Statsig

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Introduction

Statsig bundles several products in one platform: experimentation, feature flags (called feature gates), product analytics, session replay and web analytics. Its site frames this as testing how each release lands with customers.

Experiments use Statsig’s stats engine with features such as CUPED variance reduction and sequential testing, and every feature gate rollout can report metric impact automatically. A warehouse-native option runs analysis in your own data warehouse. SDKs cover many server, client and mobile platforms.

In the quality loop Statsig measures release impact in production and supports UX experiments.

Features

1. Experiments: A/B and multivariate tests.
2. Feature gates: Targeted rollouts with impact metrics.
3. Product analytics: Funnels, retention and dashboards.
4. Session replay: Watch user sessions.
5. Warehouse native: Analysis on your data.
6. Many SDKs: Server, web and mobile.

Pros

1. Generous free tier: Free usage covers many small teams.

Cons

1. Event-based pricing: Costs grow with traffic.
2. Platform breadth: Many products to learn.
3. Hosted: Data goes to Statsig unless warehouse-native.

Usage and Links (Example)

import Statsig from "statsig-node";
await Statsig.initialize(process.env.STATSIG_SERVER_KEY);
const on = Statsig.checkGateSync({ userID: "42" }, "new_checkout");

Resources:

• Statsig website

Pricing

Statsig’s pricing page lists a Free plan with 2M events and 50,000 session replays per month, and a Pro plan from $150 per month that includes 5M events, then $0.05 per 1,000 events. Enterprise pricing is via sales.

Recommended for?

1. Product teams wanting flags, experiments and analytics together.
2. Startups using the free tier.

Conclusion

Statsig offers a broad, experiment-centric product platform with a strong free tier.

Model event volume before scaling to estimate cost.

On CheckOps, Statsig is filed under the Release & CI gates, Production monitoring & observability and Prototype & UX testing stages. Related tools listed here include GrowthBook, PostHog, Optimizely, Wingify (VWO and AB Tasty), LaunchDarkly and Microsoft Clarity. Before standardising on one, compare recent maintenance activity, the pricing model as your usage grows, and the integrations you rely on today. Information on this page was verified against the official website, documentation and repository on 11 November 2026.