While Eppo is a strong tool for experiment analysis, Statsig is the platform of choice for companies looking for a warehouse-native experimentation platform that is reliable, trustworthy, and scalable
Statsig's key advantages over Eppo are:
80% of companies that trialed both Eppo and Statsig in 2024 chose Statsig
The world's most sophisticated experimentation programs rely on Statsig
Our data and product team will partner with you to build a successful program
We've solved the problems that block companies from scaling experimentation
We're loved by the entire team - from data, to product, to engineering
Our infrastructure enables an end-to-end experimentation system
Statsig and Eppo both offer product building platforms with Experimentation.
01
80% of companies that trialed both Eppo and Statsig in 2024 chose Statsig
Since we've launched our Warehouse Native product, 4 out of 5 companies that do a hands-on POC with both Eppo and Statsig have chosen Statsig - including HelloFresh, Monzo, Mistplay, Medium.com, and others.
02
The world's most sophisticated experimention programs rely on Statsig
Companies like OpenAI, Figma, Notion and Vista have built their experimentation programs around Statsig, because of our reliable end-to-end capabilities, advanced stats engine, developer experience, and breadth of test and metric types.
03
Our data and product team will partner with you
By working with companies like WhatNot (0 to 400 annual experiments), Notion (single digit to 1000s of annual experiments), and many others, we've developed frameworks and trainings to build a successful, trustworthy experimentation program. As a Statsig customer, you'll have direct access to all these resources & the people that created them.
04
We solve the problems that block experimentation at scale
With features like a standard logging layer, semantic layer support, team- and org-based policies, RBAC, and templates for experiments, you can eliminate friction when scaling experimentation. Eppo customers celebrate the time saved analyzing experiments, while Statsig customers get a 10 - 20X increase in experimentation velocity.
05
We're loved by the entire team - from data, to product, to engineering
Tens of thousands of people are building with Statsig, across all technical functions. Our 30+ SDKs are highly performant and get 10 - 20X the usage of comparable Eppo SDKs. Advanced features enabled by SDKs (including holdouts, layers, and chained targeting) have been hardened on Statsig over 3 years - but are new features for Eppo.
06
Our infrastructure enables an end-to-end experimentation system
You can leverage Statsig's infrastructure to create a complete end-to-end experimentation system, with features like real-time logging from SDKs to your warehouse, real-time diagnostics, automated health checks, and more. Eppo does not support a comparable set of capabilities.
Feature Comparison
Core Experimentation
The basic features you need to measure feature impact.
Warehouse Native Experimentation
Run experiment analysis in your data warehouse
Hosted Experimentation Platform
Run experimentation in a platform-hosted environment
Bayesian & Frequentist
Support for both Bayesian and Frequentist methods
Experiment Templates & Summaries
Save experiment templates and export formatted reports
Holdouts
Create & manage long-term holdout groups
Mutually Exclusive Experiments
Ensure experiments do not interfere with each other
No-code experiments
Create experiments with a visual editor
Custom metric configuration
Create custom metrics using standard metric types
Advanced metrics settings
Modify metrics with filters, Winsorization, capping, and more
Performance metrics
Native support for A/B testing on percentile metrics
Growth accounting metrics
Out-of-the-box support for retention, stickiness, and churn
Days since exposure view
Cohort-based time series for identifying novelty effects
Advanced tests, methods, and techniques
Advanced experimentation features for powerful tests & advanced analysis
CUPED
Method to reduce experiment runtime and increase accuracy with historical data
Switchback Tests
Run tests when traditional randomization isn't feasible
Stratified Sampling
Balance heterogenous subjects across experiment groups
Sequential Testing
Prevent early-peeking on A/B test results
Winsorization
Reduce the influence of outliers
Bonferroni Correction
Adjust for multiple comparisons
Non-inferiority Tests
Tests to show a treatment is not worse than a control
Benjamini-Hochberg Procedure
Control the false discovery rate in multiple hypothesis tests.
Advanced explore queries
Filter results based dates, segments, or cohorts - with all advanced stats techniques (e.g., CUPED)
Automated heterogenous effect detection
Identify classes of users that are differentially impacted
"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
"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
"Statsig has been a game changer for how we combine product development and A/B testing. It's made it a breeze to implement experiments with complex targeting logic and feel confident that we're getting back trusted results. It's the first commercially available A/B testing tool that feels like it was built by people who really get product experimentation."
