovrn

Chris George

President