Experiment
on any feature.
Measure the impact of what you ship, with experimentation designed for engineers—and loved by product teams.
Say goodbye to friction and bottlenecks.
Iterate and innovate faster when experiments are part of the engineering workflow.
Validate software impact with data.
Get insights to help you optimize releases and drive stronger business outcomes.
Trust your experiment results.
Confidently launch statistically rigorous experiments that data teams trust.
Say goodbye to friction and bottlenecks.
Get rid of silos and speed up product iteration by integrating experimentation into engineering workflows—using the same feature flags you already trust.
Say goodbye to friction and bottlenecks.
Get rid of silos and speed up product iteration by integrating experimentation into engineering workflows—using the same feature flags you already trust.
Attach experiments to any feature, model, or prompt.
Build, ship, and optimize features in a single platform.
Full-stack experimentation.
Run experiments anywhere in your stack—frontend, backend, and mobile.
Real-time deployment.
Ship experiment results without any extra code deploys.
Validate software impact with data.
Get insights to help you optimize releases and drive stronger business outcomes.
Validate software impact with data.
Get insights to help you optimize releases and drive stronger business outcomes.
Experiment results and analysis.
Visualize and evaluate experiment results in one centralized platform.
Statistical significance.
Instantly validate when an experiment reaches significance and ship the winning variation in real time.
Warehouse native experimentation.
Deepen and enhance experimentation results by leveraging data in your warehouse.
Join innovative companies like these.
"LaunchDarkly helped to democratize the experimentation practice and bring together the data, product, and engineering teams, working all together around the same project."
David Tieba
Head of Product Analytics
"LaunchDarkly has enabled self-serve experimentation at CCP. You don’t have to be a data scientist to run valid, actionable experiments. This is unbelievably powerful.."
Nick Herring
Technical Director of Infrastructure
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"LaunchDarkly enables us to roll out features to users quickly without fear, which, in turn, allows us to collect user feedback early, measure system performance, and keep iterating on a feature until it yields the maximum results for us.."
Justin Cataldo
VP of Engineering
"LaunchDarkly has given us much more flexibility than our previous tools for feature flagging and A/B testing. We’re able to experiment more effectively and make better data-driven decisions."
Rema Morgan-Aluko
SVP Technology
"LaunchDarkly has helped us become more data-driven with product decisions. We’re now seeing higher levels of engagement with the features we ship. This translates to real business value."
Janie Lee
Director of Product Management
"The ability to target experiments and analyze results efficiently has been a game-changer for us. It’s enabled us to run more tests and gain actionable insights much faster."
Riley Duncan
Sr. Data Analytst
Trust your experiment results.
Confidently launch statistically rigorous experiments that data teams trust.
Trust your experiment results.
Confidently launch statistically rigorous experiments that data teams trust.
Choose your statistical models.
Build experiments with the statistical model, Bayesian or Frequentist, that best meets your team’s needs.
Flexible experiment builder.
Build any experiment required—from A/B tests to funnel optimization and warehouse native experiments, with advanced capabilities such as holdout, experiment layers, and more.
Advanced audience targeting.
Define specific experiment audiences based on any attribute, like geography, user behavior, or device type.
Warehouse Native Experimentation.
Build and analyze experiments with trusted, organization-wide data.
Data Export.
Leverage LaunchDarkly to set up experiments designed to export into a data warehouse, unlocking advanced custom reporting and analysis.
Snowflake Warehouse Native Experimentation.
Design, run, and analyze experiments in LaunchDarkly on top of trusted Snowflake data to gain deeper, more holistic insights.
CCP Games creates self-serve experimentation.
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LaunchDarkly has enabled self-serve experimentation. You don’t have to be a data scientist to run valid, actionable experiments. This is unbelievably powerful.
Nick Herring, CCP Games
Technical Director of Infrastructure, CCP Games
Read story
Ritual delivers enhanced customer experiences.
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The main benefit of using LaunchDarkly experimentation is that it’s directly tied to the feature flag implementation. It’s not a separate implementation every time we want to test.
Daniel Archer, Ritual
VP of Engineering
Read story
Loom runs more experiments, increases product engagement.
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Our old approach to experimentation was too complicated. It ate up developer time that would have been better spent on building actual features, not writing custom targeting rules.
Janie Lee, Loom
Director of Product Management
Read story
Learn more about Experimentation.
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Blog
Why unifying feature delivery and experimentation is essential.
What makes experimentation with LaunchDarkly stand out among other tools on the market?
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Blog
When does experimentation add value? A product manager’s guide.
10 compelling situations where you should consider running an experiment.
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webinar
Experimentation Excellence: Real-Life Examples and Best Practices Using LaunchDarkly.
Continuous experimentation is key to data-driven product development and innovation.
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webinar
Warehouse Native Experimentation for Engineering, Product, and Data Teams.
Explore how LaunchDarkly Experimentation integrates with Snowflake AI Data Cloud.
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Blog
LaunchDarkly + Snowflake: Introducing Warehouse Native Experimentation.
New: use Snowflake AI Data Cloud data to measure the impact of LaunchDarkly experiments.
Ready to measure the impact of what you ship?
