Contextual Bandits enable data, ML, and growth teams to automatically personalize user experiences to optimize outcomes.
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.
Quick integration with your stack and a simplified developer experience: use a single SDK for feature flagging, experimentation, and bandits, with all configuration handled in a unified UI.
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 how variations are exposed to users over time, and add or remove variations from your contextual bandit.
Eppo enables us to get insights that wouldn’t be possible in previous tools. It’s a whole new generation of A/B platform.
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.
Rigor, visibility, and transparency. That is Eppo. Eppo puts everyone on the same page.
Our team is very happy with the way we're running experiments with Eppo across front-end, back-end and Machine Learning use cases.