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A/B Testing Tools

Experimentation and optimization testing

14 tools availableUpdated regularlyExpert reviewed

What is A/B Testing?

A/B testing allows you to scientifically test different versions of your product to see which performs better. It's the gold standard for making data-driven decisions and optimizing user experiences.

🧪 Scientific Approach

Move beyond opinions and hunches. A/B testing provides statistical confidence in your product decisions, reducing risk and maximizing impact.

Testing Opportunities

UI/UX Elements

  • • Button colors and copy
  • • Page layouts and flows
  • • Form designs
  • • Navigation structures

Business Logic

  • • Pricing strategies
  • • Feature rollouts
  • • Recommendation algorithms
  • • Onboarding flows

Success Framework

1

Hypothesis Formation

Create clear, testable hypotheses with predicted outcomes

2

Test Design

Plan sample sizes, duration, and success metrics

3

Statistical Analysis

Ensure results reach statistical significance before acting

14 tools found
Event Tracking
Session Replay
Funnel Analytics
User Segmentation
Retention Analytics
A/B Testing
Revenue Analytics
AI Insights
User Feedback
PostHog
Open-source product analytics with feature flags and experimentation

Free for first 1 million events; Cloud hosted from $450/month

Best for Teams looking for an open-source analytics solution

Optimizely
Experimentation and A/B testing platform for product optimization

Custom pricing (contact sales)

Best for Teams focused on experimentation and optimization

VWO
A/B testing and conversion optimization platform

Plans range from $353/month to $1,423/month; Free starter plan available

Best for Companies focused on conversion rate optimization

Convert
Cost-efficient A/B testing platform for growing teams

Plans start at $699/month; 15-day free trial available

Best for Mid-market companies seeking enterprise features at lower cost

Kameleoon
Unified web and feature experimentation platform

Contact for pricing; Annual license reportedly starts around $30,000/year

Best for Teams needing unified experimentation across technical and marketing functions

Eppo
Warehouse-native experimentation platform with statistical rigor

Contact for pricing

Best for Data-driven teams focused on statistical reliability

Statsig
Feature management and experimentation platform with statistical rigor

Free tier available, Pro plans start at $150/month, Enterprise pricing available

Best for Engineering teams at high-growth companies who need reliable feature rollouts and statistically rigorous experimentation with enterprise security and scale

AB Tasty
All-in-one experimentation and personalization platform for digital optimization

Plans start at $1,000/month, Enterprise packages available, Free trial offered

Best for Marketing teams and product managers who want to optimize conversion rates and deliver personalized experiences without heavy technical requirements