Amplitude Experiment
Amplitude Experiment enables product teams to run rigorous A/B tests and feature rollouts using the same behavioral data and user segments already defined in Amplitude Analytics, eliminating data silos between experimentation and analytics.
Last updated May 11, 2026 by the ATDb Editorial Team
- Industry
- Product Analytics & Experimentation
- Business Model
- SaaS
- Target Market
- Mid-Market, Enterprise
- Employee Count
- 1001-5000
- Funding
- $336M
- Revenue Range
- $200M-$250M
- Stock Symbol
- AMPL
- Parent Company
- Amplitude
- API Available
- Yes
Integrated experimentation platform within Amplitude's analytics suite, positioned as a natural extension for existing Amplitude Analytics customers
Amplitude Experiment is the experimentation and feature management product offered by Amplitude, the leading digital analytics platform. Launched as an integrated component of Amplitude's broader product suite, Experiment allows product teams, engineers, and growth teams to run A/B tests, multivariate experiments, and feature flag rollouts — all powered by Amplitude's behavioral analytics engine. This tight integration means teams can define experiment audiences based on real user behavior, analyze results using Amplitude's event-based data model, and make decisions without switching between disparate tools. Amplitude Experiment differentiates itself from standalone experimentation platforms by offering a unified workflow where experiment design, targeting, and analysis all live within the same data environment as a company's core product analytics. This eliminates the data reconciliation problems common when using separate analytics and experimentation vendors. The platform supports both client-side and server-side feature flagging, making it suitable for web, mobile, and backend experimentation use cases. It also offers local evaluation for low-latency flag resolution, which is critical for performance-sensitive applications. As a subsidiary product of Amplitude, Inc. (NASDAQ: AMPL), Amplitude Experiment benefits from the parent company's enterprise customer base, established data infrastructure, and ongoing investment in the analytics and experimentation space. It competes with dedicated experimentation platforms like Optimizely, LaunchDarkly, and Split.io, as well as analytics-adjacent tools like Statsig and GrowthBook. Its primary competitive advantage is the native integration with Amplitude Analytics, making it a compelling choice for organizations already invested in the Amplitude ecosystem.
Feature Flags
Server-side and client-side feature flagging with local and remote evaluation options for controlled rollouts and kill switches
A/B Testing
Experiment framework for running controlled A/B and multivariate tests with statistical significance analysis
Experiment Analysis
Native integration with Amplitude Analytics for behavioral cohort-based experiment analysis and metric tracking
Amplitude Experiment SDKs
Client and server SDKs for JavaScript, iOS, Android, Python, Go, Ruby, and more to integrate experiments into any application
Local Evaluation
Low-latency flag evaluation performed on the client or server without a network call, reducing latency for performance-critical use cases
Mutual Exclusion Groups
Experiment isolation controls to prevent interference between concurrent experiments