Statsig

Statsig is a modern, integrated product development platform designed to help businesses build better products faster. It consolidates multiple essential tools into a single, cohesive ecosystem, including advanced experimentation, feature management, product analytics, and session replays. Trusted by industry leaders like OpenAI, Notion, Brex, and Atlassian, Statsig provides the infrastructure to scale product development, from startups to large enterprises. The platform is built to handle massive scale, processing over a trillion events per day with 99.99% infrastructure uptime, enabling teams to make smarter, data-driven decisions with confidence.

How to use Statsig

Getting started with Statsig is a straightforward process designed for developers and product teams. First, you sign up for an account, which automatically places you on the generous free Developer tier. Next, you integrate Statsig into your application by installing the appropriate SDK from a selection of over 30 options, covering frameworks like React, Python, Java, Swift, Go, and more. Once the SDK is integrated, you can start logging events and using the core features. From the Statsig console, you can configure feature flags for controlled rollouts, set up sophisticated A/B/n experiments to test hypotheses, build custom dashboards to analyze product metrics, and watch session replays to understand user behavior in context. The platform's real-time diagnostics and debugging tools help ensure everything is set up correctly.

Core Features of Statsig

• Experimentation: A world-class A/B/n testing platform with advanced statistical methods like Bayesian and frequentist analysis, CUPED for variance reduction, and corrections for multiple comparisons. It supports multi-variate tests, holdouts, and multi-arm bandit experiments.
• Feature Management: An intelligent feature flagging system that gives you complete control over your release process. It allows for percentage-based rollouts, scheduled releases, attribute-based targeting, and automated rollbacks based on metric impact.
• Product Analytics: A full suite of analytics tools to turn user actions into insights. Build funnels, retention curves, user journey maps, and custom dashboards. It integrates seamlessly with experiments and feature flags to measure the long-term impact of every change.
• Session Replays: See exactly how users interact with your app or website. Replays are linked to feature flags, experiments, and metrics, allowing you to debug issues, identify user pain points, and discover new trends.
• Warehouse Native: An option for enterprise customers to run Statsig directly on their own data warehouse (e.g., Snowflake, BigQuery, Redshift), providing enhanced security, data governance, and control.
• Extensive SDK Support: Over 30 open-source, high-performance SDKs for nearly every client-side and server-side language and framework.

Use Cases for Statsig

Statsig is versatile and serves various teams within an organization. Product Managers use it to test hypotheses, validate new features, and understand their impact on key business metrics. Engineers leverage feature flags to decouple deployment from release, enabling them to ship code faster and with reduced risk. Data Scientists and Analysts use the advanced stats engine to run complex experiments and derive deep insights from user data. For example, Brex's data team achieved a 50% time efficiency gain by consolidating their tools with Statsig. OpenAI uses Statsig to iterate quickly on products like ChatGPT, scaling experimentation and learning efficiently. Whatnot uses it to manage releases at scale and collaborate effectively between teams.

Advantages of Statsig

The primary advantage of Statsig is its all-in-one, integrated nature. By combining 5+ tools into a single platform, it eliminates the need for expensive and fragmented point solutions, reducing both cost and complexity. Its infrastructure is battle-tested at massive scale, ensuring reliability and performance. The platform is uniquely data-centric, linking every feature flag and experiment directly to product metrics, which empowers teams to learn from every release. Furthermore, its generous free tier and affordable, scalable pricing make powerful product development tools accessible to companies of all sizes. The Warehouse Native option also provides a key advantage for enterprises concerned with data security and governance.

Pricing and Plans

Statsig offers a flexible, usage-based pricing model designed to scale with your company's growth.

• Developer Plan: Free. This plan includes 2 million metered events per month, unlimited feature flag checks, 50,000 session replays per month, and core experimentation and analytics features. No credit card is required to start.
• Pro Plan: Starts at $150/month. This includes 5 million metered events (with overages at $0.05 per 1,000 events), unlimited flag checks, and 100,000 session replays. It adds advanced experimentation and analytics features, unlimited data retention, and change review workflows.
• Enterprise Plan: Custom pricing. Tailored for large organizations, this plan offers volume discounts, Warehouse Native deployment, SSO, role-based access controls, priority support, and HIPAA eligibility.
• Statsig for Startups: A special program for eligible startups, providing 1 billion free events (a $50,000 value) and access to enterprise-level features.