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Optimizely Feature Experimentation

By Optimizely

4.3 out of 5 stars

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Optimizely Feature Experimentation Reviews & Product Details

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Value at a Glance

Averages based on real user reviews.

Time to Implement

3 months

Return on Investment

17 months

Optimizely Feature Experimentation Integrations

(1)
Integration information sourced from real user reviews.

Optimizely Feature Experimentation Media

Optimizely Feature Experimentation Demo - Feature Flag Setup: Run flexible A/B and multi-armed bandit tests.
- Set up a single feature flag to test multiple variations and experiment types - Enable targeted deliveries and rollouts for more precise experimentation - Roll back changes quickly when needed to ensure experiment accuracy and reduce risks - Increase testing flexibility with seamless control...
Optimizely Feature Experimentation Demo - Audience Setup: Target specific user segments for personalized experiments.
- Easily create and customize audiences based on user attributes - Refine audience segments to ensure the right users are included in your tests - Enhance experiment relevance by setting specific conditions for user groups
Optimizely Feature Experimentation Demo - Experiment Results: Analyze and optimize your experimentation outcomes.
- View detailed experiment results, including key metrics like conversion rates and statistical significance - Compare variations side-by-side to identify winning treatments - Use advanced filters to segment and drill down into specific audience or test data
Optimizely Feature Experimentation Demo - Program Overview: Gain insights into your experimentation program’s performance.
- Get a comprehensive view of your entire experimentation program’s status and progress - Monitor key performance metrics like test velocity, success rates, and overall impact - Evaluate the impact of experiments with easy-to-read visualizations and reporting tools - Track the performance of y...
Optimizely Feature Experimentation Demo - AI Variable Suggestions: Enhance your experimentation with AI-driven insights.
- Generate multiple content variations with AI to speed up experiment design - Improve test quality by exploring high-performing content suggestions - Increase experimentation velocity and achieve better outcomes with AI-powered optimization
Optimizely Feature Experimentation Demo - Schedule Changes: Streamline your experimentation with scheduled adjustments.
- Set specific times to toggle flags or rules on/off, ensuring precise control - Schedule traffic allocation percentages for smooth experiment rollouts - Increase test velocity and confidence by automating progressive changes
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Optimizely Feature Experimentation Reviews (116)

Reviews

Optimizely Feature Experimentation Reviews (116)

4.3
116 reviews

Pros & Cons

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Verified User in Electrical/Electronic Manufacturing
AE
Enterprise (> 1000 emp.)
"Optimizely full stack has enabled true democratisation of experimentation across our org."
What do you like best about Optimizely Feature Experimentation?

Optimizely full-stack enables us to empower our engineering functions to own their experiments, aligning them closer to customer metrics and helping to articulate the value of what they do. Review collected by and hosted on G2.com.

What do you dislike about Optimizely Feature Experimentation?

Optimizely full stack doesnt come with some of the bells and whistles features that you get with client side. The setup is more complicated, and Optimizely doesn't give you out of the box metrics, you have to calibrate and align everything yourself. Review collected by and hosted on G2.com.

Response from Emma Davis of Optimizely Feature Experimentation

Hi There,

Thank you for your review! Please share any feedback you may have with your customer success manager or message us at reviews@optimizely.com. We continuously strive to improve user experience and your insights help us in doing so.

Verified User in Computer Software
AC
Enterprise (> 1000 emp.)
"Extremely Powerful"
What do you like best about Optimizely Feature Experimentation?

Optimizely Full Stack is extremely powerful for experimenting and A/B testing. As a developer, it provides a full experimentation framework for our product. It's highly customizable (since almost everything is done in code), and it offers detailed insight into how our customers are interacting with the product. With Optimizely Full Stack, I've been able to increase conversion rate, identify pain points in our product, reduce friction, and create a better UX for our customers. It's simply a necessary tool at this point. We use it every single day, and we can't live without it. Review collected by and hosted on G2.com.

What do you dislike about Optimizely Feature Experimentation?

The only thing I dislike about Optimizely Full Stack is its web interface. Sometimes, it takes a while to load. And overall, it feels slightly clunky.

As a developer, I wish I could configure everything using code instead of having to configure it through the web app. This would be in line with today's trend of "Configuration as Code" (which is very popular in the developer world). That way, I'd only have to use the web app to see results.

Ultimately, these are nitpicks. At the end of the day, it's a great product, and the issues above are not dealbreakers by any means. Review collected by and hosted on G2.com.

