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Enterprise Layer Intelligence
Categories/Data Analytics/GrowthBook
GrowthBook

GrowthBook

Founded 2020

Open source platform that gives any company the power of a customized feature flagging and A/B testing system.

Pricing model

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use GrowthBook to run feature flags and A/B tests directly connected to your data warehouse. It lets you release features gradually, test changes with real users, and measure results using your existing data. You can create experiments without engineering help, control feature rollouts, and analyze performance with Bayesian or Frequentist statistics. The platform includes visual editing for website tests and connects with common event tracking systems.

What GrowthBook does

Create feature flags for gradual feature rolloutsSet up A/B tests with statistical significance trackingConfigure visual website tests without codingConnect experiment data to your existing data warehouseMonitor real-time experiment performance and metricsDeploy emergency kill switches for problematic featuresSegment users for targeted feature releasesGenerate statistical reports with confidence intervalsConnect directly to your data warehouse for analysisLightweight SDKs that are half the size of competitorsVisual editor for website tests without codingSupport for both Bayesian and Frequentist statisticsSelf-host with open source code on GitHubZero network requests required for feature flag lookupsBuilt-in CUPED support for faster experimentsSOC 2 and GDPR compliant security

Pricing breakdown

Pricing model: Free tier

PlanList price
FreeFree

Tutorials & Demos

Frequently asked

PythonPythonGithubGithub

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GrowthBook, feature flags, A/B testing, experimentation, data warehouse, product analytics, statistical analysis, visual editor, SDK, open source, product management, conversion optimization, user testing