What Products and Features Are Included in the Statsig Platform?
Updated
Statsig is a product development platform that bundles experimentation, feature management, product analytics, session replay, and supporting infrastructure into one toolkit. According to the site, it gives teams "5+ products in a single platform" — build product metrics, iterate with flags and experiments, then analyze results with a statistical engine and product analytics. It suits teams that want release control and measurement in one place rather than stitching separate tools together; the exact fit depends on your stack and scale.
Core products
Experimentation
Run sophisticated tests and compute results with advanced statistical treatments. Statsig positions this as its leading experimentation platform, and the site notes tests can run "in your warehouse" (Warehouse Native). Related capabilities listed include Power Analysis, Holdouts, Layers, and a Metrics Explorer.
Feature Management (Feature Flags)
Control your release process with feature flagging. The site states Statsig Feature Flags are linked directly to your product data, battle-tested at massive scale, and "shockingly affordable." This is the module you'd use to gate rollouts and connect a release to the metrics it affects.
Product Analytics
Turn action into insights and insights into action. The emphasis is on building "a trusted set of product metrics" rather than ad-hoc dashboards. Supporting tools listed include Metrics Explorer, User Segments, Events Ingestion, and Logs Explorer.
Web Analytics
A separate analytics surface for web traffic and behavior, listed alongside Product Analytics in the product lineup.
Session Replay
Record and review user sessions to see how experiences actually land. Listed as one of the integrated products.
No-code Editor
A visual editing capability listed among the integrated products, aimed at making changes without code.
Platform and infrastructure capabilities
| Capability | What it covers |
|---|---|
| Warehouse Native (WHN) | Run experimentation and analytics against your own warehouse |
| Infrastructure / Infra Analytics | Infrastructure-level measurement |
| SDKs | Client and server integration libraries |
| Integrations | Connections to other tools in your stack |
| Dynamic Configs | Runtime configuration without redeploying |
| Parameter Stores | Centralized parameter management |
| Autotune | Automated optimization |
| Layers | Experiment layering to manage overlapping tests |
| Holdouts | Withhold a change from a group to measure long-term effect |
| Power Analysis | Plan test size and sensitivity |
| Metrics Explorer | Explore and define metrics |
| Logs Explorer | Inspect event and log data |
| User Segments | Define audience groups |
| Events Ingestion | Bring event data in |
Solutions organized by role and industry
Statsig groups its offering for Engineering, DevOps, Data Science, and Product Management, and lists industry solutions for Gaming, B2B SaaS, and E-Commerce. There is also a Marketing Experiments product for marketing-side testing.
Supporting resources
The site lists a Sample Size Calculator, Statsig Lite, and Statsig University under support. Statsig also states it is "part of the Amplitude family."
How to decide if it matches your needs
- If you mainly need release control tied to metrics, Feature Management plus Experimentation is the core pair.
- If you mainly need behavioral insight, Product Analytics, Web Analytics, and Session Replay cover that.
- If your data must stay in your warehouse, check the Warehouse Native capability before committing.
- If you want to avoid multiple vendors, the single-platform bundling is the main argument.
Pricing is not specified in the available material beyond a link to the pricing page, so check that page directly for current terms. You can create a free account or contact sales from the site to evaluate further.