Statsig — Genuinely good experimentation with a free tier covering a million monthly tracked users — and two changes of ownership in about a year.
Short answer: Statsig is an experimentation and feature flagging platform. Its free tier covers up to 1 million monthly tracked users with unlimited feature seats and core flagging and experimentation. Pro starts at $150 a month for up to 1 million MTUs and 5 feature seats. Billing meters events — exposures, log events, ingested metrics and custom metrics — rather than seats. OpenAI acquired Statsig for $1.1 billion, and since May 2026 Amplitude has managed the brand and its customers.
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Verdict at a glance
Overall rating: 3.5/5 ★★★☆☆
Standout: A free tier covering a million monthly tracked users with unlimited seats. For feature flagging and experimentation at that scale, nothing else here comes close on price.
Watch out: Two ownership changes in roughly a year — OpenAI acquired Statsig for $1.1 billion, and Amplitude has managed the brand and customers since May 2026. No pricing changes have been announced, but the roadmap now sits with a third party.
Statsig is a strong product with an unsettled corporate story, and both halves matter to a buyer. The product first: a free tier covering up to 1 million monthly tracked users with unlimited feature seats and core flagging and experimentation is remarkable for this category, where Optimizely’s reported entry is around $36,000 a year. Pro starts at $150 a month for up to 1 million MTUs and 5 feature seats, and the metering is on events — exposures, log events, ingested metrics and custom metrics — rather than on people, with Developer and Pro including unlimited seats and unlimited feature flag and config checks. For an engineering team that wants rigorous experimentation without an enterprise contract, that is a genuinely attractive proposition. The corporate story is the caveat. OpenAI acquired Statsig for $1.1 billion, with Statsig’s CEO becoming OpenAI’s CTO of Applications, and since May 2026 Amplitude has managed the Statsig brand and its customers. No plan pricing changes have been announced since that transition, which is reassuring as far as it goes. But two ownership changes in about a year means the roadmap, support model and long-term pricing now depend on decisions a buyer cannot see. Excellent economics, uncertain custody.
Quick facts
| Attribute | Detail |
|---|---|
| Ideal team | Engineering teams wanting experimentation without an enterprise contract |
| Learning curve | Moderate — statistical rigour requires understanding |
| Setup time | Hours — SDK integration and metric definition |
| Free trial | Free tier rather than a trial |
| Free tier | ⭐ Yes — up to 1 million MTUs with unlimited feature seats |
| Metering | Events — exposures, logs, ingested and custom metrics |
| Ownership | ⚠️ OpenAI acquired for $1.1B; Amplitude-managed since May 2026 |
| Key limit | Pro includes 5 feature seats at $150/month |
Overview
Statsig provides feature flagging, experimentation and product analytics on one platform, aimed at engineering teams who want statistical rigour without an enterprise procurement process. Its free tier is the headline: up to 1 million monthly tracked users with unlimited feature seats and the core flagging and experimentation capabilities included. Set against Optimizely’s reported entry near $36,000 a year for comparable experimentation depth, that is a different order of accessibility, and it is why Statsig became a default for engineering-led product teams.
The commercial model meters events rather than people. Statsig charges for monthly metered events — exposures, log events, ingested metrics and custom metrics — while Developer and Pro plans include unlimited seats plus unlimited feature flag and config checks. Pro starts at $150 a month for up to 1 million MTUs and 5 feature seats. Charging on events rather than seats is the right decision for a developer tool: it means adding engineers to the platform costs nothing, and cost tracks the volume of experimentation you are actually running.
The ownership history requires stating plainly because it affects a buying decision. OpenAI acquired Statsig for $1.1 billion, with Statsig’s chief executive Vijaye Raji taking the role of OpenAI’s CTO of Applications. Since May 2026, Amplitude has managed the Statsig brand and its customer relationships following that OpenAI acquisition. No changes to Statsig plan pricing have been announced since Amplitude took over. That stability is genuinely reassuring for now, but two ownership transitions in roughly a year mean the roadmap, support model and long-term pricing depend on decisions a customer has no visibility into — and Amplitude is itself a competitor in adjacent product analytics. Weigh that alongside the excellent economics.
