Platform
Resources
Your warehouse, our stats engine
A complete solution for experimentation, analytics, and flagging with
no compromises on privacy or security
A warehouse-native solution for experimentation and analytics
Run Statsig in your data warehouse to run experiment analysis, analytics
workflows, and more. Build with our infrastructure, or bring your own
solution for assignment
No extra overhead
Bring your existing metric data and exposures. Statsig Warehouse Native
runs seamlessly on top of your existing data, giving you instant
experiment results from the world's most powerful stats engine
Bring your tools, or use our infra
Love your existing assignment and flagging solution? Feel free to keep it.
Otherwise, feel free to leverage our SDK and flagging solution, and write
exposures directly into your warehouse
Analytics just got better
Run all your product analytics workflows within your own data warehouse,
with data that's seamlessly connected to your experiments and releases
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
Why the best build with 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
President
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