Build like the best

Faster decisions lead to faster iteration. Statsig meets you where you are - whether you’re running your first experiment or your 10,000th.
Statsig Experimentation
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Experimentation for everyone

No matter if its your first experiment, or your 10,000th, Statsig makes experimenting easy - and maximizes what you'll learn.

Crawl Right Arrow

Start testing everything with a couple lines of code

  • Visual Editor
  • Feature Flags. Turn any flag into a test with one click.
  • No-code Web Analytics

Walk Right Arrow

Scale a culture of experimentation

  • Enable Collaboration, Review and Critique
  • Meta-analysis and Knowledge Management
  • Run experiments faster

Run Right Arrow

Build like the Best

  • Scale to billions of units in an experiment
  • Stratified Sampling
  • Heterogeneous Effect Detection
  • Interaction Detection


Start learning from every launch

Statsig meets you where you are: get started with only a couple lines of code, and let the whole team start experimenting.
Start analyzing experiments

A/B Test on a Feature Flag

Turn any feature flag into an experiment with one click, making every feature release data-driven

Visual Editor

Use Statsig Sidecar to setup an experiment without writing a single line of code, bringing the whole team together on experiments

No-code Web Analytics

Get alerts when an experiment seems unhealthy, plus get world-class statistical methods without extra setup

Replay & analyze

Dive deeper on suspicions with product analytics and session replays that can be cut by experiment group or exposure to a feature


Scale your experimentation culture

Learn more, faster with organization-wide knowledge sharing, and cutting-edge experimentation methods.
Start analyzing experiments

Review, collaborate and discuss

Set standards for experiments and feature rollouts, plus collaborate directly on an experiment setup or result.

Meta-analysis and Knowledge Management

Store experiment results and summaries, and visualize which tests were most impactful

Faster experimentation

Use CUPED, Winsorization and Metric Capping for faster results. Also get safety tools like Bonferroni correction and Benjamini-Hochberg procedure

Advanced test types

Use switchback, geo-based, market-based or multi-armed bandit tests to handle special situations


Build like the Best

Scale to use the most advanced methodologies, on billons of users
Start analyzing experiments

Stratified Sampling

Intelligently distribute users across variants to run tests faster

Heterogenous Effect Detection

Automatically see when certain groups experience outsized impacts in an experiment

Interaction Detection

Get notified when two experiments are interacting in an unexpected way

Semantic Layer Syncing

Reuse your semantic layer metric definitions with Statsig Warehouse Native to align with the source of truth
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Join the #1 Community for Product Experimentation

Connect with a like-minded group of data scientists and engineers tackling the same challenges as you
  • A breadth of experimentation topics
  • Insights from hands-on experimenters at top companies
  • Practical tips you can't find anywhere else
  • No questions unanswered
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What builders love about us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Karandeep Anand
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Partha Sarathi
Director of Engineering

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