Level up personalization with low integration costs
Integrate easily
Quick integration with your stack and a simplified developer experience: use a single SDK for feature flagging, experimentation, and bandits, with all configuration is handled in a unified UI.
Auto-optimize
Supply actions and their contexts using Eppo SDKs. Tell us the metric you want to optimize, and let us do the rest. Eppo will update the contextual bandit algorithm to ensure optimal balance between exploration and exploitation.
Monitor & evolve
Monitor how variations are exposed to users over time, and add or remove variations from your contextual bandit.
Build dynamic experiences
Leverage context to build robust personalization
Context matters—a global-best action won’t suffice when preferences vary across users. Eppo’s Contextual Bandits enable you to deliver the best experience for a particular context, ensuring that actions taken are always relevant, not just relevant on average.
Eppo’s bandits are tightly integrated with experimentation analysis tools, helping you understand performance across any key metric, and enabling deep-dive investigations to understand exactly what is happening under the hood.
Contextual Bandits integrate easily with your existing data or ML stack using our SDKs. And Eppo's warehouse-native architecture provides transparent computation and allows you to leverage core business metrics.
“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.”