Experiment
on any
feature.

Measure the impact of what you ship, with experimentation loved by engineers and product teams.

Experimentation background image
Eliminate experimentation friction.
Eliminate experimentation friction.

Bring experimentation into your release process, using the feature flags you already trust.

Maximize impact, not risk.
Maximize impact, not risk.

Test any feature, model, or prompt. Learn from every release, adapt quickly, and improve over time.

Trust the data.
Trust the data.

Replace hunches with statistically sound data. Get reliable insights and ship with confidence.

Savage x FentyGammavestiaire collectiveRiviandunelem
Savage x FentyGammavestiaire collectiveRiviandunelem

How it works

Build experiments where your features live; not in a separate tool.

Plan collaboratively in the same tool you use to ship features.


Preview the right audience and preview assignment logic before launch.


Test anything, from page layouts to AI-powered features.

Rest easy while your experiment runs. Gain Insights that drive progress.

Monitor metrics, traffic, and experiment health in real time.

Visualize experiment results and slice by segments for further analysis.


Spot trends early and shift traffic to winning variations with multi-armed bandit experiments.

Make data-informed decisions. Ship winners with one click, or remix your test in real time.

Instantly ship when statistical significance is reached, no redeploys required.


Add more variants and metrics, or adjust targeting as you learn.

Optimize AI-driven features by adjusting logic, inputs, or prompts across iterations, without starting over.

Dive into the why behind each release, then turn insight into your next big win.

Slice results by device, geo, cohort, or any attribute you define.


Visualize results, share with your team, and turn insights into action.


Export everything to your warehouse for custom analysis on business data.

Built for experimentation teams

Engineers

Engineers

  • Leverage feature flags to conduct experiments directly in your workflow.
  • Test anything from a simple feature to AI-powered features.
  • Ship statistically valid results safely, instantly, without redeploys.
Product Managers

Product Managers

  • Visualize experiment results and understand user behavior.
  • Slice data by cohort, region, or device to uncover deeper insights.
  • Connect feature launches to key business metrics, like conversion and retention.
Data Teams

Data Teams

  • Choose the right model—Bayesian or Frequentist—for every test.
  • Use trusted statistical models to deliver reliable results and segment data for deeper insights.
  • Analyze results using source of truth business data from your warehouse.
  • "LaunchDarkly helped to democratize the experimentation practice and bring together data, product, and engineering teams working together around the same project."

    David Tieba

    Head of Product Analytics

  • "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 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.”

    Riley Duncan

    Sr. Data Analytst

  • "By connecting to Snowflake, we can move more quickly when new models are released, which means we can say yes to more ideas. We can take real risks on these things.”

    Jon Noronha

    Co-founder and Chief Product Officer

  • "LaunchDarkly helps us safely roll out and experiment with AI and product features without requiring engineering deploys for every variation.”

    Vincent L.

    Data Scientist, Information Technology and Services Company

  • "We can test new features with specific users, run A/B tests, and turn off features instantly if something breaks. This means fewer production issues, faster feedback, and more control over our releases.”

    Jwalit Shah

    Software Engineer

Experiment with confidence.
Ship what works.

Advanced experimentation built in.

Design and launch any experiment, from page layouts to AI-powered features, with the control, flexibility, and statistical rigor required.

Advanced experimentation built in.

Design and launch any experiment, from page layouts to AI-powered features, with the control, flexibility, and statistical rigor required.

Mutual exclusion

Ensure experiments don’t interfere with each other by simply controlling which users see which tests.

Multi-armed bandits

Automatically shift traffic toward winning variations to maximize impact faster.

AI experimentation

Run experiments across prompts, models, and agents to learn what performs best in production.

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Data insights made clear.

Slice, segment, and visualize results. Share clear insights that turn learnings into action.

Data insights made clear.

Slice, segment, and visualize results. Share clear insights that turn learnings into action.

Intuitive results summaries

View experiment performance at a glance and share clear, actionable experiment summaries.

Results segmentation

Slice results by device, geo, cohort, or any attribute you define.

Add metrics and attributes anytime

Explore your experiments on the fly by tracking new metrics or audience attributes without restarting.

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Data flexibility for all teams.

Leverage source-of-truth metrics, get deeper analysis, and understand feature impact on the business level.

Data flexibility for all teams.

Leverage source-of-truth metrics, get deeper analysis, and understand feature impact on the business level.

Custom events import

Leverage your organization’s trusted metrics to measure experiments against your team's KPIs.

Data export

Export experiment results to your data warehouse for custom reporting and analysis.

Warehouse native experimentation

Run LaunchDarkly experiments on top of your existing data and measure against trusted metrics.

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  • Vestiaire CollectiveVestiaire Collective

    Vestiaire Collective leads retail innovation with A/B testing

    / /

    LaunchDarkly is really useful. It saves us a lot of time. It doesn't make sense for us to build our own internal tooling for these kinds of processes. We would never have a return on investment on that.

    vestiaire collective
    gamma
    savage x fenty
    stash
  • GammaGamma

    Gamma generates viral conversion growth with warehouse-native experiments for AI features

    / /

    Now that we can join our LaunchDarkly experiments to our Snowflake data, we can measure real user and business outcomes. We can take bigger risks in the kinds of AI features we build, and we can validate that they're worth it because we can see downstream impacts all the way through.

    Jon Noronha, Gamma

    Co-founder and Chief Product Officer

    Read story
    vestiaire collective
    gamma
    savage x fenty
    stash
  • Savage X FentySavage X Fenty

    Savage X Fenty keeps shoppers engaged with rapid, reliable experiments.

    / /

    LaunchDarkly gave the business teams the confidence that experiments could be run reliably and the data could be trusted.

    Read story
    vestiaire collective
    gamma
    savage x fenty
    stash
  • StashStash

    Building a culture of experimentation at Stash

    / /

    LaunchDarkly has allowed us to leverage back-end-driven experimentation across all of our client platforms (iOS, Android, Web, etc.).

    Read story
    vestiaire collective
    gamma
    savage x fenty
    stash
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