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Amplitude Feature Experimentation

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User industry
  1. Education and training
  2. Media and communications
  3. Retail and wholesale

What is Amplitude Feature Experimentation

Amplitude Feature Experimentation is a feature flagging and experimentation product used to roll out product changes, run controlled experiments, and measure impact on user behavior. It targets product, engineering, and growth teams that need to manage releases across web and mobile apps while evaluating outcomes with metrics. The product combines feature management (flags, rollouts, targeting) with experimentation workflows and integrates with Amplitude’s analytics for measurement and segmentation.

pros

Integrated analytics and experimentation

The product connects feature rollouts and experiments to Amplitude’s event-based analytics, enabling teams to define metrics and analyze results in the same environment. This reduces the need to export data to separate analysis tools for common experimentation workflows. It also supports using behavioral cohorts/segments for targeting and analysis when Amplitude Analytics is in place.

Feature flags for controlled rollout

It provides feature flags to gate functionality and progressively roll out changes to subsets of users. Teams can use targeting rules to limit exposure by user attributes or segments, supporting staged releases and risk reduction. This is useful for coordinating engineering releases with product measurement and operational controls.

Supports web and mobile use cases

The product is designed for experimentation and feature delivery in digital products, including mobile app scenarios where controlled rollouts are common. It supports use cases such as testing onboarding flows, paywalls, and UI changes while monitoring downstream conversion or retention metrics. This aligns with teams optimizing both web and mobile experiences.

cons

Best fit within Amplitude stack

Organizations that do not already use Amplitude Analytics may need additional implementation work to realize the full value of integrated measurement and cohorts. Some experimentation and reporting workflows depend on having clean event instrumentation and consistent identity management. This can increase time-to-value compared with simpler, standalone testing setups.

Engineering involvement required

Feature flagging and experiment setup typically require SDK integration and disciplined release processes. Teams without strong engineering support may find it harder to operationalize experiments at scale compared with tools focused primarily on visual, no-code web testing. Ongoing governance is also needed to avoid flag debt and ensure consistent experiment configuration.

Not a full personalization suite

While it supports targeting and experiment-driven variations, it is not a complete customer engagement platform with built-in messaging orchestration across channels. Advanced campaign management, email/SMS/push journey tooling, and content management may require additional systems. As a result, it may cover product-led personalization better than broader marketing-led personalization needs.

Plan & Pricing

Plan Price Key features & notes
Starter Free 10K MTUs, up to 10M events; out-of-the-box analytics and templates; Session Replay; unlimited feature flags; Web Experimentation; AI Feedback; unlimited sources & destinations; access to community and academy. (Feature Experimentation / full experimentation product is not listed on Starter.)
Plus $49/mo (pay annually, starting price) Up to 300K MTUs or 25M events; unlimited product analytics; behavioral cohorts; feature tagging; segmentation for Web Experimentation; custom audiences & syncs; online customer support. (Feature Experimentation is not listed on Plus.)
Growth Custom (contact sales) Custom MTU/event volume; advanced behavioral analysis; causal insights & monitoring; Feature Experimentation (listed as included); code editor for Web Experimentation; real-time streaming & syncs; predictive audiences; customer support.
Enterprise Custom (contact sales) Custom MTU/event volume; cross-product analysis; advanced data & permission controls; mutual exclusion groups; multi-armed bandit experiments; predictive audiences; assigned account manager.

Seller details

Amplitude, Inc.
San Francisco, CA, USA
2012
Public
https://amplitude.com
https://x.com/amplitude
https://www.linkedin.com/company/amplitude-analytics/

Tools by Amplitude, Inc.

Amplitude Feature Experimentation
Amplitude Web Experimentation
Amplitude Analytics
Amplitude Session Replay
Amplitude Activation
Amplitude Guides & Surveys

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