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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

Navattic
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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 Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(25)

Attribute Ratings

Reviews

(1-15 of 15)
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Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Allowing non-technical teams to be able to make controlled and speedy changes on the site.
  • Makes developers feel comfortable about experimentation.
  • Onboarding takes time because there is a steep learning curve.
  • The shift from the legacy version to the latest version required some changes in mindset.
  • The layouts of Optimizely Web and Optimizely Feature Experimentation are quite different, so it takes time to transfer from one to the other.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Integrated roll-out and A/B testing ability
  • Ability to personalize roll-outs based on other user traits
  • Measure the impact of releases
  • Better integration with web experimentation product
  • Integrate with Segment and other data sources for easier feature release measurement
  • More granular audience building / available traits
Score 3 out of 10
Vetted Review
Verified User
Incentivized
  • Fine grained controls of target audiences
  • Offers an API with support for multiple languages
  • Extremely confusing, complicated, and unintuitive webapp. It's hard to figure out if a feature flag is active and what it will evaluate to for a given user, organization, or audience. The app has many different toggles for enabling, disabling, and targeting a flag, and they don't follow a consistent design.
  • Slow and buggy login process
  • Difficult to use human-readable aliases for user IDs and organization IDs when defining audiences. We maintain spreadsheets to understand our Optimizely configurations
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Its ability to run A/B tests and multivariate experiments simultaneously allows us to identify the best-performing options quickly.
  • Optimizely blends into our analytics tools, giving us immediate feedback on how our experiments are performing. This tool helps us avoid interruptions. With this pairing, we can arrive at informed decisions quickly.
  • Additionally, feature toggles enable us to introduce new features or modifications to specific user groups, guaranteeing a smooth and controlled user experience. This tool helps us avoid interruptions.
  • Anyone new to A/B testing may struggle with the learning curve.
  • To give product teams more control over feature releases, we should improve how we target and segment audiences.
  • We've had some problems with the user interface, especially when setting up experiments.
Score 5 out of 10
Vetted Review
Verified User
Incentivized
  • Testing new layouts for conversion
  • Testing new features for user interaction
  • Tracking user engagement
  • Better documentation. It's very fragmented and hard to navigate.
  • More opinionated API. Multiple ways to get the same functionality, but with various degrees of documentation. For example, do you activate an experiment or do you use the user decision?
  • More examples for common patterns would be nice. For example, generation and storage of a user ID in a cookie.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • A/B Testing of features
  • Easy to add and develop on an app or web
  • Friendly customer support
  • The "flags" new feature needs more explanation
  • Ability to add more than 10 whitelisted users, this was available before, now "flags" disabled it
  • More detailed documentation
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • system flags
  • dynamic flags for each environment
  • dynamic flags for user
  • currently it doesn't seem to support any CRM or ERP system integration, it has a room for it
  • Optimizely has its own permission mechanism. If it supports our internal operation flow, it would be good
  • Our production environment has a number of domains such as EU, CA and USA. If Optimizely features support some domain logic for environment, it would be nice
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Allow for website changes otherwise dependent on code
  • Analytics of those change
  • Customer support
  • Ease of use
  • Initially training of program
  • Ability to customize certain aspects of the website were limited
  • Expensive for smaller organizations
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