Case Study: Cameo speeds up experimentation workflows by 90% with Eppo

Cameo speeds up experimentation workflows by ~90% and centralizes experimentation reporting in Eppo

Cameo, a leading direct-to-consumer fan engagement platform, was struggling with a slow and fragmented experimentation process. Their data science team, led by Sarah Lillian, was using a manual combination of Amplitude and custom-built notebooks, which led to inconsistent metric definitions, a lack of statistical rigor, and was too time-consuming to scale effectively. This patchwork system often resulted in misguided business decisions.

By implementing the Eppo experimentation platform, Cameo centralized its reporting and standardized its key metrics. Eppo provided the necessary statistical infrastructure, including the ability to end experiments early without inflating false-positive rates. This solution made Cameo's experimentation workflow approximately 90% more efficient, saving significant time for its data scientists and allowing stakeholders to self-serve experiment status and results.

Cameo

Sarah Lillian

Product Data Science Manager