Key features
- Feature flags — unlimited checks on Developer and Pro
- Experimentation — statistical A/B and multivariate testing
- Product analytics — on the same event stream as experiments
- Free tier to 1 million MTUs — with unlimited feature seats
- Event-based metering — exposures, logs, ingested and custom metrics
- Unlimited seats — on Developer and Pro plans
- Unlimited config checks — no per-check charge on paid plans
- Server and client SDKs — across the common languages
- Metric definition — custom metrics feeding experiment analysis
- Warehouse-native options — for teams keeping data in place
Pricing (as of 2026-09-17)
Model: metered on events rather than seats; large free tier · Free tier: ⭐ yes — up to 1 million MTUs with unlimited feature seats · Entry paid: $150/mo (Pro)
| Plan | Price | Includes |
|---|---|---|
| Free | $0 | ⭐ Up to 1 million monthly tracked users · unlimited feature seats · core feature flagging and experimentation |
| Developer | Metered on events | Unlimited seats · unlimited feature flag and config checks · billed on monthly metered events |
| Pro | From $150/mo | Up to 1 million MTUs and 5 feature seats at the entry price · unlimited seats and unlimited flag and config checks · billed on metered events above the allowance |
| Enterprise | Contact sales | Custom volumes, support and contractual terms |
⭐ The free tier covers up to 1 million monthly tracked users with unlimited feature seats. For experimentation at that scale this is dramatically cheaper than the alternatives — Optimizely‘s reported entry is around $36,000 a year for comparable depth.
⚠️ Ownership has changed twice in roughly a year. OpenAI acquired Statsig for $1.1 billion, with Statsig’s CEO becoming OpenAI’s CTO of Applications, and Amplitude has managed the Statsig brand and its customers since May 2026. No plan pricing changes have been announced since that transition, but roadmap, support and long-term pricing now depend on decisions a customer cannot see — and Amplitude competes in adjacent product analytics.
Billing meters events — exposures, log events, ingested metrics and custom metrics — rather than seats, and Developer and Pro include unlimited seats plus unlimited feature flag and config checks. Adding engineers therefore costs nothing; running more experiments does.
Ratings breakdown
| Criterion | Score | Why |
|---|---|---|
| Ease Of Use | 4.0/5 | Good SDKs; statistical depth requires understanding to use well |
| Features | 4.5/5 | Strong experimentation, flags and analytics on one event stream |
| Value | 4.5/5 | A million free MTUs against Optimizely’s reported $36,000 entry |
| Support | 3.0/5 | ⚠️ Uncertain following two ownership transitions in a year |
Pros
- Free tier covering up to 1 million monthly tracked users
- Unlimited feature seats even on the free tier
- Metered on events rather than seats, so adding engineers costs nothing
- Unlimited feature flag and config checks on Developer and Pro
- Experimentation, flags and analytics on one event stream
- Pro at $150 a month is far below enterprise experimentation platforms
- SDKs across the common client and server languages
- No plan pricing changes announced since the Amplitude transition
Cons
- ⚠️ Two ownership changes in roughly a year — OpenAI, then Amplitude-managed
- ⚠️ Roadmap and support model now depend on a third party’s decisions
- Amplitude, which manages the brand, competes in adjacent product analytics
- Event metering makes costs harder to forecast than a flat subscription
- Pro’s entry price includes only 5 feature seats before scaling
- Statistical rigour requires trained practitioners to use properly
- Less established support track record than the incumbent platforms
Who it’s for
- Engineering teams wanting rigorous experimentation without enterprise pricing
- Product teams running experiments at up to a million monthly tracked users
- Companies who would otherwise be priced out by Optimizely
- Teams who want flags, experiments and analytics on one event stream
Who it’s not for
- Organisations that need vendor and roadmap stability above all
- Teams wanting a flat, predictable subscription rather than event metering
- Marketing teams needing a visual test editor — that is VWO’s territory
- Buyers uncomfortable with a brand managed by an adjacent competitor
Best use cases
- Running statistically rigorous experiments on a free million-MTU tier
- Shipping features behind flags with unlimited config checks
- Analysing experiment results on the same event stream as product analytics
- Adding engineers to the platform without any seat cost
- Replacing an enterprise experimentation contract at a fraction of the price
Integrations
Statsig provides client and server SDKs across the common languages, warehouse-native options for teams keeping data in place, and connections into the wider data stack. The warehouse-native path is worth noting for organisations with strict data governance, since it allows experiment analysis to run against data that never leaves their own environment — a meaningful consideration given the ownership changes described above.
