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Enterprise Layer Intelligence
Categories/Data Analytics/Statsig
Statsig

Statsig

Founded 2021

Run product experiments, manage feature flags, and track user analytics in one place

Pricing model

Free Tier, Paid

You can use Statsig to release software safely, run statistical A/B tests, and track product metrics across your web and mobile applications. It connects directly with your data warehouse to measure how new features impact user behavior and core business metrics. You can roll out features gradually using targeted feature flags, conduct holdout experiments, and watch session replays to spot friction points. This setup combines technical release controls with deep analytical insights, helping engineering and product teams ship updates faster with clear data.

What Statsig does

Create and toggle feature flagsConfigure multivariate A/B testsAnalyze user retention funnelsInspect recorded session replaysTarget features by user segmentsCalculate sample size requirementsMonitor feature release errorsDirect warehouse native data computation and analysisGradual percentage rollouts and targeted feature flagsAutomated A/B testing stats engine with holdoutsIntegrated session replays tied directly to feature flagsDynamic configurations and parameter stores without code redeploysProduct analytics dashboards and user funnel trackingSub-millisecond post-initialization evaluation latencySupport for more than twenty client and server SDKs

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
DeveloperFree
Pro$150 / mo

Frequently asked

ReactReactNode.jsNode.jsNext.jsNext.jsPythonPythonGoGoUnityUnitySlackSlack

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Statsig, feature flags, product experimentation, A/B testing, session replay, web analytics, warehouse native, product analytics, user segmentation, holdouts, rollout management, feature management