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Amplitude Feature Experimentation
Ditch the guesswork and scale innovation
About Amplitude Feature Experimentation
Amplitude Feature Experimentation is a product experimentation and A/B testing platform that integrates seamlessly with Amplitude's analytics suite. It enables product teams to design, launch, and analyze experiments using feature flags and targeted rollouts, all within the same platform where user behavioral data resides. The platform supports both client-side and server-side experiment deployment, with built-in statistical methods such as T-tests, multi-armed bandits, and CUPED. It offers self-service experimentation with guided UX, automatic data quality checks, and real-time results. By consolidating testing and analytics, it helps teams make data-driven decisions without tech debt. AiDOOS enhances deployment and adoption by providing managed services and expertise to set up, scale, and optimize experimentation programs, ensuring best practices are followed and teams can focus on innovation.
Challenges It Solves
- Product teams struggle to know which features truly drive user engagement and retention
- Lack of integration between analytics and experimentation tools leads to data silos and slow decision-making
- Engineering resources are often required to set up and run A/B tests, limiting experimentation velocity
- Teams find it difficult to determine statistical significance and avoid false positives
Use Cases
A/B Testing Product Features
Run A/B tests on new product features to measure impact on user engagement and conversion.
Feature Flag Management
Control feature rollouts with feature flags to safely release and test new functionality.
Personalized User Experiences
Deliver targeted experiences to specific user segments based on behavioral data.
Optimize Onboarding Flows
Experiment with different onboarding sequences to improve activation and retention.
Pricing
Custom pricing — built for your team
Amplitude Feature Experimentation pricing is tailored to your organisation's size, integrations, and requirements. AiDOOS generates your proposal instantly — scoped & ready in seconds.
Key Features
Ship new features with kill switches for safe rollouts
Design experiments with a step-by-step UX that follows best practices
Built-in support for T-tests, CUPED, multi-armed bandits, and sequential testing
Seamlessly connect experiment results to behavioral analytics and session replays
Roll out features to specific user segments using behavioral cohorts
Non-engineers can create and launch experiments without coding
What Reviewers Say
What works well
- Integrated analytics and experimentation on a single platform
- Easy-to-use self-service interface for non-technical users
- Advanced statistical methods like CUPED and multi-armed bandits
Common concerns
- Pricing can be expensive for high-volume users
- Some advanced features require the Enterprise plan
Reviews
No reviews yet for Amplitude Feature Experimentation
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Enterprise Readiness
Identity & Access
Data Security
SLA & Availability
Compliance & Portability
Integrations
200+ total appsAmplitude Analytics
Integration with Amplitude Analytics enables seamless data sharing between experimentation and product analytics.
Snowflake
Connect experimentation data to Snowflake for advanced analytics and reporting.
Segment
Use Segment to send user data into Amplitude Experiment for targeted feature rollouts.
Zendesk
Integrate support ticket data to understand impact of experiments on customer satisfaction.
Salesforce
Sync experiment results with Salesforce to correlate product changes with sales outcomes.
Jira
Link experiments to Jira issues for tracking feature development and testing.
Google Analytics 4
Import GA4 events into Amplitude Experiment for segmentation and targeting.
Governance & Compliance
EU AI Act
Classification: None
Data Processing Agreement
None DPA available
Sub-processors
Not disclosed
Right to Erasure
✗ Not supported
Change Notifications
None
NIST AI RMF
Not assessed
AiDOOS Managed Deployment
Deploy Amplitude Feature Experimentation in 72 hours
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Prerequisites
- Active Amplitude Analytics subscription
- Administrator access to Amplitude account
- SSO configuration details (if using)
- At least one SDK integrated into product
Configuration Options
- Experiment targeting rules
- Feature flag integration with CI/CD
- Data export destinations
- Role-based access controls
How Amplitude Feature Experimentation Compares
| Product | AI & Analytics | Ease of Use | Enterprise Features | Pricing | Integrations | Mobile Experience | Quick Setup | Customer Support | Rating | Price/mo |
|---|---|---|---|---|---|---|---|---|---|---|
|
A
Amplitude Feature Experimentation This product
|
Excellent | Good | Excellent | Fair | Good | Good | Good | Good | — | $Custom/user |
|
LD
LaunchDarkly
|
Fair | Excellent | Excellent | Fair | Good | Good | Excellent | Good | ★ None | $None/user |
|
OP
Optimizely
|
Good | Good | Good | Fair | Good | Good | Good | Good | ★ None | $None/user |
|
GO
Google Optimize
|
Fair | Excellent | Fair | Excellent | Good | Poor | Excellent | Fair | ★ None | $None/user |
A Virtual Delivery Center for Amplitude Feature Experimentation
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers Amplitude Feature Experimentation
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists