Statsig vs PostHog: Feature Flags Compared for 2026
Quick Comparison
| Statsig | PostHog | |
|---|---|---|
| Best For | Teams running rigorous A/B tests who want built-in statistical rigor — regression alerts, distribution analysis — alongside their feature flags. | Product and engineering teams who want feature flags connected directly to funnels, cohorts, session replay, and surveys without stitching tools together. |
| Pricing | Free tier available (2M events/mo) / $150/mo Pro (5M events included) / Enterprise custom | Free tier available / usage-based after 1M events/mo |
| Winner | Our Pick |
Tool Breakdown
PostHog
PostHog connects feature flags directly to funnels, cohorts, session recordings, and surveys in one integrated product, which covers the full loop from shipping a flag to understanding its impact — the better default unless advanced statistical experimentation is the primary need.
- Tightest integration in the category — flags connect directly to funnels, cohorts, session recordings, feature usage, surveys, and experiment reports
- Permanent free tier: 1M events/mo, 5,000 session replays/mo, 1M feature flag requests/mo, all free with no credit card
- Open-source core with a large, active community — reportedly used for free by the large majority of its companies
- Feature flags are billed by request volume rather than unlimited at every tier, unlike Statsig
- Analytics lacks some of the deeper statistical tools (like percentile metrics) that Statsig's experimentation layer offers
- No traditional affiliate/commission program — only startup credit offers
Statsig
Feature-flagging and experimentation platform billed on metered events rather than seats or MAU, bundling session replay and product analytics with advanced statistical experimentation tooling.
- Unlimited feature flags and flag/config checks at every pricing tier, including the permanent free 'Developer' tier
- Built-in automated regression alerts and percentile-level distribution analysis for experiments, deeper than PostHog's analytics layer
- Feature Gates (boolean) and Dynamic Configs (non-boolean) are cleanly separated with built-in metric tracking on both
- Pro tier overage pricing ($0.05 per 1,000 events past the 5M included) makes cost less predictable at scale than a flat per-seat model
- No disclosed affiliate commission — a referrals page exists but discloses no percentage or payout terms
- Core product is closed-source SaaS; GitHub only hosts client/server SDKs, not the platform itself
Frequently Asked Questions
Which has a better free tier, Statsig or PostHog? +
Both offer permanent, no-credit-card-required free tiers. Statsig's free 'Developer' tier includes 2M events/mo and unlimited feature flag checks. PostHog's free tier includes 1M events/mo, 5,000 session replays/mo, and 1M feature flag requests/mo. Statsig's flags stay unlimited at every paid tier too, while PostHog's flags are billed by request volume beyond the free allotment.
Is Statsig or PostHog better for A/B testing? +
Statsig, for teams that need statistical depth — it includes built-in automated regression alerts and percentile-level distribution analysis. PostHog's experimentation is solid for straightforward tests connected to its broader analytics, but doesn't match Statsig's dedicated statistical tooling.
Do Statsig or PostHog have affiliate programs? +
Neither has a traditional commission-based affiliate program. Statsig has a referrals page that discloses no specific percentage or payout terms, and PostHog offers only startup credit deals rather than an ongoing affiliate commission structure.