Products

Experimentation

Feature Flagging

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Key features

Warehouse Native

Artificial Intelligence

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FEATURED CASE STUDY

Turning AI hype into tangible business value through experimentation

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Eppo drives experimentation culture

Increase experiment velocity

Reduce experimentation analysis cycles to 0, including deep dives and diagnostics

Shave weeks off experiment duration with CUPED++ acceleration

Safe, reliable deployment with feature flags and remote configuration

Make better decisions, with confidence

Ensure trust in data with zero-copy, warehouse-native architecture

Align around the metrics that matter and move the needle for your business

Reduce risk of false positives with trusted statistical methods

Achieve self-serve experimentation

Remove analysis bottlenecks with out-of-the-box reporting and slice-and-dice capabilities

Centralize experimentation methods and workflows across your org

Easily curate compelling stakeholder reports with Eppo knowledge base

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Loved By Our Customers

Mark Stone

Head of Data and Analytics

“Eppo enables us to get insights that wouldn’t be possible in previous tools. It’s a whole new generation of A/B platform.”

Emily Bartha

Product Data Science Manager

“After switching to Eppo, our Product Managers are spending 50% less time making dashboards and debugging issues, which leaves more time to develop the features our users want.”

Sarah Lillian

Product Data Science Manager

“Rigor, visibility, and transparency. That is Eppo. Eppo puts everyone on the same page.”

Mun Kim

ML Engineering Manager

“Our team is very happy with the way we're running experiments with Eppo across front-end, back-end and Machine Learning use cases.”