Amplitude Experiment
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.
Measure product changes
Focus on the most impactful metrics, informed by user behavioral analytics
Deliver targeted experiments
Leverage our feature flags, or bring your own. Either way, deliver the right experiment to the right users at the right time
Analyze causal data
Generate true causal data with our robust statistical engine, leaving nothing to chance.
Analytics and experimentation—All in one
The only product experimentation platform born from analytics and customer behavior
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.



Plan
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.
Deliver
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.
Analyze
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.
Experiment Results
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.
A/B tests
Learn what matters to users, what drives important behaviors, and what’s limiting growth
Feature flags
Configure experiences remotely, manage release risk, and deploy faster.
Behavioral data
Target customers based on actual or predicted behavior without extra engineering work
Identity resolution
Serve users the same experience regardless of platform or auth state.
Payloads
Pass variables into your product to remotely manage experiences without deploying new code.
Proactive analytics
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.
Loyalty Programs
Target your most valuable users to test loyalty experiences that increase LTV.
Design Look and Feel
Push in color palette configurations to test new designs like a Night Mode.
Navigation Experiences
Experiment with navigation order and options for new users versus power users.
Form Optimization
Test adjustments to form setup based on acquisition channels and sources.
Social Experiences
Determine if shared experiences increase engagement and which segments value it the most.
CTAs by Segment
Try different CTAs for premium plans for new users versus existing subscribers.
Discount Optimization
Test different offers by channel, product usage or predicted behavior.
Funnel Optimization
Remotely reorder or remove steps in a funnel to experiment with improvements to conversion.
Propensity-driven Experiences
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?