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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 Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(38)

Attribute Ratings

Reviews

(1-12 of 12)
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Dimos Papadopoulos | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Overall, Optimizely Feature Experimentation is an industry leader in terms of experimentation across web and mobile. For apps I would say amplitude does slightly a better job as it is tailored to that niche.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Optimizely Feature Experimentation is better for building more complex experiments than Optimizely Web. However, Optimizely Web is much easier to kickstart your experimentation program with as the learning curve is much lower, and dedicated developer resources are not always necessary (marketers can build experiments quickly with Optimizely Web without developers' help).
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Feature experimentation is much more robust and allows more granular control over the decisions you want to make. While Optimizely Feature Experimentation is nice and can be delivered via Optimizely Feature Experimentation's UI, its still not ideal because its brittle and can cause underlying performance issues in the code.
Ray Law | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Google Tag Manager was less flexible for the business and required the Google Analytics tool for analysis and metric tracking. Optimizely allows the building of use cases. Optimizely provides real-time data and metrics that are easier to use. GTM provides tracking capabilities on marketing campaigns, however, Google Analytics could potentially store user personal data.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Before we chose Optimizely, we looked at other options like Google Optimize. However, we decided on Optimizely because it excels at A/B testing, even compared to other A/B testing tools that only have basic capabilities. Since we were working on a controlled release project, we were especially interested in feature flags for controlled releases. Optimizely was the right choice for us because it met our need for real-time adaptability.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We used Firebase remote config as well to try to test different behaviorus on the same screen, using boolean flags to determine which one to show, but it was too cumbersone and difficult so we pivoted to only use optimizely as it was much better suited for that,
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Highly recommend Optimizely as it’s relatively cost effective, easy to use and their customer service team is very helpful and responsive. Also has robust features which encompasses what Crazy Egg did for us before (heatmap). Also much cheaper than the Adobe suite of products.
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