What is GrowthBook used for?

GrowthBook is used for feature flagging and A/B testing, allowing teams to roll out features safely, target specific users, and run experiments to make data-driven product decisions.

Is GrowthBook open-source?

Yes, GrowthBook is open-source, and you can self-host it or use their cloud offering.

How does GrowthBook handle feature flags?

GrowthBook lets you create feature flags to control feature rollout, target users by attributes, and gradually release features with instant kill-switch capabilities.

Can GrowthBook integrate with other tools?

Yes, GrowthBook integrates with popular tools like Segment, Mixpanel, Amplitude, and many others for data and analytics, and it supports SDKs for various programming languages.

Does GrowthBook support A/B testing?

Yes, GrowthBook includes A/B testing features, allowing you to run experiments, analyze results with statistical significance, and make informed decisions.

Is there a free tier for GrowthBook?

GrowthBook offers a free tier for up to 3 users and 100K events per month, with paid plans for larger teams and additional features.

GrowthBook - AI Large Model Platform tools - Free trial, pricing intro, performance review, official site access and online experience

What is GrowthBook?

GrowthBook is an open-source feature flagging and A/B testing platform built by GrowthBook, Inc. It lets teams roll out features safely, target specific users, and run experiments to guide product decisions. The 5.0 release marks a major overhaul, with feature flags rewritten from scratch, Product Analytics reaching general availability, and AI integrated throughout the platform. GrowthBook now extends experimentation beyond engineers, opening it up to the whole team across the app, terminal, code editor, or browser.

Application scenarios

Safe feature rollouts
Teams can ship new features gradually and protect rollouts with customizable governance guardrails that catch bad flags before they go live.
A/B testing at scale
Run experiments with streamlined setup, scheduled starts, and faster, cheaper warehouse queries designed for high-volume testing.
AI-assisted operations
Agents can operate GrowthBook directly—shipping flags, launching experiments, analyzing results, and cleaning up after themselves.
No-code experimentation
Growth teams can build and ship tests from the browser using the AI Visual Editor, without waiting on an engineer.
Product analytics
Engineers and experimenters can use warehouse-native product analytics with funnels, composable dashboards, and experiment meta-analysis.
Cross-environment workflow
Users can work with GrowthBook wherever they operate—in the app, terminal, code editor, or browser.

Core Features

AI agents and CLI
Official skills, a new in-app assistant, and a CLI that covers the entire API let agents ship flags, launch experiments, and analyze results directly.
AI Visual Editor
Rebuilt from scratch, this browser-based editor supports image generation and Figma integration, enabling AI-native experimentation without engineering help.
Product Analytics (GA)
Warehouse-native analytics built on the same metrics your experiments already use, now with funnels, composable dashboards, and experiment meta-analysis.
Feature flag governance
Customizable guardrails catch bad flags before they ship, protecting rollouts whether they come from humans or AI agents.
Faster experiments
Streamlined experiment setup, scheduled starts, and optimized warehouse queries reduce friction when running tests at scale.
Self-hosted deployment
GrowthBook 5.0 is live on Cloud and available for self-hosted installations, giving teams full control over their infrastructure.

Target users

GrowthBook serves product engineering teams, growth marketers, and product managers who need to ship features quickly and validate decisions with data. The 5.0 release specifically targets non-engineers—growth teams can now run tests independently, while engineers benefit from faster experimentation and stronger governance. Data teams and analysts will also find value in the warehouse-native Product Analytics built on existing experiment metrics.

How to use GrowthBook?

Start by signing up on the GrowthBook website—no credit card is required for the free tier. From there, you can set up feature flags, create experiments, and configure analytics. The platform works across the app, CLI, and code editor, so you can choose your preferred workflow. For teams wanting full control, self-hosted deployment is available. GrowthBook also hosts live Office Hours where users can bring questions and suggest what to build next.

Pricing and free trial

GrowthBook offers a free tier that includes feature flags, experimentation, and product analytics—no credit card required. The site also provides a "Get Started" option and a "Book a Demo" path for teams that want a guided walkthrough.

Effect review

GrowthBook 5.0 represents a significant maturity jump for the platform. The rewrite of feature flags, the GA launch of Product Analytics, and the AI integration across agents, visual editing, and governance show a product that's serious about scaling with modern development workflows. The emphasis on opening experimentation to non-engineers addresses a real bottleneck—growth teams often depend on engineering capacity to run tests, and the AI Visual Editor directly removes that dependency. The governance layer is particularly timely, as AI agents shipping flags without human oversight demands automated guardrails. For teams already using GrowthBook, the faster experiment setup and cheaper warehouse queries should deliver immediate operational wins. The platform's breadth—from flags to analytics to AI agents—makes it a compelling choice for product-led organizations, though teams will need to evaluate whether the warehouse-native analytics fits their existing data stack.

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