i.
Roadmap independence
Will the platform's future be shaped by your needs, or by absorption into a larger analytics suite? Stand-alone roadmaps move faster than merged ones.
Looking for a Statsig alternative? Your timing makes sense.
Statsig was acquired by OpenAI for $1.1B in September 2025. Eight months later, the brand and customers were handed to Amplitude. If you're rethinking where to take your experimentation program next — here are the five alternatives worth comparing, ranked honestly.
Two transitions in eight months
The platform you bought has changed hands twice since September. Here's what actually happened.
SEPT 2025
OpenAI acquires Statsig — $1.1B all-stock
Vijaye Raji, Statsig's founder, becomes OpenAI's CTO of Applications. The platform was always a key piece of OpenAI's internal stack — now it's owned outright.
MAY 2026
Amplitude takes the brand and customers
OpenAI keeps the Statsig technology for internal product experimentation. Amplitude takes on the customer base, support, and roadmap — adding ~$16M in incremental ARR.
NEXT 12 MONTHS
"A more integrated roadmap" — Amplitude's words
Amplitude has stated they'll build "a more integrated roadmap for the future of the Amplitude and Statsig platforms together." Translation: the product you signed up for is being merged into something else.
If you came to Statsig for founder-led product velocity, the founder is now running ChatGPT engineering. If you came for warehouse-native experimentation, that's now part of Amplitude's roadmap. The five alternatives worth a hard look: RunPivot, Eppo, PostHog, LaunchDarkly, and VWO. Below, ranked.
The evaluation criteria
What you actually need in the replacement
Before we rank the alternatives, the right frame matters. Statsig was excellent at developer-led experimentation infrastructure. If you're switching, here's what to evaluate honestly — your answers will determine which alternative fits.
ii.
Who actually runs the test
Statsig's UX leaned developer-first. If your marketing team is the bottleneck, you need a tool they can drive themselves — not one that still requires engineering tickets.
iii.
AI as a builder, not a wrapper
Most "AI" features today are dashboards on top of analytics. You want AI that generates the variant, picks what to test, and rolls the winner out — not just summarises results.
iv.
Pricing transparency
Statsig was loved for its pricing curve. As pricing rolls into Amplitude's enterprise model, expect that to change. Predictable, mid-market pricing is the test.
v.
Time to first test
If switching costs are 4-6 weeks and you don't run a test until week 7, you've lost a quarter. Look for tools that go from URL to live experiment same-day.
vi.
Migration path
Can you bring your historical experiment data, feature flags, and metric definitions across? Some platforms make this trivial. Some make it punitive.
The five alternatives, ranked
Honest assessments — strengths and gaps included
No platform is perfect, including ours. Here's how each one actually compares for teams leaving Statsig — what they're good at, where they fall short, and who they're really for.
01 · Our pick · For teams of all sizes
RunPivot
AI-native experimentation. Built for the marketer, not the engineer.
Where Statsig optimised for engineering teams running infrastructure-grade experiments, RunPivot optimises for the marketer who shouldn't have to file a Jira ticket to test a hero headline. Drop a URL, the AI generates testable variants, smart traffic allocation surfaces the winner, and auto-rollout ships it. No tag manager. No SDK install. No developer dependency.
Strengths
- + AI generates variants - no copywriter or designer required to start
- + From URL to live test in minutes, not sprints
- + Brand-aware variant generation respects your design system
- + Independent product roadmap - no acquirer to please
- + Mid-market pricing built for teams without a CRO department
Honest gaps
- - Smaller integrations catalogue than Statsig (growing fast)
- - SOC 2 certification in progress, not yet complete
- - Newer brand with fewer enterprise reference customers
- - Warehouse-native deployment not currently offered
Free tier: Yes - full feature access · Paid from: Founding-member pricing · Setup time: Same day · Best fit: Marketing & growth teams
Switch from Statsig to RunPivot 02
Eppo
Eppo is the most direct philosophical successor to what Statsig was — warehouse-native, statistically rigorous, beloved by data scientists. If your experimentation program is owned by a centralised data team, Eppo is genuinely a strong fit. The catch is the cost: Eppo's contracts run from roughly $15K to $87K annually, with most customers around $42K.
