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Optimizely Web Experimentation

Score8.7 out of 10

580 Reviews and Ratings

What is Optimizely Web Experimentation?

Whether launching a first test or scaling a sophisticated experimentation program, Optimizely Web Experimentation aims to deliver the insights needed to craft high-performing digital experiences that drive engagement, increase conversions, and accelerate growth.

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Screenshot of AI-Powered Experimentation with Opal:

- Instant Test Ideas: Generates high-quality A/B test ideas based on any goals and audience insights.
- Smarter Experimentation: The AI can suggest impactful variations, reducing guesswork and increasing test velocity.
- More Than Just Ideas: From hypothesis generation to analyzing results, Opal helps optimize every stage of the experimentation process.
Screenshot of the Web Experimentation Visual Editor :

- Tweak experiments using the visual editor or dive into custom code when needed.
- Modify elements, update styling, or add dynamic behaviors.
- Ensure perfect variations while keeping control over every detail of the experiment.
Screenshot of AI Content Suggestions:

- Generates copy variations to supercharge experiments.
- The AI suggests high-impact messaging for tests when hovering over a field.
- AI-powered content suggestions help skip the brainstorming process.
Screenshot of Advanced Audience Targeting:

- Delivers personalized experiences by targeting users based on behaviors, attributes, and real-time conditions.
- Defines precise audience segments using first-party data, geolocation, and device type.
- Can test and optimize for different audience groups to maximize impact and engagement.
Screenshot of Custom Templates in the Visual Editor:

- Offers pre-built templates for common test setups.
- Standardized variations and maintains brand integrity with reusable templates.
- Templates can be customized visually or tweak them with code for full flexibility.
Screenshot of the Web Experimentation Results Page:

- Data visualizations help interpret experiment performance.
- Displays which variations are winning with built-in statistical significance calculations.
- Results can be filtered by audience segments, events, and conversions to uncover key trends.

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Screenshot of AI-Powered Experimentation with Opal: - Instant Test Ideas: Generates high-quality A/B test ideas based on any goals and audience insights. - Smarter Experimentation: The AI can suggest impactful variations, reducing guesswork and increasing test velocity. - More Than Just Ideas: From hypothesis generation to analyzing results, Opal helps optimize every stage of the experimentation process.

Top Performing Features

  • Heatmap tool

    A tool that shows which elements of the page generate the most visitor engagement.

    Category average: 8.4

  • Traffic allocation control

    Ability to set what percentage of website traffic receives specific test variants in order to roll out code only to a subset of site visitors.

    Category average: 8.4

  • a/b experiment testing

    Create and test variations of a website, changing site elements such as headlines, CTAs, images, page design and layout, technical SEO changes, and new feature additions and collect statistical results of each variation’s conversion rates or other metrics.

    Category average: 8.6

Areas for Improvement

  • Dynamic experiment activation

    Ability to activate an experiment after the page’s initial load based on a set of conditions (e.g. if the visitor takes certain actions).

    Category average: 6.9

  • Server-side tests

    Ability to run server-side tests (e.g. A/B, A/B/n, multivariate, and split URL tests) to test out more complex design changes, roll out features to specific audience segments, or split site traffic between different site versions.

    Category average: 7.8

  • Page surveys

    Create on-page surveys and select which segment of users are asked survey questions using defined audience segments (e.g. new vs. returning users, mobile users, desktop users, etc).

    Category average: 7

Who Buys & Uses Optimizely Web Experimentation