What is Optimizely Feature Experimentation used for?

Optimizely Feature Experimentation: Feature flags with gradual rollouts, targeting, kill switches and A/B tests from Optimizely. It is a good fit for rolling out features gradually to users and testing variations of new functionality.

How much does Optimizely Feature Experimentation cost?

Optimizely Feature Experimentation doesn't publish fixed prices; pricing is quoted on request.

Is Optimizely Feature Experimentation open source?

No. Optimizely Feature Experimentation is proprietary (closed-source) software and can't be self-hosted. Open-source alternatives to Optimizely Feature Experimentation include FeatBit, GrowthBook and Flagsmith.

What are some alternatives to Optimizely Feature Experimentation?

Optimizely Feature Experimentation competes with Split, Statsig and DevCycle. For open-source options, see Enlisted's ranked list of open-source Optimizely Feature Experimentation alternatives.

Optimizely Feature Experimentation: pricing and alternatives

About Optimizely Feature Experimentation

Optimizely Feature Experimentation is the feature management product from Optimizely. It lets teams decouple releases from code deploys by wrapping features in flags, rolling them out progressively and testing them with experiments, so changes reach users safely and on a schedule the team controls.

The vendor highlights targeted delivery by user, region or custom attributes, built-in permissions and approvals, and guardrails such as real-time monitoring, pausing, rollback and an instant kill switch. Progressive rollouts can start with a small share of traffic and ramp upward, with targeting rules that go beyond percentage splits. SDKs cover the whole stack from back end to mobile and edge, and the product manages a feature's lifecycle from the first dark launch through flag cleanup. AI agents can help generate variables and adjust logic. It is proprietary and vendor-hosted, with a plans page on the Optimizely site.

Key features

Feature flags with targeting rules
Progressive percentage rollouts
Instant kill switch from the dashboard
Permissions and approvals for releases
SDKs across back end, mobile and edge
A/B tests alongside flags
Flag lifecycle management and cleanup

Good fit for

→Rolling out features gradually to users
→Testing variations of new functionality

Tags: feature-flags; ab-testing; experimentation; progressive-delivery; feature-management; kill-switch; optimizely

Optimizely Feature Experimentation: questions and answers

What is Optimizely Feature Experimentation used for?: Optimizely Feature Experimentation: Feature flags with gradual rollouts, targeting, kill switches and A/B tests from Optimizely. It is a good fit for rolling out features gradually to users and testing variations of new functionality.
How much does Optimizely Feature Experimentation cost?: Optimizely Feature Experimentation doesn't publish fixed prices; pricing is quoted on request.
Is Optimizely Feature Experimentation open source?: No. Optimizely Feature Experimentation is proprietary (closed-source) software and can't be self-hosted. Open-source alternatives to Optimizely Feature Experimentation include FeatBit, GrowthBook and Flagsmith.
What are some alternatives to Optimizely Feature Experimentation?: Optimizely Feature Experimentation competes with Split, Statsig and DevCycle. For open-source options, see Enlisted's ranked list of open-source Optimizely Feature Experimentation alternatives.