Case Study: Locala achieves improved campaign performance and GenAI efficiency with Databricks

Improving ad campaign performance for clients around the world

Locala, an omnichannel advertising platform that helps brands and agencies plan, activate, and measure local campaigns, faced major challenges in developing, training, and deploying machine learning models with a small data team. The company needed a way to make campaign insights easier to understand and share, so it turned to Databricks and its Mosaic AI tools to support a GenAI solution for its planning process.

Databricks helped Locala build “Insights AI,” a virtual assistant that explains advertising charts and campaign performance in natural language. With the Databricks Data Intelligence Platform, Locala automated workflows, managed data more efficiently, and sped up ML development, enabling one person to create the solution. The result was reduced complexity and time to interpret data, improved operational efficiency, better client interactions, and cost savings.

Locala

Thibault Camper

Senior Data Scientist