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Optimizely Feature Experimentation

Optimizely Feature Experimentation

Overview

What is Optimizely Feature Experimentation?

Optimizely Feature Experimentation combines experimentation and feature flagging 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

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

Reviewer Pros & Cons

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Pricing

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What is Optimizely Feature Experimentation?

Optimizely Feature Experimentation combines experimentation and feature flagging 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 allows product teams to run experiments anywhere in the technology stack. Users can deploy code-behind feature flags, experiment with A/B tests, and rollout or rollback features. This functionality is available with no performance impact via SDKs.

Optimizely Feature Experimentation Screenshots

Screenshot of Optimizely Feature Experimentation's audience targeting by segment (pre-defined segments, custom segments, real time segments) via the native customer data platform functionality or by connecting existing third-party CDP and synching the segments that have already been created into its Audience Builder.Screenshot of Real-time segmentsScreenshot of Segments defined from native and third party CDP.Screenshot of Feature flagging and rollouts to targeted audiences. Optimizely Feature Experimentation can be used to rollout a feature to a defined audience using a flag. This audience could be a set of beta testers, a geo location, or a pre-defined customer group such as VIP's or super users.Screenshot of Targeted deliveriesScreenshot of Rules engine

Optimizely Feature Experimentation Videos

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
Supported LanguagesEnglish

Frequently Asked Questions

Optimizely Feature Experimentation combines experimentation and feature flagging 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

(24)

Attribute Ratings

Reviews

(1-11 of 11)
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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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