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.Statsig vs. Adobe (Target + Analytics)
Statsig is the leading experimentation platform that empowers teams to ship faster, automate a/b testing, and make data-driven decisions at scale.
Adobe Target and Analytics are tailored for web-based applications, specializing in website personalization and marketing campaigns, but with a more limited scope compared to a comprehensive experimentation platform.
Statsig's four main advantages over Adobe Target and Analytics are:
Unification under one platform
Flexible targeting and near-time analysis of all metrics
Advanced statistical capabilities
Scalability and reliability
Statsig vs. Adobe (Target + Analytics)
Feature Comparison
Feature flags
Enable or disable functionality in your app without deploying new code, allowing for safer rollouts and quicker iterations.
A/B testing
Compare different versions of a feature to determine which performs better, driving data-informed product decisions.
Analytics
Provides comprehensive data analysis tools to gain deeper insights into user behavior and feature performance.
Single snapshot view of all metrics for a feature rollout
Provides a consolidated dashboard to view key metrics impacted by a feature release, enabling quick assessment of performance.
Mutually exclusive experiments (without custom scripts)
Ensures that users are only in one experiment at a time, eliminating cross-experiment contamination and providing cleaner data.
Variance reduction (CUPED)
Utilize pre-experiment data to reduce variability in experiments, enhancing the accuracy and efficiency of results.
Holdouts
Reserve a control group that is not exposed to the feature, serving as a benchmark to measure true impact.
Custom ID support
Allows the use of unique identifiers for users or entities in experiments, offering flexibility in data segmentation and analysis.
Multi-armed bandit experiments
Continuously optimize and allocate more traffic to winning variations, even as the experiment is still running.
Sequential testing
Continuously monitors experiment results, enabling early stopping for success or failure, thus saving time and resources.
Switchback testing
Alternate between control and treatment states over time, ideal for environments with network effects or shared resources.
* This comparison data is based on research that was conducted in November 2023.
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