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Head-to-head · A/B Testing Tools

Optimizely Experimentation vs Experimently

  • Updated Oct 2026
  • Both researched from official sources
  • 6 checks side by side
Higher score Optimizely Experimentation #1 in A/B Testing Tools 9.3/10 Free plan Free plan✓ 5 of 5 features Visit Optimizely
Experimently #17 in A/B Testing Tools 7.6/10 Free plan Free plan✓ 5 of 5 features Visit Experimently

Optimizely Experimentation leads on 0 checks, Experimently on 0, and 6 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreOptimizely Experimentation · 9.3/10
  • Free planboth

Optimizely Experimentation scores higher on our rubric for a/b testing tools: 9.3 against 7.6 out of 10; our editors rank them #1 and #17.

Optimizely Experimentation is the better fit for mature organizations running complex experiments. Experimently is the better fit for teams wanting a free full-stack platform.

  • Optimizely Experimentation fits best

    Mature organizations running complex experiments

  • Experimently fits best

    Teams wanting a free full-stack platform

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Side by side

Feature Optimizely Experimentation 9.3/10 Visit ↗ Experimently 7.6/10 Visit ↗
At a glance
Editor score 9.3 7.6
Ranking #1 in A/B Testing Tools #17 in A/B Testing Tools
Best for Mature organizations running complex experiments Teams wanting a free full-stack platform
Pricing model Free plan + paid Free
Starting price — Free
Free plan ✓ ✓
Free trial — —
Deployment Cloud Self-hosted
Platforms Web, iOS, Android Web, iOS, Android
Support Tickets, Community, Docs Email, Docs
Compliance SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS SOC 2, ISO 27001, SSO/SAML
Integrations 3 integrations 14 integrations
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Optimizely Experimentation 5/5 · Experimently 5/5
Visual editor ✓ ✓
Server-side testing ✓ ✓
Mobile SDK ✓ ✓
Audience targeting ✓ ✓
Feature flags ✓ ✓
Specs
Test types A/B testing, multi-page testing, feature testing, server-side testing, multivariate testing, multi-armed bandit testing A/B testing, multivariate testing, sequential testing, CUPED, multi-armed bandits, Bayesian testing, split URL testing, LLM/model evaluation
Supported platforms Web_and_mobile Web_and_mobile
Our review
Pros
  • Supports web, mobile, API, and server-side experimentation
  • Combines visual testing, feature flags, targeting, and personalization
  • Includes multivariate, funnel, redirect, and bandit testing options
  • Unlimited A/B experiments in the Free Preview
  • Advanced methods including Bayesian, CUPED, sequential, and bandit testing
  • Web, mobile, API, warehouse, and self-hosted platform support
Cons
  • Pricing requires contacting sales for an individually packaged plan
  • SDK-based server-side testing may require engineering involvement
  • Its broad feature set may exceed the needs of simple web-test teams
  • Self-hosting requires deployment on the customer's AWS account
  • No separate paid tiers are presented
  • Compliance messaging differs between official product pages
Our verdict

Optimizely Experimentation is designed for marketing, product, and engineering teams running experiments across websites, mobile applications, APIs, and other connected digital channels. It covers client-side web testing through a…

Read the review →

Experimently is a self-hosted experimentation platform for product and engineering teams running tests across web, mobile, server, and data environments. Its Free Preview includes unlimited A/B experiments, feature flags with staged…

Read the review →
  1. Optimizely ExperimentationA/B Testing Tools 9.3Free plan
  2. ExperimentlyA/B Testing Tools 7.6Free plan

Strengths and trade-offs

  • Optimizely Experimentation — where it wins

    • Supports web, mobile, API, and server-side experimentation
    • Combines visual testing, feature flags, targeting, and personalization
    • Includes multivariate, funnel, redirect, and bandit testing options

    Where it doesn't

    • Pricing requires contacting sales for an individually packaged plan
    • SDK-based server-side testing may require engineering involvement
    • Its broad feature set may exceed the needs of simple web-test teams

  • Experimently — where it wins

    • Unlimited A/B experiments in the Free Preview
    • Advanced methods including Bayesian, CUPED, sequential, and bandit testing
    • Web, mobile, API, warehouse, and self-hosted platform support

    Where it doesn't

    • Self-hosting requires deployment on the customer's AWS account
    • No separate paid tiers are presented
    • Compliance messaging differs between official product pages

More comparisons

All A/B testing tools comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update