Skip to main content
TrustRadius
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.

Read more
Recent Reviews

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 …
Continue reading
Read all reviews

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 (95)
    9.3
    93%
  • Standard visitor segmentation (87)
    8.9
    89%
  • Test significance (87)
    8.5
    85%
  • Preview mode (85)
    8.0
    80%

Reviewer Pros & Cons

View all pros & cons

Video Reviews

1 video

Optimizely Web Experimentation Review from a Director of Partnerships
08:08
Return to navigation

Pricing

View all pricing
N/A
Unavailable

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

Would you like us to let the vendor know that you want pricing?

46 people also want pricing

Alternatives Pricing

What is Oracle Marketing?

Oracle CX Marketing (formerly Oracle Marketing Cloud) is a solution designed to enable marketers to plan and execute automated marketing campaigns via email, display search, video advertising, and mobile while delivering a personalized customer experience for their prospects.

What is Instapage?

Instapage, from AirSlate since the October 2023 acquisition, offers post-click automation to help digital advertisers create more relevant and impactful advertising, unifying the post-click stage of the advertising funnel. Instapage helps marketers to maximize conversions by creating,…

Return to navigation

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 8.6

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.

8.6
Avg 8.8

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 8.6
Return to navigation

Product Details

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.

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: 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.

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
Supported LanguagesEnglish

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).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews and Ratings

(495)

Attribute Ratings

Reviews

(1-25 of 178)
Companies can't remove reviews or game the system. Here's why
Fabien Caublot | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
ResellerIncentivized
  • Money saved not investing in feature/design initiatives showing insignificant effect
  • Increased conversions/revenue from implementing successful experiments
  • Increase in Leads / Sales / AOV for our clients etc..
  • Media efficiency
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • increased conversions/revenue from implementing successful experiments
  • time saved by not guessing and going back and forth with stakeholder
  • Used to collect click data while our GTM is down. Giving my team eyes on click data as a work around
  • able to push a winning test to 100% of users until devs can get to project, so fast implementation of a win
Score 10 out of 10
Vetted Review
ResellerIncentivized
  • So the ease of implementation. This can get up and start running with web experimentation within two to three weeks of signing a contract, two to three weeks it's up and running. So very short implementation time. The ROI is a very simple one where your current web traffic, your current conversion rate, average order value or average action value. And then you have that large number. With this you can understand, what does the average person see a 5% increase in overall revenue. So you can kind of back this into just a basic math of one plus two plus three equals four. And it's just really easy to understand. Anybody at any level in the organization can look at it and say, that makes sense. It's not we're going to put up a billboard, well what are we going to get for it? It's really a one-to-one understanding and very simple to understand. The ROI impact once you start running tests.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • I would say it's overall increasing revenue and conversion rate is what I've seen from my customers. They use the experimentation feature on the web to shorten up that funnel or make it more efficient for people to get through it faster with less friction.
  • Then I think the ability to run just more experiments. So greater level of experimentation and then increasing conversion rate by smoothing out that funnel.
Jason Tabert | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Optimizely Web Experimentation has helped us increase our experimentation program velocity
  • Powerful built-in reporting and analysis speeds time to insight
  • Client-side experimentation can be done outside of traditional release cycles
  • Flexible enough to be used across multiple lines of business with different KPIs and goals
  • The platform is easy to use up front but powerful enough to support your program as it matures
  • Integration with other tools like Contentsquare and Heap make deeper analysis easier
  • Raw export to data warehouse lets us join experiment data with other clickstream and behavioral analysis to generate cross-funnel insights and impacts on experiences outside of our Optimizely deployment footprint
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Positive - Starting an experimentation program through Optimizely Web Experimentation has helped changed PMM perspectives in planning out their digital initiatives
  • Positive - We are seeing small wins that easy to implement and have direct impact on our lead generation.
  • TBD on ROI - We are not at a level of digital maturity to see the impact of our experiments through to the point of sale
Drew Seman | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Customer retention: We've reduced subscription service client churn by 20%+ using optimized unsubscribe flows.
  • Risk mitigation: Testing into full site redesigns has saved clients millions of dollars.
  • Feature prioritization: Identifying what painted door changes add value has allowed developers to focus on changes that add hundreds of thousands or even millions to the bottom line.
Return to navigation