Joel Witten
Head of Data
"We knew upon seeing Statsig's user interface that it was something a lot of teams could use."
Laura Spencer
Chief of Staff
"The beauty is that Statsig allows us to both run experiments, but also track the impact of feature releases."
Evelina Achilli
Product Growth Manager
"Statsig is my most recommended product for PMs."
Erez Naveh
VP of Product
"Statsig helps us identify where we can have the most impact and quickly iterate on those areas."
John Lahr
Growth Product Manager
"The ability to easily slice test results by different dimensions has enabled Product Managers to self-serve and uncover valuable insights."
Preethi Ramani
Chief Product Officer
"We decreased our average time to decision made for A/B tests by 7 days compared to our in-house platform."
Berengere Pohr
Team Lead - Experimentation
"Statsig is a powerful tool for experimentation that helped us go from 0 to 1."
Brooks Taylor
Data Science Lead
"We've processed over a billion events in the past year and gained amazing insights about our users using Statsig's analytics."
Ahmed Muneeb
Co-founder & CTO
"Leveraging experimentation with Statsig helped us reach profitability for the first time in our 16-year history."
Zachary Zaranka
Director of Product
"Statsig enabled us to test our ideas rather than rely on guesswork. This unlocked new learnings and wins for the team."
David Sepulveda
Head of Data
"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
President
"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
"Statsig has enabled us to quickly understand the impact of the features we ship."
Shannon Priem
Lead PM
"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
"Working with the Statsig team feels like we're working with a team within our own company."
Jeff To
Engineering Manager
"[Statsig] enables shipping software 10x faster, each feature can be in production from day 0 and no big bang releases are needed."
Matteo Hertel
Founder
"We use Statsig's analytics to bring rigor to the decision-making process across every team at Wizehire."
Nick Carneiro
CTO
"We've successfully launched over 600 features behind Statsig feature flags, enabling us to ship at an impressive pace with confidence."
Wendy Jiao
Staff Software Engineer
"We chose Statsig because it offers a complete solution, from basic gradual rollouts to advanced experimentation techniques."
Carlos Augusto Zorrilla
Product Analytics Lead
"We have around 25 dashboards that have been built in Statsig, with about a third being built by non-technical stakeholders."
Alessio Maffeis
Engineering Manager
"Statsig beats any other tool in the market. Experimentation serves as the gateway to gaining a deeper understanding of our customers."
Toney Wen
Co-founder & CTO
"We finally had a tool we could rely on, and which enabled us to gather data intelligently."
Michael Koch
Engineering Manager
"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
"Excited to bring Statsig to Whatnot! We finally found a product that moves just as fast as we do and have been super impressed with how closely our teams collaborate."
Rami Khalaf
Product Engineering Manager
"We realized that Statsig was investing in the right areas that will benefit us in the long-term."
Omar Guenena
Engineering Manager
"Having a dedicated Slack channel and support was really helpful for ramping up quickly."
Michael Sheldon
Head of Data
"Statsig takes away all the pre-work of doing experiments. It's really easy to setup, also it does all the analysis."
Elaine Tiburske
Data Scientist
"We thought we didn't have the resources for an A/B testing framework, but Statsig made it achievable for a small team."
Paul Frazee
CTO
"With Warehouse Native, we add things on the fly, so if you mess up something during set up, there aren't any consequences."
Jared Bauman
Engineering Manager - Core ML
"In my decades of experience working with vendors, Statsig is one of the best."
Laura Spencer
Technical Program Manager
"Statsig is a one-stop shop for product, engineering, and data teams to come together."
Duncan Wang
Manager - Data Analytics & Experimentation
"Engineers started to realize: I can measure the magnitude of change in user behavior that happened because of something I did!"
Todd Rudak
Director, Data Science & Product Analytics
"For every feature we launch, Statsig saves us about 3-5 days of extra work."
Rafael Blay
Data Scientist
"I appreciate how easy it is to set up experiments and have all our business metrics in one place."
Paulo Mann
Senior Product Manager
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