Skip to content
~/reflective_data

services / ab-testing / amplitude-experiment

Amplitude Experiment setup and audits.

We implement Amplitude Experiment alongside your analytics, so tests and product data tell one story.

✦ Ready for the AI era. Experiment on AI-powered features with Amplitude data as the source of truth.

schedule-consultationget-quote

trusted by data teams at

NextEra Energy Invesco Adorama Adlibris StubHub Educative camino/financial

✓ Enterprise-ready. Already trusted by multiple Fortune 100 companies.

what we do

Amplitude Experiment, from first test to advanced program

setup

Setup from scratch

  • Experiment and feature flag setup
  • SDK integration and exposure tracking
  • Metrics aligned with Amplitude Analytics
  • Your first trustworthy experiments
advanced

Advanced experiments & feature flags

  • Advanced experiments and targeting
  • Feature flags and rollouts
  • Server-side and client-side tests
  • Guardrails and holdouts
audit

Audits of existing setups

  • Exposure tracking and metric integrity
  • Flag and experiment hygiene
  • Statistics and decision rules
  • Governance
integration

Data infrastructure integration

  • Amplitude Analytics integration
  • Warehouse sync
  • BI alignment
  • Results in your stack
rd audit — amplitude-experiment
rd audit --amplitude-experiment

✔ exposures tracked
✔ metrics aligned
! stale flags
! targeting overlapping
✗ exposure missing on server-side tests

1 critical · 2 warnings · 2 passed

// illustrative

in practice

What working with Amplitude Experiment looks like

how-it-works

How it works

  • Flags and experiments share Amplitude's behavioural cohorts and event data
  • Remote and local evaluation trade latency against flexibility, so we choose per use case
  • Variance reduction and sequential testing help get to decisions sooner
  • Product analytics and experiments sit together, so a result links directly to behaviour
problems-we-fix

Problems we fix most often

  • Exposure events not tracked consistently
  • Cohort definitions that differ between analysis and targeting
  • Experiments with no primary metric
  • Flags that never get cleaned up

where it fits / Amplitude Experiment suits teams already using Amplitude for product analytics. We make sure the tracking plan, flags and experiments work as one system.

faq

Frequently asked questions

Why run experiments in Amplitude Experiment?

Running tests next to your product analytics keeps metrics and exposures in one place. We set it up so experiment and behaviour data tell one consistent story.

Do you also set up Amplitude Analytics?

Yes. We implement and audit Amplitude Analytics too. See Amplitude implementation.

Can you set up Amplitude Experiment from scratch?

Yes. We handle setup, SDK integration, metrics and your first trustworthy experiments: experiment and feature flag setup, SDK integration and exposure tracking, metrics aligned with Amplitude Analytics.

Can you audit our existing Amplitude Experiment program?

Yes. An audit covers: exposure tracking and metric integrity, flag and experiment hygiene, statistics and decision rules, governance. You get prioritised recommendations.

Do you run advanced experiments and feature flags in Amplitude Experiment?

Yes: advanced experiments and targeting, feature flags and rollouts, server-side and client-side tests, guardrails and holdouts.

Can you connect Amplitude Experiment to our warehouse and analytics?

Yes. We integrate Amplitude Experiment with your data stack: amplitude Analytics integration, warehouse sync, BI alignment, results in your stack.

Is Amplitude Experiment the right tool for us?

We are vendor-neutral and work with almost every experimentation tool, including GrowthBook, Statsig, Eppo, Optimizely, VWO, Convert, AB Tasty, Kameleoon and Amplitude Experiment. We recommend what fits your team, scale and budget.

Can you help us migrate from Amplitude Experiment to another tool?

Yes. We plan the migration, move experiments and metrics, and run both tools in parallel until you trust the results.

How much does it cost?

Pricing is tailored to your scope. Get a quote or schedule a consultation and we will give you a clear estimate.

related

More in A/B testing & experimentation

growthbook

GrowthBook

Our specialty: warehouse-native experiments and flags.

learn more →

statsig

Statsig

Feature gates, experiments and metrics, end to end.

learn more →

eppo

Eppo

Rigorous, warehouse-native experimentation.

learn more →

optimizely

Optimizely

Web, feature and full-stack experimentation programs.

learn more →

vwo

VWO

Fast, statistically sound VWO testing.

learn more →

convert

Convert

Privacy-minded testing with clean integrations.

learn more →

abtasty

AB Tasty

Client-side tests, feature flags and rollouts.

learn more →

kameleoon

Kameleoon

Hybrid web and feature experimentation.

learn more →

← all a/b testing & experimentation services   all services →

how we work

From first call to running system

step-01

01 /

Discover

We learn your goals, stack and constraints.

step-02

02 /

Plan

Audit findings and a clear, prioritised plan.

step-03

03 /

Build

Implementation by engineers, reviewed with your team.

step-04

04 /

Run

Hand over, or keep us on to support it.

get-started.sh

Tell us what you need. We'll scope it.

Pricing is tailored to your sources, volume and the parts of the platform you use. Request a demo or book a call with the team.

request-demo schedule-consultation