We use patented tech to capture over 1 million data points from the tests run by the world’s top brands.
We detect when brands run new tests, analyze them, and tag each one with metadata. Our analysts and AI use patterns across similar brands to provide guidance that wins 7X more often than traditional A/B testing.
Why it works
Every time a company we track runs a test, our engine gets smarter.
We’ve captured over 1M data points from real tests. Data is broken down by page type, brand, mobile/desktop, element, geography, and more. We run statistical analysis and train AI to continuously discover what actually works.
How our customers use exclusive test data
Strategic Guidance
Our researchers tear down your key pages with data so you get impact from redesigns or ongoing optimization.
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Test Simulator
Drop in a URL, a mockup, or a rough idea. We run simulated tests against real results and tell you what is likely to win before you build it.
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Track Competitors
Our engine tracks the changes your competitors make to their sites and tells you whether it is a good move, with the evidence behind it.
Explore alertsHow we see A/B tests from any brand
Our patented technology crawls the web to identify split tests based on public data
It analyzes the tests it finds, and follows them to see what version the brand favors
Our research team validates each test, adds metadata, and includes it in our database
For all stakeholders in the optimization process
Growth Teams
Home in on higher-converting website copy, layouts, and more by learning what wins for leading brands.
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Product Teams
Prioritize your backlog based on what is likely to win and use data to drive buy-in across teams.
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Designers
Get inspiration from what wins in tests to validate your assumptions and decisions as you design.
Book a demo →Trends & strategy
Some of what we’re learning
Strategy The CMO’s Guide to A/B Testing in 2026
How to build an experimentation system when AI can generate 100 ideas before your team can validate one.
Strategy We interviewed 22 top website teams (here is what we learned)
Twelve months of conversations with the teams that own the highest traffic pages in software.
Strategy The Problem With Social Proof
Customer logos lost in most tests. So did quote testimonials and review badges.
Strategy LLMs give terrible website advice
They are trained on opinions about websites, not on what actually won.
Teardowns A Deep Dive Website Analysis of Clay
A B2B SaaS brand run against our database of tens of thousands of tests.
Teardowns How Glean got a 70% lift on their demo CTA
Daniel Henderson on what has been working on an enterprise search site.
Frequently Asked Questions
Where do you get the data?
Our patented engine uses public data to identify and analyze split tests. It is a lot like Google. It crawls the web and uses powerful and patented algorithms to make meaning from the data it finds. Our engine finds which tests are running, how many variants they have, and ultimately what wins and loses.
Does it matter what technology a company uses to run experiments?
Nope. We provide the insights on what to implement, and the customer can execute those recommendations wherever their site is managed.
How do you know what won?
We look at what version the brand favors and keeps live on their site. A team of analysts also reviews and validates every test before publishing it. Our analysts add considerable metadata about each test so we can run meta-analysis across tests to validate findings.
Do you have tests deep in registration and subscription flows?
Nope. We work only on public-facing pages that do not require a login.
Do I need to install a tracking pixel on my site to use you?
Nope. No pixel or tracking scripts are used.