Statsig
Modern experimentation and feature gate platform with built-in product analytics, designed for high-velocity product teams.
Statsig is a modern experimentation platform built by former Facebook engineers, combining feature gates, A/B testing, and product analytics in a single product. It's designed for high-velocity product teams that want to experiment on every release.
Key Features
Feature gates (flags) with automatic experiment analysis. A/B testing with CUPED variance reduction for faster results. Built-in product analytics (events, funnels, retention). Warehouse-native mode for running on your own data. Autotune (multi-armed bandit optimization). Generous free tier (up to 1M events/day for experimentation, 50M for analytics).
Best For
Product teams that want to experiment on every feature release. Companies looking for a modern, affordable alternative to Optimizely. Teams that want integrated analytics and experimentation. High-velocity engineering orgs inspired by Facebook/Meta's experimentation culture.
Limitations
Newer platform with a smaller customer base than Optimizely or LaunchDarkly. Less enterprise governance and compliance tooling. The analytics product is growing but not yet as deep as dedicated analytics tools.
| Plan | Price | Details |
|---|---|---|
| Free | Free | 50M free events for experimentation, 1M for analytics |
| Pro | $0.03/1K events | After free tier; volume discounts |
| Enterprise | Custom | Advanced features, SLAs, dedicated support |
Used by
Notion · OpenAI · Figma · Anthropic · Brex · Plaid · Flexport · Watershed
Use cases
- Automatically measuring the impact of every feature release
- Running experiments with faster results using CUPED
- Optimizing conversion flows with multi-armed bandits
- Combining feature flags and experimentation in one platform
Alternatives
- Optimizely — Enterprise experimentation platform for A/B testing, multivariate testing, and personalization across web, mobile, and server-side. ($50,000/year)
- LaunchDarkly — Feature management platform enabling teams to deploy code and control feature rollouts with granular targeting and instant kill switches. ($10/seat/mo)