Platform
Developers
Resources
KEY FEATURES
GETTING STARTED
Documentation
Documentation to get you started with implementation
Walkthrough Guides
Guides to get you started with Statsig in no time
SDKs and APIs
Explore REST API and SDKs in more than 20 frameworks
Integrations
Learn more about connecting Statsig to your existing tools
A/B Testing Calculator
Looking for a place to start your A/B Test? Try out our calculator
How Statsig Works
Get under the hood and check out how Statsig scales with you
LEARN & CONNECT
Blog
Peak Velocity is our blog where we cover the latest in data
Support
Need help getting set up or have questions about our product?
Customer Stories
Find out how leading companies are using Statsig to grow
Events
Find out about our online and offline events and RSVP to them
Build vs Buy
Compare building an in-house platform vs. buying
Contact Sales
Want to connect with someone from the Sales team?
FEATURED BLOGS
Feature Flags Liberated
Gating features is a core part of the development process. And with Statsig, it's free.
How AI Companies Use Statsig
The best AI companies use Statsig to accelerate growth. Learn how you can do the same.
What is Product Observability?
Product observability means being able to monitor, control, and gain insight into all of your features.KEY FEATURES
GETTING STARTED
Documentation
Documentation to get you started with implementation
Walkthrough Guides
Guides to get you started with Statsig in no time
SDKs and APIs
Explore REST API and SDKs in more than 20 frameworks
Integrations
Learn more about connecting Statsig to your existing tools
A/B Testing Calculator
Looking for a place to start your A/B Test? Try out our calculator
How Statsig Works
Get under the hood and check out how Statsig scales with you
LEARN & CONNECT
Blog
Peak Velocity is our blog where we cover the latest in data
Support
Need help getting set up or have questions about our product?
Customer Stories
Find out how leading companies are using Statsig to grow
Events
Find out about our online and offline events and RSVP to them
Build vs Buy
Compare building an in-house platform vs. buying
Contact Sales
Want to connect with someone from the Sales team?
FEATURED BLOGS
Experiments with Generative AI
We built a generative AI app in reactJS using OpenAI’s API and Statsig. Here’s what we learned:
Experimentation Platforms
The decision to build versus buy an experimentation and feature flagging platform is not an easy one.
CUPED Explained
CUPED is an implementation that uses pre-experiment data to explain the variance in the result data.Your warehouse, our stats engine
Unmatched flexibility to increase experiment velocity. Use our
stats engine for experiment analysis in your warehouse, leverage
SDKs for end-to-end targeting and feature rollouts, or even
integrate offline experiments as part of a hybrid solution
A new, warehouse-native way to achieve statistical significance
In love with your flags and assignment tools? Add Statsig to your stack
for end-to-end experimentation including targeting and feature rollouts
with holdouts and layers
No extra overhead
Engineering teams can now liberally apply A/B testing on top of
feature flags, with zero overhead. Statsig Warehouse
Native provides a fast, responsive, and modular stats engine for
experimentation analysis directly in your data warehouse
Save time
Make updates to experiments and recover from mistakes in less than
20 minutes, instead of waiting 20+ hours for revised results using
other experimentation engines. Run experiment analyses in a matter
of minutes
Hybrid solutions supported
Use Statsig for experiment analysis, leverage SDKs for
end-to-end targeting and feature rollouts with holdouts and layers,
or import offline experiments as part of a hybrid solution. Statsig
meets you halfway, wherever that may be
Powerful experiment analysis alongside your existing infrastructure
Run impactful experiment analysis by integrating Statsig directly with
your data warehouse. View statistically significant shifts across all
your metrics and make decisions with confidence
Advanced features, warehouse native
Wield the power of CUPED, sequential analysis, integrated SDKs
that support KPI measurement (even with partial rollouts),
Holdouts, Layers, account-based controls, and more - all with your
own data warehouse
10x your experimentation velocity
Build a culture of experimentation by making data more
accessible. Empower team members with a modern UI, collaboration
tools, and the most advanced stats engine on the market. We
treat your imported data the same as SDK data
Quick and easy set-up
Once you have your connection details on hand, it takes less
than 5 minutes to set up. We ingest raw events, pre-computed
metrics, and exposure events—keeping imported data in sync so
you don’t have to
Add experimentation to your existing feature flag tools
Looking to add experiment analysis on top of your existing stack?
Run Statsig alongside your existing feature flag infrastructure
(yes, even LaunchDarkly) to unlock visibility into statistically
significant shifts across metrics. Enable your team to make
data-driven product decisions fast
Integrates seamlessly with the rest of your stack
- Snowflake
- BigQuery
- Segment
- Redshift
- Databricks
- and more
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
What our customers love
Product Observability combines experimentation with real-time
analytics to give you a 360° view of your product and business.
For the first time, you can see which features are driving your
business core metrics
Advanced stats engine
Run multivariate experiments with ease. We also support sequential testing, and CUPED
Customization options
Customize metrics with filters, ratios, and conversions. Slice & dice experiment results for accurate decisions
Data visualizations
Powerful no-code visualizations, and meta-analysis with insights and dashboard tools
Support and documentation
A robust docs library with hands-on onboarding and support from true experts
Teamwork made easy
Collaboration features built directly into the console, with customizable role privileges
Pricing aligned with usage
Statsig uses an event-based pricing model with no limitations on seats, flags, or environments
What builders love about us
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.
OpenAI
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.
Brex
Karandeep Anand
CPO
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.
Notion
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.
SoundCloud
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.
Ancestry
Partha Sarathi
Director of Engineering