Startups > Statsig

Statsig

Statsig helps product teams run experiments and ship features safely at scale.

Series C $153.4M total Founded 2021 Bellevue, Washington 141 employees

Statsig is a unified experimentation and feature management platform that enables product teams to run A/B tests, deploy features safely via feature flags, and analyze user behavior without redeploying code. The platform combines feature flagging, experimentation, session replay, and analytics into a single workflow, with a warehouse-native option that operates within customers' existing data infrastructure like Snowflake and BigQuery. Used by companies like Notion, Microsoft, Brex, and Electronic Arts, Statsig accelerates product innovation by democratizing experimentation across developers, PMs, and designers. The company has achieved $40M ARR and raised $153.4M at a $1.1B valuation.

Problem solved

Product teams struggle to run rapid experiments, safely release features, and correlate business impact without duplicating data infrastructure and experimentation tools.

Target customer

Mid-market to enterprise product teams at high-growth companies (Series B+) in tech, gaming, e-commerce, and AI who conduct 100+ experiments annually and require unified experimentation infrastructure.

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Founders

Vijaye Raji

Founder & CEO

Former VP of Engineering and Head of Entertainment at Facebook/Meta; previously spent nearly a decade at Microsoft building Windows, SQL Server, and Visual Studio technologies.

Funding history

Series A $10.4M August 2021 Led by Sequoia Capital · Madrona Venture Group

Series B $43M April 2022 Led by Unknown · Sequoia Capital, Madrona Venture Group

Series C $100M May 2025 Led by ICONIQ Growth · Sequoia Capital, Madrona Venture Group

Total raised: $153.4M

Industries

Analytics Big Data SaaS

Pricing

Usage-based SaaS model with tiered options. Free tier: 2M events/month. Pro: $150/month with 5M events included, then $0.05 per 1K additional events. Enterprise: Custom pricing with event or experiment-based contracts, large volume discounts, and warehouse-native deployment options.

Notable customers

Notion, Microsoft, Brex, Electronic Arts, Atlassian, Ancestry, Plex, Honeybook, Flipkart, Lime, WhatNot

Integrations

Snowflake, BigQuery, Redshift, Databricks, AWS, Clearbit Reveal, Google Analytics

Tech stack

Prism (UI frameworks) Clearbit Reveal (Analytics) Google Analytics (Analytics) Microsoft 365 (Email) Amazon Web Services (PaaS) Envoy (Reverse proxies)

Website

statsig.com/

Competitors

LaunchDarkly

More focused on feature flags with enterprise security; less integrated experimentation and analytics capabilities than Statsig's unified platform.

Optimizely

Broader experimentation platform but heavier and more legacy-focused; lacks Statsig's warehouse-native architecture and streamlined developer experience.

Amplitude

Analytics-first platform with basic experimentation; less emphasis on feature flagging and real-time feature control compared to Statsig's integrated approach.

Why this matters: Statsig is notable for combining previously fragmented experimentation tools (feature flags, A/B testing, analytics) into a unified platform while pioneering warehouse-native experimentation—operating analysis within customers' existing data infrastructure. The company's $1.1B valuation, $40M ARR, and backing from top-tier VCs (Sequoia, ICONIQ) reflect strong market validation in an increasingly competitive feature management space where consolidation and speed are competitive advantages.

Best for: Product teams at growth-stage companies running 100+ experiments annually who need unified feature management, experimentation, and analytics without duplicating data infrastructure.

Use cases

Accelerating Experimentation Velocity

Ancestry increased experiments from 70 to 600+ annually by consolidating experimentation infrastructure with Statsig, enabling their Growth team to expand from 4 to 25 professionals. The platform's unified event stream allows any product team member to define, launch, and analyze experiments without engineering bottlenecks, turning months-long experiment cycles into weeks.

Safe Feature Rollouts with Gradual Deployment

Plex used feature flags to gradually roll out new registration flows to 5% of users first, measured an 8% uplift in conversions, then confidently rolled out to 100%. Feature gates enable teams to toggle features in real-time without code deployment, reducing risk and enabling instant rollback if issues arise.

Consolidating Analytics and Reducing Tool Sprawl

Brex achieved 50% time efficiency gains by replacing separate analytics, experimentation, and feature flag tools with Statsig's unified platform. Teams no longer reconcile data across systems, reducing context-switching and operational overhead while gaining a single source of truth for product decisions.

Alternatives

LaunchDarkly Choose LaunchDarkly if enterprise security and compliance certifications are non-negotiable; it's stronger on audit trails but weaker on integrated analytics than Statsig.

Optimizely Choose Optimizely if you need a broader experimentation platform with visual editor capabilities; it's heavier and more legacy-oriented than Statsig's modern, developer-first approach.

Growthbook Choose Growthbook if you prefer open-source and self-hosted options; Statsig offers better warehouse-native integrations and enterprise support.

FAQ

What does Statsig do? +

Statsig is a unified experimentation platform that combines feature flags, A/B testing, session replay, and product analytics into one workflow. It enables product teams to safely deploy features without code changes, run rapid experiments to measure impact, and analyze user behavior. The platform operates either as a traditional SaaS or within customers' data warehouses (Snowflake, BigQuery, etc.) for enhanced data privacy and control.

How much does Statsig cost? +

Statsig uses usage-based pricing based on events logged. Free tier includes 2M events/month. Pro plan costs $150/month with 5M events, then $0.05 per 1K additional events. Enterprise plans offer custom pricing with volume discounts and warehouse-native deployment.

What are alternatives to Statsig? +

LaunchDarkly is a strong alternative for enterprise feature flagging with superior compliance certifications. Optimizely is a broader experimentation platform better suited for enterprises needing visual editors. Growthbook offers open-source and self-hosted options. Amplitude provides analytics-first experimentation but lacks Statsig's integrated feature flag management.

Who uses Statsig? +

Target customers are mid-market to enterprise product teams running 100+ experiments annually, including companies like Notion, Microsoft, Brex, Electronic Arts, and Atlassian. Best fit for Series B+ SaaS, gaming, e-commerce, and AI companies that prioritize experimentation velocity and data consolidation.

How does Statsig compare to LaunchDarkly? +

Statsig's key advantage is its unified platform combining feature flags, experimentation, and analytics in one place with a shared event stream—enabling deeper insights and faster experimentation cycles. LaunchDarkly excels at pure feature flag management with stronger enterprise compliance certifications and audit trails, but requires separate tools for analytics and experimentation. Statsig is more developer-friendly and modern; LaunchDarkly is more enterprise-hardened.