Make Better Product Decisions Faster
The product experimentation platform built to bring product, engineering, and data teams together to plan, deliver, track, and analyze product changes.
Focus on the most impactful metrics, informed by user behavioral analytics.
Leverage our feature flags, or bring your own. Either way, deliver the right experiment to the right users at the right time.
Generate true causal data with our robust statistical engine, leaving nothing to chance.
Your entire experimentation lifecycle in one place
Making better product decisions is easier when you can power, run, analyze, and scale experiments on the same platform.
Start from a hypothesis grounded in existing behavioral analytics to decide what you want to change. Plan for the impact you expect to have, by setting measurable goals aligned to specific metrics.
Leverage our feature delivery system to deliver your experiment to the right target cohort at the right time. Or leverage Experiment Results—bring your own feature flags and send us the A/B data.
Be confident in your product experimentation results. Our stats engine looks for statistical significance so you know when the results are from the changes you made, and not due to chance.
Provide your product teams with a self-service way to plan, track, and analyze their experiments.
Leverage your own feature flags to generate the A/B data, we’ll bring the rest.
Product experimentation is a differentiator
Everything you need in one place
Determine and deliver the best customer experience without tacking on a siloed product experimentation tool.
Learn what matters to users, what drives important behaviors, and what’s limiting growth.
Configure experiences remotely, manage release risk, and deploy faster.
Target customers based on actual or predicted behavior without extra engineering work.
Serve users the same experience regardless of platform or auth state.
Pass variables into your product to remotely manage experiences without deploying new code.
Surface ripple effects in behavior that occur beyond the bounds of tests.
Scale experimentation across your teams
Open new possibilities for what you can test and what you can learn.
Target your most valuable users to test loyalty experiences that increase LTV.
Push in color palette configurations to test new designs like a Night Mode.
Experiment with navigation order and options for new users versus power users.
Test adjustments to form setup based on acquisition channels and sources.
Determine if shared experiences increase engagement and which segments value it the most.
Try different CTAs for premium plans for new users versus existing subscribers.
Test different offers by channel, product usage or predicted behavior.
Remotely reorder or remove steps in a funnel to experiment with improvements to conversion.
Use predictions to test changes in the UI based users’ likelihood to use a feature or make a purchase.
Why digital teams needed a new system.
A new "Big Idea" report from Constellation research unpacks the forces and nuances that have led to a new way of working and a mission-critical system for digital businesses.
- How have customers and products changed forever?
- Why measure behaviors over experiences?
- What infrastructure is used by the top digital products?
- Why are BI and marketing clouds not the answer?
Learn how to level-up your experimentation program by testing what matters.
See the thinking that went into Experiment and how it will change the way you run A/B tests.