Compare platforms for running experiments, from simple split tests to full-stack experimentation.
Experience optimization platform with the best-in-class visual editor for A/B testing, personalization, and feature management.
Privacy-focused A/B testing platform offering enterprise features at transparent, accessible pricing.
AI-driven experimentation and personalization platform with prompt-based experiment creation and HIPAA compliance.
Warehouse-native experimentation platform with rigorous statistics, now part of Datadog.
Google's free A/B testing tool that was sunset in September 2023 — included here for historical reference.
Enterprise personalization and testing engine with AI-powered automation within Adobe Experience Cloud.
Experimentation suite built into Amplitude's product analytics platform with feature flags and targeting.
AI-powered A/B testing and decision engine blending experimentation with machine learning optimization.
Affordable marketing automation platform with built-in A/B testing, heatmaps, and session replay from Freshworks.
For beginners, tools like Google Optimize alternatives (such as VWO or Optimizely) offer visual editors that let you set up tests without writing code. Look for platforms with guided workflows and built-in statistical engines.
Pricing ranges widely — from free tiers with limited traffic (e.g., Google Optimize legacy) to enterprise platforms costing $1,000–$10,000+/month. Most tools price based on monthly tracked users or sessions.
Key features include a visual editor, robust statistical engine, audience targeting, integration with your analytics stack, and support for server-side experiments if you need them.