Statsig Startup Deals & Discounts

Statsig runs an application-based startup program that grants qualifying early-stage companies a substantial pool of platform credits - reported at up to $50,000 - to offset usage costs while they scale. The credits apply against Statsig's metered-event billing, which is the core unit the platform charges on, so the benefit directly reduces what a growing team pays as experiment exposures, logged events, and ingested metrics climb.

The program is aimed at founders who are still finding product-market fit and want to run real experiments and rollouts without metering anxiety in the early months. Because Statsig already offers a generous free Developer tier, the credit pool is most valuable to teams that expect to graduate past free-tier volumes quickly - high-growth consumer apps, AI products shipping fast, and data-heavy SaaS.

Approval is discretionary and based on eligibility review rather than a public discount. Typical criteria for programs like this include company age, funding stage, and not being an existing paying customer. Founders apply, get evaluated, and if accepted receive the credits applied to their account. Terms, exact credit amounts, and qualifying thresholds are set by Statsig and can change, so treat the headline figure as a ceiling rather than a guarantee.

Statsig fits teams that want to ship fast and prove impact rather than argue about it.

• Trustworthy A/B testing without a data science team - product and growth teams use the built-in stats engine, CUPED, and sequential testing to reach reliable conclusions faster, instead of building experiment analysis in-house or eyeballing dashboards.
• Safe, gradual feature releases - engineers gate new code behind feature flags, roll it out to 1% then ramp up, and keep an instant kill switch ready, decoupling deploys from releases so a bad change does not require a hotfix.
• Closing the loop between shipping and measuring - because flags, experiments, and analytics share one event stream, teams can answer "did this feature actually move retention?" directly, with session replays available to see the behavior behind the metric.
• Privacy-sensitive analytics at scale - companies with data-residency or compliance needs run Warehouse Native so raw user events and computation stay inside their own Snowflake, BigQuery, or Databricks environment.
• Fast-moving AI products - teams iterating quickly on AI features use rapid flagging plus experimentation to validate model and UX changes against real usage rather than intuition.

Statsig prices on metered events - exposures, logged events, and ingested or custom metrics - rather than per seat, so adding teammates does not raise the bill.

• Developer (Free): $0/month. Includes 2 million events per month, unlimited feature flag and config checks, and 50,000 session replays per month. Covers gates, experiments, and analytics for early-stage products.
• Pro: $150/month base fee. Includes 5 million events per month and 100,000 session replays, with overage billed at $0.05 per additional 1,000 events.
• Enterprise (Custom): Negotiated pricing with large volume discounts. Adds Warehouse Native deployment, outgoing data integrations, warehouse imports, SSO, role-based access controls, priority support, and HIPAA eligibility. As of 2026 the former separate Warehouse Native tier was merged into this Custom plan.

Pricing and tier details are set by Statsig and can change; confirm current figures before committing. Startup credits, where granted, apply against this metered-event billing.