---
title: Feature Experiment
description: "Test, analyze, and ship feature flags and experiments at scale across web, mobile, and backend."
product: experiment
last_updated: 2026-01-08
token_estimate: 1377
---
# Feature Experiment

> For AI agents: a documentation index is available at [/docs/llms.txt](/docs/llms.txt). Append `.md` to any page URL for markdown, or send `Accept: text/markdown`.

## Plan availability

# of Active Experiments varies by plan. Some features need a higher plan or an add-on. Go to [Amplitude pricing](https://amplitude.com/pricing) for plan details.

| Plan | # of Active Experiments |
| --- | --- |
| Free | 1 |
| Plus | 1 |
| Growth | 2 (add-on: Unlimited) |
| Enterprise | 2 (add-on: Unlimited) |

Account-level bucketing, Account-level targeting, Approval Workflow, Experiment Templates, Flag dependencies, Group-level experimentation, Holdout groups, Multi-armed Bandits, Mutual exclusions groups, Sticky bucketing, Stratified Sampling, and Winsorization are available as an add-on on the Growth and Enterprise plans.

Experiment Results chart and Flag-level access control are available on the Growth and Enterprise plans.

Formula metrics and Target by custom cohorts are available on the Plus, Growth, and Enterprise plans.

A/B/n testing, Bonferroni Correction, Contentful Integration, CUPED, Custom Exposure Attribution, Data guardrails - debug and notify teams about critical data quality errors

🮖 Sample ratio mismatch (SRM)
🮖 Variant jumping
🮖 Exposure events without assignment events
🮖 Suspiciously high uplift detection
🮖 Changepoint detection
🮖 Outlier detection, Duration estimator, Experiment Tagging, Feature Flag insights (charts that are available when you open FF UI), ID Resolution: Managing user identity for known and anonymous users, JSON payloads, Local Evaluation, Local Evaluation Proxy, Long-running experiments, Primary and secondary metrics, Re-start experiments, Real-time monitoring (Data quality checks), Remote Evaluation, Sequential testing, Slack notifications for Data guardrails, T-Tests, Target by any user property, Target by out of the box cohorts, Testers to ensure experiment is set-up correctly, Unlimited feature flags, and Version History are available on all plans.

_Availability reflects the latest Amplitude plans. If your organization is on an older plan, your access may differ. Check your plan under [Plans & Billing in your organization settings](/docs/admin/account-management/account-settings#organizational-settings), or contact your Amplitude account representative._

Test, analyze, and ship product changes with confidence. Amplitude Experiment unites feature flags and experimentation so you can release features safely and measure their impact across web, mobile, and backend.

**Outcome:** [Roll out features without the risk](https://amplitude.com/docs/feature-experiment/workflow/feature-flag-rollouts)

Release behind a flag, ramp to the audience you choose, and turn it off the moment something looks wrong.

**Outcome:** [Prove which change wins](https://amplitude.com/docs/feature-experiment/experiment-quick-start)

Run A/B, multivariate, and bandit tests so the data, not the loudest opinion, makes the call.

**Outcome:** [Test the website without an engineer](https://amplitude.com/docs/feature-experiment/feature-vs-web-experimentation)

Edit pages with a visual editor and ship the winning variant without a code deploy.

**Outcome:** [Run experiments anywhere users are](https://amplitude.com/docs/sdks/experiment-sdks)

Use Experiment SDKs to flag and test features across web, mobile, and backend.

**Outcome:** [Automate your release workflow](https://amplitude.com/docs/apis/experiment/experiment-management-api)

Manage flags, experiments, and deployments from CI, scripts, or your own tools with the Experiment APIs.

**Outcome:** [See Experiment in action](https://app.amplitude.com/experiment/demo/470648/config/69916/activity)

Click through a hands-on demo before you instrument your own product.

## Ship with feature flags

Use flags to control release scope, target audiences, and rollback paths before you measure impact.

- [Create a feature flag or experiment](https://amplitude.com/docs/feature-experiment/workflow/create) to define the change you want to ship.
- [Configure variants](https://amplitude.com/docs/feature-experiment/workflow/configure) to set treatment values, payloads, and rollout behavior.
- [Define the audience](https://amplitude.com/docs/feature-experiment/workflow/define-audience) to target users by properties, cohorts, or segments.
- [Manage rollouts](https://amplitude.com/docs/feature-experiment/workflow/feature-flag-rollouts) to release gradually and reduce launch risk.

## Run trustworthy experiments

Build each experiment around clear goals, clean exposure tracking, and a decision workflow.

- [Define experiment goals](https://amplitude.com/docs/feature-experiment/workflow/define-goals) to choose primary and secondary metrics.
- [Track exposure](https://amplitude.com/docs/feature-experiment/track-exposure) so analysis uses the users who encountered the variant.
- [Estimate experiment duration](https://amplitude.com/docs/feature-experiment/workflow/experiment-estimate-duration) to set expectations before launch.
- [Make a decision](https://amplitude.com/docs/feature-experiment/workflow/make-decision-experiment) to ship, iterate, or stop the experiment.

### [Getting Started with Amplitude Experiment](https://academy.amplitude.com/path/getting-started-with-amplitude-experiment-learning-path)

Earn a badge when you learn the Amplitude Experiment workflow and understand how get set up for experiments that produce trustworthy results.