FeaturesOptimizely Feature ExperimentationLaunchDarkly™️
Deploy confidently with stats engine
Learn about performance of your features using leading data science.
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Per event pricing
The more you run, the more you pay
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Paid plan priced per monthly active users
Just feature toggles? That's free and unlimited, no credit card needed
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Bucketing and provisioning
Use advanced audience rule sets to group and target users
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Exclusion groups
Make sure users that shouldn't see features are easily excluded
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Add metrics post-rollout
Retroactively diagnose and report on performance by adding tracked metrics, even after a rollout or experiment
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Program management
Easily keep track of features and ideas in one place. Never keep flags live too long again
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Personalization
Use our advanced audience targeting to show specific features and content to users individually
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Track events
Easy-to-integrate events, so you know what's happening when, instantly
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Developer first, and collaborate with others
Remote configuration is easy enough to let anyone control features, you decide the rules
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Feature flags
Toggle features on/off remotely or use percentage rollouts
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Kill switches
Need to roll something back quickly without a deploy/software update? Kill features remotely
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Progressive delivery capability
Slowly roll out new features and back using the UI
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Better performance with multi-armed bandits
Using data science, pick a performant feature variation faster. You decide what to optimize for
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App feature management
Skip long deployment cycles and App Store review and remotely configure features in mobile, OTT and other apps
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Phased roll outs
Use targeting rules and percentage roll outs to determine who sees what, when
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Behavioral targeting and segmentation
Rulesets allow you to target features at locations, demographics or any attributes you send us
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Experiment & feature analytics dashboard
Quickly see how your features are performing and which variants outperform for experiments
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Robust SDKs and documentation

We have SDKs for most major platforms or you can deploy as a microservice.