Experimentation Guides

These guides walk you through the full experimentation lifecycle in Optimizely, from creating experiments and configuring audiences to analyzing results. They cover both Web Experimentation and Feature Experimentation workflows.

Create an Experiment Create A/B and feature experiments from hypothesis to live test.

Configure Targeting and Audiences Target experiments to specific user segments using built-in and custom conditions.

Set Up Metrics Configure goals and metrics, from event tracking to revenue metrics and statistical settings.

Analyze Results Read and interpret experiment results, from statistical significance to ship decisions.

Implement Server-Side Feature Flags Implement feature flags in server-side applications using Optimizely SDKs.