Amplitude Experiment
SubsidiaryEnables product teams to run experiments and test features with deep integration to behavioral analytics, allowing for data-driven product decisions based on comprehensive user insights.
Last updated Feb 18, 2026
- Industry
- Product Analytics and Experimentation
- Business Model
- SaaS
- Target Market
- Enterprise and Mid-Market
- Employee Count
- 501-1000
- Funding
- $336M
- Revenue Range
- $200M-$250M
- Stock Symbol
- AMPL
- Parent Company
- Amplitude
- API Available
- Yes
Market Position
Leading product analytics platform with integrated experimentation capabilities
Overview
Amplitude Experiment is a feature experimentation and A/B testing platform that is part of Amplitude's broader Digital Analytics Platform. It enables product teams to run controlled experiments, test new features, and make data-driven decisions about product development. The platform is tightly integrated with Amplitude Analytics, allowing teams to leverage behavioral data and user segmentation for more sophisticated experimentation. Amplitude Experiment competes in the product experimentation space rather than traditional AdTech, focusing on helping digital product teams optimize user experiences, feature rollouts, and product decisions. The platform provides capabilities for feature flagging, multivariate testing, and progressive rollouts, with real-time results analysis powered by Amplitude's analytics engine. As part of Amplitude's suite, it serves companies looking to implement continuous experimentation practices within their product development workflows.
Products & Features
Feature Flags
Control feature releases and rollouts with dynamic feature flagging capabilities
A/B Testing
Run controlled experiments to test product changes and features
Multivariate Testing
Test multiple variables simultaneously to optimize product experiences
Progressive Rollouts
Gradually release features to user segments with controlled rollout percentages
Real-time Results
Access experiment results in real-time powered by Amplitude Analytics
Mutual Exclusion
Prevent experiment interference by ensuring users are in only one experiment at a time
Key Features
Native integration with Amplitude AnalyticsReal-time experiment analysisAdvanced user segmentationFeature flag managementStatistical significance calculationMulti-armed bandit optimizationServer-side and client-side SDKsExperiment scheduling and automation
Use Cases
Feature validation before full releaseProduct optimization and conversion improvementUser experience testingPricing and packaging experimentsOnboarding flow optimizationProgressive feature rolloutsRisk mitigation for major product changes
Customer Segments
SaaS companiesE-commerce platformsMobile app developersDigital product teamsB2C technology companiesMedia and entertainment platforms