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Optimizely Web Experimentation

Optimizely Web Experimentation

Overview

What is Optimizely Web Experimentation?

Optimizely Web Experimentation empowers teams to conduct experiments (without having to rely on developer resources) in order to test various user interactions, make website changes backed by data, and personalize customer experiences.

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Recent Reviews

TrustRadius Insights

Ease of Use: Users consistently praise the platform for its elegant and user-friendly design, which enhances productivity across various …
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Optimizely Web Experimentation Review

8 out of 10
June 22, 2024
We use the Optimizely Web Experimentation software to facilitate our A/B testing on the front end of our website. This allows us to freely …
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Not value for money

5 out of 10
April 24, 2024
Incentivized
We use Optimizely Web Experimentation to launch different experiments in our site. We have different type of audiences, coming from …
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Optimizely Review

8 out of 10
April 23, 2024
Incentivized
We use Optimizely for A/B testing and soft rollouts of changes. This allows us to test and make changes without needing to use engineering …
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Good platform

8 out of 10
April 23, 2024
Incentivized
I have used Optimizely in order to conduct simple AB tests and more complex MVT test to improve an ecommerce website. We had issue …
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Data has no opinions

8 out of 10
April 16, 2024
Incentivized
It's simple for us, we want to make data driven decisions and Optimizely Web Experimentation gives us the tools and data we need to …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 33 features
  • a/b experiment testing (105)
    9.3
    93%
  • Standard visitor segmentation (97)
    8.9
    89%
  • Test significance (96)
    8.5
    85%
  • Preview mode (94)
    8.0
    80%

Reviewer Pros & Cons

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Video Reviews

1 video

Optimizely Web Experimentation Review from a Director of Partnerships
08:08
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Pricing

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What is Optimizely Web Experimentation?

Optimizely Web Experimentation empowers teams to conduct experiments (without having to rely on developer resources) in order to test various user interactions, make website changes backed by data, and personalize customer experiences.

Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttps://www.optimizely.com/plans/

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Features

Testing and Experimentation

These features enable companies to plan, set up, and execute different types of tests (e.g. A/B, A/B/n, multivariate, split URL tests).

8
Avg 8.3

Audience Segmentation & Targeting

A set of tools used for website optimization experiments (e.g. A/B, A/B/n, funnel, split URL, multivariate tests) that can help users segment their audience in to different groups for the purpose of exposing specific audiences to tests or personalization efforts.

8.7
Avg 8.7

Results and Analysis

Tools that allow users to evaluate the results of website optimization tests (e.g. A/B, A/B/n, multivariate, and split URL tests), or view visitor interaction with webpages and specific site elements.

8.3
Avg 8.5
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Product Details

What is Optimizely Web Experimentation?

Optimizely Web Experimentation empowers marketers to conduct fast experiments and personalization campaigns without relying heavily on technical resources. Marketers can test various user interactions, make website changes backed by data, deliver personalized customer experiences, and do it all from edge networks.

Optimizely provides a single workspace for experimentation collaborators to have control and visibility across their experiments — from setting up experiment components to interpreting test results — ultimately to improve velocity and collaboration, and elevate performance.

Optimizely Web Experimentation Features

Testing and Experimentation Features

  • Supported: a/b experiment testing
  • Supported: Split URL testing
  • Supported: Multivariate testing
  • Supported: Multi-page/funnel testing
  • Supported: Cross-browser testing
  • Supported: Mobile app testing
  • Supported: Test significance
  • Supported: Visual / WYSIWYG editor
  • Supported: Advanced code editor
  • Supported: Preview mode
  • Supported: Test duration calculator
  • Supported: Experiment scheduler
  • Supported: Experiment workflow and approval
  • Supported: Dynamic experiment activation
  • Supported: Client-side tests
  • Supported: Server-side tests
  • Supported: Mutually exclusive tests

Audience Segmentation & Targeting Features

  • Supported: Standard visitor segmentation
  • Supported: Behavioral visitor segmentation
  • Supported: Traffic allocation control
  • Supported: Website personalization

Results and Analysis Features

  • Supported: Form fill analysis
  • Supported: Goal tracking
  • Supported: Test reporting
  • Supported: Results segmentation
  • Supported: CSV export

Platform Integration Features Features

  • Supported: API
  • Supported: Web analytics integration
  • Supported: Content Management System Integration
  • Supported: Integration with CRM or DMP software

Optimizely Web Experimentation Screenshots

Screenshot of the visual editor, used to make changes to the appearance and layout of a website.Screenshot of the results dashboard that displays experiment results.Screenshot of the integrations page, where integrations can be enabled.Screenshot of Advanced Audience Targeting: Custom Real-Time Segments provide customers with the ability to create rapidly-updating segments which can be used as audiences for testing or personalization. These segments can be based on profile data, omni-channel behaviors, and AI-based observations.Screenshot of AI Content Suggestions: AI-powered suggestions in the Visual Editor accelerate ideation.Screenshot of Extensions for Edge: reusable elements minimize developer dependency when launching multiple tests with the same element.

Optimizely Web Experimentation Video

Optimizely Web Experimentation Competitors

Optimizely Web Experimentation Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Optimizely Web Experimentation Downloadables

Frequently Asked Questions

Optimizely Web Experimentation empowers teams to conduct experiments (without having to rely on developer resources) in order to test various user interactions, make website changes backed by data, and personalize customer experiences.

AB Tasty, VWO, and Adobe Target are common alternatives for Optimizely Web Experimentation.

Reviewers rate Traffic allocation control highest, with a score of 9.4.

The most common users of Optimizely Web Experimentation are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(520)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Ease of Use: Users consistently praise the platform for its elegant and user-friendly design, which enhances productivity across various tasks such as A/B testing.

Reporting: The robust reporting capabilities, multi-account support, and advanced settings have been highlighted to be key strengths provided by the tool by reviewers who value detailed results engine provided by the platform.

Streamlining: Additionally, users commend the intuitive WYSIWYG editor for simplifying editing processes and aiding in thorough live and post-test analysis to streamline experimentation workflows. The ease of experiment setup with metrics tracking features further adds to the platform's appeal and has provided a quick streamlining experience.

Slow User Interface: Users have reported that the user interface can be sluggish, impacting their overall experience negatively. Some find the platform's navigation confusing, leading to inefficiencies. The WYSIWYG editor is described as clunky, hindering quick and effective changes, affecting user productivity.

Steep Learning Curve: Non-technical users may face usability barriers on the platform, needing improvements for easier use without technical expertise. Having a longer learning curve period hinders by spending more time getting to know the product rather than getting work done.

Limitations: Additionally, users desire more a la carte feature availability rather than being restricted by tier-locked features.

Attribute Ratings

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