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Optimizely Feature Experimentation

Optimizely Feature Experimentation

Overview

What is Optimizely Feature Experimentation?

Optimizely Feature Experimentation combines experimentation, feature flagging and built for purpose collaboration features into one platform.

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Recent Reviews

Optimizely Review

7 out of 10
November 27, 2023
Incentivized
We use Optimizely Feature Experimentation to test and optimize user experiences on our digital platforms. It addresses issues like user …
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Awesomeness

10 out of 10
October 12, 2023
Incentivized
Create meaningful experiments and personalization that allow us to have an impact on the business and customers. We try to create …
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Awards

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Reviewer Pros & Cons

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Pricing

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What is Optimizely Feature Experimentation?

Optimizely Feature Experimentation combines experimentation, feature flagging and built for purpose collaboration features into one platform.

Entry-level set up fee?

  • Setup fee required
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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Product Demos

Jewel - Feature Experimentation

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Product Details

What is Optimizely Feature Experimentation?

Optimizely Feature Experimentation combines experimentation and feature flagging into one platform with the addition of integrated, built for purpose collaboration tools. It is used to optimize user experiences across digital channels and make every release high quality by quickly and safely validating code and features with real users through the entire software development cycle.

Optimizely Feature Experimentation Features

  • Supported: Testing & Experimentation
  • Supported: Feature Flags
  • Supported: Collaboration

Optimizely Feature Experimentation Screenshots

Screenshot of AI Variable suggestions: AI helps to develop higher quality experiments. Optimizely’s Opal suggests content variations in experiments, and helps to increase test velocity  and improve experiment qualityScreenshot of Integrations: display of the available integrations in-app.Screenshot of Reporting used to share insights, quantify experimentation program performance using KPIs like velocity and conclusive rate across experimentation projects, and to drill down into the charts and figures to see an aggregate list of experiments. Results can be exported into a CSV or Excel file, and KPIs can be segmented using project filters, experiment type filters, and date rangesScreenshot of Collaboration: Centralizes tracking tasks in the design, build, and launch of an experiment to ensure experiments are launched on time . Includes calendar, timeline, and board views in customizable views that can be saved to share with other stakeholdersScreenshot of Scheduling: Users can schedule a Flag or Rule to toggle on/off,  traffic allocation percentages, and achieve faster experimentation velocity and smoother progressive rolloutsScreenshot of Metrics filtering: Dynamic event properties to filter through events. Dynamic events provide better insights for experimenters who can explore metrics in depth for more impactful decisions

Optimizely Feature Experimentation Video

Optimizely Feature Experimentation Competitors

Optimizely Feature Experimentation Technical Details

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

Frequently Asked Questions

Optimizely Feature Experimentation combines experimentation, feature flagging and built for purpose collaboration features into one platform.

LaunchDarkly, AB Tasty, and VWO are common alternatives for Optimizely Feature Experimentation.

The most common users of Optimizely Feature Experimentation are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(38)

Attribute Ratings

Reviews

(1-20 of 20)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Time to market increases, as code can be merged even though a feature is not yet supposed to be activated
  • Better risk management, as feature rollouts can easily be rolled back
  • Canary testing, by opening up a feature to a small audience
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • We have been using Optimizely to test on our plans pages - to see what copy drove higher conversion. Our winning variant had a 3% lift over control in plans purchased.
  • We have been using Optimizely to test what resonates with members best when creating a listing - to see what copy drove higher conversion to completed listings. Our winning variant had a 5% lift over control in total published listings.
Dimos Papadopoulos | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • We have improved various metrics throughout the course of our experimentation program with Optimizely and therefore sharing numbers is tricky. Essentially we only implement versions of the product that perform the best in terms of CVR, revenue/visitor, ATV, average order value, average basket size and so forth dependent on the north star we are trying to move with each release.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Experimentation is key to figuring out the impact of changes made on-site.
  • Experimentation is very helpful with pricing tests and other backend tests.
  • Before running an experiment, many factors need to be evaluated, such as conflicting experiments, audience, user profile service, etc. This requires a considerable amount of time.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Optimizely has helped us increase our website's conversion rate by 20%. This has resulted in more revenue with the same level of traffic.
  • Optimizely's feature flagging capability has lowered the risk associated with releasing new features, leading to a 15% decrease in development costs.
  • The integration of Optimizely's real-time analytics has allowed us to make decisions based on data, getting rid of guesswork and errors.
Score 5 out of 10
Vetted Review
Verified User
Incentivized
  • money saved not investing in feature/design initiatives showing insignificant effect
  • increased conversions/revenue from implementing successful experiments
  • negative: performance was severely impacted by using the React SDK for SSR
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • I'm an engineer, so I can't speak of any ROIs, but Optimizely has definitely improved our operational cost
  • I believe the turndown time for a flag release/deployment has been reduced dramatically
  • A/B testing is a click away, it doesn't require any hard-coded changes
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