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A/B Testing Tools Directory — Optimise with Data-Driven Experiments

Compare the best A/B testing tools for web experiments, conversion optimisation, and feature flagging. Enterprise and developer-friendly options reviewed.

Overview

A/B testing removes guesswork from product decisions. Instead of debating which design converts better, you test both with real users and let the data decide. This directory compares tools that make experimentation easy, from visual editors to developer-first feature flag platforms.

Selection Criteria

Do you need a visual editor for marketing-led tests or code-based experimentation?Is feature flagging and gradual rollout important to your release process?How much traffic do you have — is statistical significance achievable?Does the tool integrate with your existing analytics and product stack?

Directory

PostHog

Free tier (1M events/month), Growth usage-based4.6/5

Open-source experimentation platform with A/B tests, multivariate tests, and feature flags. Integrates with product analytics for deep experiment analysis.

Developer-FirstWebsite

Optimizely

Custom pricing (contact sales)4.4/5

Enterprise experimentation platform with visual editor, server-side testing, and advanced statistics. The gold standard for large-scale experimentation programmes.

EnterpriseWebsite

LaunchDarkly

Developer from $10/month, Pro from $20/seat/month4.5/5

Feature flag management platform with built-in experimentation. Roll out features gradually, target specific user segments, and measure impact.

Feature FlagsWebsite

VWO

Starter from $99/month4.4/5

Visual website optimiser with A/B testing, heatmaps, session recordings, and surveys. Good balance of power and ease of use for marketing teams.

Visual TestingWebsite

Statsig

Free tier (50M events/month), Pro from $150/month4.5/5

Modern experimentation platform with feature gates, experiments, and auto-tune. Generous free tier and strong integration with analytics pipelines.

Modern PlatformWebsite

Read also

  • Analytics Platforms
  • SEO Tools
  • A/B Testing Glossary

Frequently Asked Questions

What is the minimum traffic needed for A/B testing?

You typically need at least 1,000 visitors per variation per week for reliable results. Low-traffic sites should focus on bigger changes that produce larger effect sizes.

Should developers or marketers run A/B tests?

Both. Visual editors (VWO, Optimizely) let marketers test copy and layout changes. Code-based tools (PostHog, LaunchDarkly) let developers test feature variations and backend changes.

How do A/B tests fit into a development workflow?

Experiments should be tracked as tickets. In Refront, you can create experiment tasks, track time spent on implementation, and link results to the project for informed product decisions.

Ready to get started?

Try Refront for free and discover how AI automates your workflow.

Try for freeView pricing

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