Article as Homepage Toolkit
  • Intro
    • Why the Homepage to Article Page
    • What We Aim to Achieve
  • Audience
    • Surveying your Audience
    • Exploring Surveying Tools
    • Data Analysis: Making Insights
    • Case Study: SLT
  • Wireframing
    • Why Wireframing
    • Wireframing Tools & Resources
    • Case Study: SLT
  • A/B Testing
    • How to A/B Test
    • A/B Testing Tools
    • Case Study: SLT
  • Revenue Strategies
    • Ads within Article
    • Donation Asks
    • Subscriptions
  • Case Study: SLT
  • RJI Articles
    • Articles Written for RJI
  • Stay Connected
    • Contact Alex
    • Subscribe
Powered by GitBook
On this page
  • Industry Recommended Free A/B Test Tools
  • Industry Recommended Paid A/B Test Tools
  1. A/B Testing

A/B Testing Tools

You will find a curated list of free reputable A/B testing tools recommended by industry experts

PreviousHow to A/B TestNextCase Study: SLT

Last updated 3 months ago

Industry Recommended Free A/B Test Tools

was a free A/B testing and personalization tool that many businesses used, but Google officially sunsetted it on September 30, 2023. It is no longer available for use. However, below are a few industry recommended A/B Testing tools.

Industry Recommended Paid A/B Test Tools

However, if your newsroom has the budget and capability to explore paid options, the below are a few industry recommended paid tools.

Firebase A/B Testing (By Google) – Ideal for app developers using Firebase.

  • Integrates with Google Analytics.

  • Supports remote feature configuration.

Google Ads Experiments – Optimizes Google Ads campaigns.

  • Tests variations in ad copy, bidding strategies, and targeting.

  • Provides built-in performance tracking.

Google Ad Manager Experiments – Helps publishers optimize ad placements.

  • Tests different ad configurations.

  • Analyzes revenue impact.

GrowthBook – Free and open-source A/B testing tool.

  • Supports client-side and server-side testing.

  • Flexible integration with any tech stack.

PostHog – Self-hosted and great for product experimentation.

  • Includes feature flags for controlled rollouts.

  • Provides user behavior analytics.

Unleash – Open-source feature flagging with experimentation capabilities.

  • Allows gradual rollouts and real-time updates.

  • Enables A/B testing without redeploying code.

AB Tasty – Focuses on user experience and conversion optimization.

  • Offers AI-driven personalization.

  • Provides real-time testing and analytics.

Optimizely – A leading enterprise-level A/B testing platform.

  • Supports full-stack experimentation.

  • Enables advanced audience targeting.

VWO – A cost-effective alternative to Optimizely.

  • Includes a visual editor for setting up tests.

  • Offers built-in heatmaps for user behavior insights.

Google Optimize