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Brief
Amplitude Experiment

Amplitude Experiment

Product Analytics & ExperimentationProduct· part of Amplitudeamplitude.com

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 Jun 23, 2026 by the ATDb Editorial Team

Founded
2020
HQ
San Francisco, California, United States
Parent
Connections
12

At a glance

Employees
1001-5000
Funding
$336M
Revenue
$200M-$250M
Stock
AMPL
11integrations1corporate family

About

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.

Business model

SaaS

Target market

Mid-Market, Enterprise

What they offer

  • 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

Key features

Native integration with Amplitude Analytics for unified dataServer-side and client-side feature flaggingLocal evaluation for low-latency flag resolutionBehavioral cohort-based experiment targetingStatistical significance and sequential testing supportMutual exclusion and holdout groupsMulti-armed bandit experimentationRole-based access controls for experiment governance

Use cases

A/B testing new product features before full rolloutGradual feature rollouts with percentage-based targetingPersonalization experiments based on user behavioral segmentsInfrastructure changes tested via server-side flagsGrowth experiment programs for conversion rate optimizationKill switch management for risky feature deployments

Customer segments

Product teams at mid-market and enterprise SaaS companiesEngineering teams managing feature releasesGrowth and marketing teams running conversion experimentsMobile app developersExisting Amplitude Analytics customers

Tech & specs

Technology stack

Amplitude Analytics data infrastructureREST APIJavaScript/TypeScript SDKsiOS (Swift/Objective-C) SDKsAndroid (Kotlin/Java) SDKsPython SDKGo SDKRuby SDKJVM SDK

Security & compliance

SOC 2 Type IIGDPRCCPAHIPAA (available on enterprise plans)ISO 27001

Deployment

Cloud

API

Yes

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