Eppo provides a warehouse-native experimentation platform that combines statistical rigor with ease of use, allowing companies to run trustworthy A/B tests while maintaining full control of their data in their own data warehouse.
Last updated Feb 8, 2026
Emerging warehouse-native experimentation platform competing with established players like Optimizely and LaunchDarkly
Eppo is a modern experimentation and feature flagging platform that enables companies to run statistically rigorous A/B tests and make data-driven product decisions. Founded to address the limitations of traditional experimentation tools, Eppo connects directly to companies' existing data warehouses (like Snowflake, BigQuery, and Databricks) rather than requiring data to be sent to a third-party system. This warehouse-native approach allows data teams to maintain control over their data while providing product teams with a user-friendly interface for experiment design and analysis. While not strictly an AdTech company, Eppo serves the broader marketing technology and product analytics ecosystem, with particular relevance to companies optimizing digital experiences, ad performance, and conversion funnels. The platform is designed for modern data-driven organizations that want to democratize experimentation across product, engineering, and marketing teams while maintaining statistical rigor. Eppo has gained traction among growth-stage technology companies and enterprises looking for a more flexible, transparent alternative to legacy experimentation platforms.
Core A/B testing and experimentation platform with advanced statistical methods including sequential testing and CUPED variance reduction
Feature management system for controlled rollouts and experimentation
Direct integration with data warehouses for analysis without data movement
Advanced statistical methods for experiment analysis with built-in guardrails against common pitfalls