Statsig's acquisition by Amplitude is like getting a race car without a driver.

In May 2026, Amplitude took over the Statsig platform. The engineers who built it are staying at OpenAI. Anyone signing with Statsig now is getting a product that its original team no longer maintains. 

At Optimizely, experimentation is our entire business. Our engineering team is intact and we pair testing with personalization, CMS, and commerce on an enterprise platform where your success is the only priority.

What just happened to Statsig, again?

 

OpenAI acquired Statsig in September 2025 for $1.1 billion and brought the entire team in-house. Vijaye Raji became CTO of Applications.

In May 2026, Amplitude announced it was taking over the Statsig brand, platform, and customer base. The team stayed at OpenAI.

What it means for you

Amplitude owns code it did not write

When the product breaks, the people who understand it work somewhere else.

The integration is unfinished

Amplitude tried building its own warehouse-native experimentation before this and walked away from it. Now it owns someone else's version without the people who built it.

Frozen roadmap

Amplitude has to absorb a product they didn't build. Expect roadmap pivots and disruption while they figure out how the pieces fit together.

Split support resources and pricing shifts

Users face longer support response times and contract renegotiations as Amplitude tries to fund the acquisition.

Your platform shouldn't be someone else's integration project

Amplitude is still figuring out how to manage a product it did not build. Your experimentation program sits behind that work.

At Optimizely, instead of retrofitting analytics onto an experimentation tool, we built warehouse-native architecture from the ground up with experimentation, analytics, and AI designed to work together as one platform. Our team shipped 500+ improvements last year. AI features ship every month.

 

What you get is an
AI-powered optimization platform

Independent and stable

Clear roadmap, not subject to acquisition shifts.

Enterprise-grade

Experimentation, personalization, content, commerce, and analytics in one place.

Flexible and friendly

Built for product, marketing, engineering, and data teams.

WTF do you do now?

Are you willing to risk your entire experimentation program on a company whose leadership has just been realigned?

Key reasons to choose Optimizely

Capability

Optimizely

Amplitude + Statsig

Zero flicker, no slowdown

The most performant way to deliver variations with zero latency with Edge Delivery

Performance limitations can cause slower load times

Experimentation analytics

Connect user behavior to business outcomes directly in your warehouse, so you can finally prove what's working and accelerate growth

Warehouse-native but requires technical expertise; limited self-service capabilities for non-engineering teams

Modern editor

Our WYSIWYG editor is compatible with the latest JS frameworks. 1,000+ customers running millions of experiments over a decade

Editor reported as clunky and difficult to use, with frequent errors and limited features beyond text

Innovation at the core

500+ features released last year. New AI features and agents are added every month.

Amplitude is now maintaining two experimentation platforms with the team that built one of them at OpenAI; innovation pace depends on integration work that is still ongoing

AI

Agents for variation generation, ideation, planning, and results summaries. Stop waiting for devs.

Analytics-first AI strategy: five analytics agents, a single web testing agent, & an unfinished acquisition to fill the gap

Pricing

Trusted long-term provider with consistent investment in enterprise success

With two experimentation products to maintain and a major integration underway, pricing is one of many open questions for customers

Plus theVirtual Teammatesyou needed, already working.

Optimizely Virtual Teammates are provisioned members of your CRO team: generating roadmaps, configuring tests, and analyzing rules — 24/7, no prompting needed.

Let's clear things up.