Optimizely Feature Experimentation

Optimizely Feature Experimentation is a full-stack experimentation and feature management platform built for product, engineering, and data teams. Run A/B and multivariate tests across web, mobile, and server-side environments from a single SDK. Feature flags, audience targeting, and real-time results all come built in.

The Stats Engine supports multiple statistical methods, including sequential testing, Bayesian, and frequentist (fixed horizon), so teams can choose the approach that fits their traffic, goals, and decision-making style. Results stay valid throughout, with false discovery rate controls and outlier smoothing built in. Multi-armed bandits automatically shift traffic to winning variations. AI agents review experiments before launch, generate variations, and surface insights from results.

From controlled rollouts and instant rollbacks to full-stack experimentation across every digital surface, Optimizely compresses the cycle from hypothesis to validated decision.