Experimentation and statistical analysis
Run A/B and multivariate experiments, with Bayesian and frequentist methods. Analysis options include CUPED, sequential testing, switchback tests, holdouts, and multiple-comparison adjustments.
Statsig
Freemium
A product development platform for experimentation, feature management, analytics, and release measurement.
What is Statsig?
Statsig is a product development platform that combines experimentation, feature management, product analytics, and session replay. Teams can define product metrics, control feature releases, test changes, and review how users respond within a connected workflow. Statsig supports analysis in its own platform or in a data warehouse, with tools aimed at product, engineering, and data teams.
What can Statsig do?
Feature flags and release controls
Manage feature flags, dynamic configurations, and parameter stores. Target releases by user attributes, segments, or environment, and use percentage-based or scheduled rollouts.
Product analytics
Analyze funnels, retention, user journeys, and metric trends. Dashboards and cohort views help teams examine behavior and share performance context.
Session replay linked to product data
Review sessions alongside feature flags, experiments, and metrics to investigate user behavior and identify issues or emerging patterns.
Warehouse deployment and SDKs
The platform offers warehouse-native deployment and open-source SDKs for a broad set of programming languages and frameworks.
Release impact monitoring
Set monitoring metrics, review flag impact, and configure alerts to track performance changes and potential regressions after releases.
Use Cases
“Evaluate a product change”
Compare variants with an experiment, analyze relevant metrics, and use statistical methods to assess the results before deciding whether to expand a change.
“Control a staged release”
Separate code deployment from feature availability, target a rollout to selected users or environments, and monitor metrics as exposure increases.
“Find friction in a user journey”
Use funnels and journey analysis to locate conversion drop-offs, then consult session replays to investigate how people encounter the flow.
“Track engagement across cohorts”
Compare retention and engagement patterns for defined user groups, such as power users or users at risk of churning.
“Keep product analysis in a warehouse”
Use warehouse-native deployment when teams need product development workflows to operate with data in their own warehouse.
Frequently Asked Questions
Which teams is Statsig designed for?
Statsig presents tools for product management, engineering, DevOps, and data science teams, covering experimentation, release management, and product analysis.
Can Statsig analyze experiment results with different statistical methods?
Yes. The pricing information lists Bayesian and frequentist methods, along with options such as CUPED, sequential testing, and corrections for multiple comparisons.
Can teams control who sees a feature?
Yes. Feature management supports attribute-, segment-, environment-, and custom targeting, as well as percentage-based and scheduled rollouts.
Can Statsig run in a company's data warehouse?
Warehouse-native deployment is listed, including as an Enterprise capability. The platform also describes warehouse deployment as an option for product analytics.
Is there a free plan?
Yes. The Developer plan is listed as free and does not require a credit card. Paid Pro and custom Enterprise plans are also listed.
Quick Facts
- Category
- Product development and analytics platform
- Core products
- Experimentation, feature management, product analytics, and session replay
- Primary teams
- Product, engineering, DevOps, and data science
- Deployment options
- Statsig platform or warehouse-native deployment
- Pricing options
- Free Developer plan, paid Pro plan, and custom Enterprise plan
- Source domain
- statsig.com
Statsig Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 76
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