Free tier: No · Paid from: ~$15K/yr · Setup time: 2-4 weeks · Best fit: Data science teams
03
PostHog
PostHog has the most generous free tier in the category — 1M events monthly — and bundles experimentation with product analytics, session replay, and feature flags. It's a strong choice for engineering-led teams that already love open-source tools. The trade-off is the same one Statsig had: it's built by engineers, for engineers.
Free tier: 1M events/mo · Paid from: Usage-based · Setup time: 1-2 weeks · Best fit: Engineering-led teams
04
LaunchDarkly
If you came to Statsig primarily for feature flagging and progressive rollout, LaunchDarkly is the most established alternative in that lane. Its experimentation features have grown but still feel secondary to the flag management story. Best for engineering orgs that want feature management first and experimentation second.
Free tier: Yes - limited · Paid from: Custom enterprise · Setup time: 3-6 weeks · Best fit: Engineering platforms
05
VWO
VWO has been in the A/B testing market for over a decade and offers the visual-editor approach that marketers understand. If your team is moving from Statsig because engineering dependency was too high, VWO solves that problem. It just doesn't solve the next one — variant ideation, hypothesis generation, and rollout decisions are still largely on you.
Free tier: Limited · Paid from: ~$314/mo testing · Setup time: 3-7 days · Best fit: Traditional CRO teams
Want to see what AI-native actually looks like?
Drop in your URL. RunPivot reads your page, identifies the highest-impact tests, generates the variants, and runs the experiment — no developer required.
Try it freeMigration plan
Five steps from Statsig to RunPivot
Most teams complete the move in 5-10 working days. Here's the playbook our migration team uses with customers coming from Statsig.
i.
Audit your active Statsig experiments and flags
Export your current experiment configurations, feature gate states, and metric definitions. Most teams find 30-50% of their flags are stale and can be retired in the move — a free clean-up. We provide a Statsig export template to make this trivial.
ii.
Connect your URL - that's the install
RunPivot needs no SDK, no tag manager rewrite, no DevOps ticket. Drop your URL in, paste a single script tag if you want client-side personalisation, and you're operational. Most customers go live in under an hour.
iii.
Mirror your active experiments for one week
Run RunPivot in parallel with Statsig for 5-7 days. We'll show you the same lifts, with the same statistical significance, against your existing tests. This is the trust-building step.
iv.
Migrate metric definitions and historical baselines
Your conversion funnels, segments, and primary metrics carry across. We'll connect to your data warehouse if you want pre-test baselines, or run them directly from Pivot's analytics layer. No re-instrumentation required.
v.
Sunset Statsig - and let the AI start ideating
Once parity is established, switch your traffic over and turn off the Statsig SDK. From here, the Pivot AI generates new test ideas, ranks them by potential impact, and rolls winners out automatically.
The acquisition story changes the question — fundamentally.
The honest read on Statsig's situation: the team that earned your trust is now building experimentation infrastructure for ChatGPT. The customer-facing business sits inside a public company under margin pressure (Amplitude's gross margin dropped two points last quarter, with explicit guidance about Statsig integration costs ahead). And the roadmap will increasingly be shaped by what serves Amplitude's analytics suite — not what serves your experimentation program in isolation.
That's not a criticism of Statsig or Amplitude. It's the natural arc of a successful acquisition. But it's also why the right question isn't "which platform is most like Statsig was?" The right question is: "which platform is built for how experimentation actually works in 2026?"
That's a different category. And it's the category RunPivot was built for from day one.
FAQ
Common questions from teams leaving Statsig
Stop waiting. Start experimenting.
The fastest path from Statsig to actually shipping more tests this quarter — without the migration becoming the project itself.