How it compares
| Statsig | PostHog | Optimizely | Heap | |
|---|---|---|---|---|
| Entry paid | $150/mo Pro | $0 — usage above free tier | ~$36,000/yr reported | Growth ~$3,600/yr reported |
| Free tier | ⭐ 1M MTUs | ⭐ 1M events/month | None | 10K sessions/month |
| Metering unit | Events | Events per product | Monthly tracked users | Sessions |
| Seats included | ⭐ Unlimited | Unlimited | Custom | Unlimited on Growth |
| Feature flags | ⭐ Core product | ⭐ 1M requests free | Separate module | No |
| Ownership stable | ⚠️ OpenAI, now Amplitude-managed | Yes | Yes | ⚠️ Contentsquare-owned |
| Best fit | Experimentation and flags | Engineering-led product analytics | Enterprise experimentation | Autocapture analytics |
PostHog, Matomo and Umami figures are vendor-published or drawn from published documentation and verified 2026-09-17. Heap, Statsig and Optimizely paid pricing is third-party reported, as none publishes full public rates.
Alternatives
PostHog is the closest alternative and arguably better positioned — a million free analytics events and a million free feature flag requests monthly, twelve products on one event stream, and stable independent ownership. Optimizely is the enterprise experimentation standard at a reported $36,000 a year entry. VWO serves marketing-led testing. Heap covers autocapture product analytics.
Recent changes
The most consequential change is ownership. OpenAI acquired Statsig for $1.1 billion, with Statsig chief executive Vijaye Raji taking the role of OpenAI’s CTO of Applications, and since May 2026 Amplitude has managed the Statsig brand and its customer relationships following that acquisition. No changes to Statsig plan pricing have been announced since Amplitude took over. The free tier continues to cover up to 1 million monthly tracked users with unlimited feature seats and core feature flagging and experimentation capabilities. The Pro plan starts at $150 a month for up to 1 million MTUs and 5 feature seats. Billing continues to meter monthly events — exposures, log events, ingested metrics and custom metrics — rather than seats, with Developer and Pro both including unlimited seats plus unlimited feature flag and config checks.
Frequently asked questions
How much does Statsig cost?
The free tier covers up to 1 million monthly tracked users with unlimited feature seats and core flagging and experimentation. Pro starts at $150 a month for up to 1 million MTUs and 5 feature seats. Billing meters events — exposures, log events, ingested metrics and custom metrics — rather than seats, with unlimited seats and unlimited flag checks on paid plans.
Who owns Statsig now?
OpenAI acquired Statsig for $1.1 billion, with Statsig’s CEO Vijaye Raji becoming OpenAI’s CTO of Applications. Since May 2026, Amplitude has managed the Statsig brand and its customer relationships. No plan pricing changes have been announced since that transition, but two ownership changes in about a year is a genuine consideration for any long-term commitment.
Does the ownership change affect Statsig customers?
Not in pricing terms so far — no plan changes have been announced since Amplitude took over brand and customer management in May 2026. What it does affect is predictability: the roadmap, support model and long-term pricing now depend on decisions a customer cannot see, and Amplitude competes in adjacent product analytics. Factor that into contract length rather than into whether to evaluate.
Is Statsig’s free tier really a million MTUs?
Yes, with unlimited feature seats and core feature flagging and experimentation included. For experimentation at that scale the comparison is stark: Optimizely‘s reported entry is around $36,000 a year. If you are an engineering team that has been priced out of experimentation, this is the tier that changes that.
Statsig or PostHog?
PostHog has the stronger overall position: a million free analytics events and a million free feature flag requests monthly, twelve products on one event stream, no platform fee, and stable independent ownership. Statsig is the more focused experimentation tool with deeper statistical tooling. If vendor stability matters to you, PostHog currently has the clearer story.
How does Statsig’s event metering work?
It charges for monthly metered events — exposures, log events, ingested metrics and custom metrics — rather than for seats. Developer and Pro both include unlimited seats and unlimited feature flag and config checks. The practical effect is that adding engineers to the platform costs nothing while running more experiments does, which is the correct incentive for a developer tool.
Should the ownership changes stop me buying Statsig?
Not on their own. The product is good, the free tier is exceptional and no pricing changes have followed the transition. But treat it as a reason to prefer shorter commitments, to keep your experiment data exportable, and to consider the warehouse-native option so analysis can run against data in your own environment — sensible precautions with any vendor whose custody has changed twice in a year.
Sources
- Vendr — Statsig software pricing and plans 2026
- Convert — Statsig moves from OpenAI to Amplitude
- eesel AI — OpenAI bought Statsig for $1.1B: what it means for AI
- PostHog — official pricing page
- Factors.ai — what is Heap Analytics: pricing, pros and cons 2026
Compiled from public sources; last verified 2026-09-17. Pricing is subject to change — verify with the vendor. Ratings reflect editorial opinion based on documented capabilities, published pricing, and aggregated user reviews. DigiJaws does not accept payment for review placement or rating.
Statsig Review (3.5/5): Pricing & Verdict (2026). DigiJaws, 2026. https://digijaws.com/reviews/statsig-review/