Response from Emma Davis of Optimizely Feature Experimentation

Hi There,

We are so happy to hear that you're enjoying our product! Hearing your insight is key to improving user experience, so please don't hesitate to contact your customer success manager or message us at reviews@optimizely.com with any feedback.

Verified User in Financial Services
UF
Mid-Market (51-1000 emp.)
"Some kinks, but overall a great product my growing team has relied on for experimentation"
What do you like best about Optimizely Feature Experimentation?

My favorite feature is their feature flag feature, since it's so versatile. It can transition a feature conceptually between an experiment and rollout, which is great for any team that needs to test out a feature and iterate over time. Review collected by and hosted on G2.com.

What do you dislike about Optimizely Feature Experimentation?

Certain parts of the UI need some work to help enable teams to move faster i.e. showing environment toggles on the feature flag dashboard, having a "one click" button to transition a feature from experiment to feature rollout without costing more impressions.

One of my team's largest painpoints however, is how changes to an audience rollout and exposure made for an experiment must be done for all the environments the experiment is a part of -- that has lead my team to need to create separate projects for each environment and duplicate experiments across them. Review collected by and hosted on G2.com.

Response from Emma Davis of Optimizely Feature Experimentation

Hi,

Thanks for your feedback! Please reach out to your customer success manager or message us at reviews@optimizely.com if you would like to speak further about any of the issues you are experiencing with our platform.

Verified User in Financial Services
UF
Enterprise (> 1000 emp.)
"I am using Optimizely Full Stack for almost one year and I really enjoy the experience."
What do you like best about Optimizely Feature Experimentation?

It's easy to start a new experience and all data around is transparent to all in the team, not only devs. Review collected by and hosted on G2.com.

What do you dislike about Optimizely Feature Experimentation?

- Is a bit hard to find where/how to config each environment, everyone that joins the team has doubts around. Questions like "Where I change the value of variable x on development", "Where I change the percentage of the experiment on development".

- I don't like to have to change the experiments in the environment when I am developing/testing something locally, usually there is more than one person using the same environment.

- Do automatic tests, we use jest, is something that is consuming time, principally when the goal is testing all variations. Review collected by and hosted on G2.com.

Response from Emma Davis of Optimizely Feature Experimentation

Hi,

Thanks for your feedback! We are happy to hear about your positive user experience. Your customer success manager is always available for support or you can message us at reviews@optimizely.com so we can assist in providing you with solutions.

Verified User in Leisure, Travel & Tourism
UL
Mid-Market (51-1000 emp.)
"Overall easy to use"
What do you like best about Optimizely Feature Experimentation?

I like that you can set up several secondary/other metrics in addition to the primary metric. Results are very clear, and I like that I can see everything on one page, including impressions, metrics, stat sig, conversion rates, and visualizations. I'm a Product Manager, and from a PM standpoint, the tool is easy to use. Review collected by and hosted on G2.com.

What do you dislike about Optimizely Feature Experimentation?

I don't like that there isn't a way to filter on environment. Since Optimizely allows you to maintain separate Prod and other environments for each experiment, I would expect to have the option to filter for each. A developer on my team figured out a way to create a custom segment for this, but it's something I would have expected out of the box. Review collected by and hosted on G2.com.

Response from Emma Davis of Optimizely Feature Experimentation

Hi,

We are happy to hear that Full Stack is successfully providing you with business solutions. Please contact your customer success manager or message us at reviews@optimizely.com with any questions or recommendations so we can improve your user experience.

Thanks!

JM
senior software engineer
Mid-Market (51-1000 emp.)
"Feature Flags plus lots more"
What do you like best about Optimizely Feature Experimentation?

Adding feature flags for trunk-based development Review collected by and hosted on G2.com.

What do you dislike about Optimizely Feature Experimentation?

It can get quite complicated, depending on what you want to do.

Also, they have blog entries that correctly point out the benefits of testing with feature flags on and off, but have no examples of how you would use their SDK to do that. And when asked, they don't know how to actually do it either. Review collected by and hosted on G2.com.

Response from Emma Davis of Optimizely Feature Experimentation

Hi Jerry,

Thank you for your review, we highly value your feedback! Your customer success manager is always available to provide you with any support you may need or message us at reviews@optimizely.com so we can help find the solutions that are right for you.

Verified User in Real Estate
UR
Enterprise (> 1000 emp.)
"Enterprise features, enterprise UX"
What do you like best about Optimizely Feature Experimentation?

Optimizely is a very powerful A/B testing platform, and their libraries are easy to integrate into our web servers. Review collected by and hosted on G2.com.

What do you dislike about Optimizely Feature Experimentation?

The website for managing Optimizely feature flags and experiments is a little clunky. It's very slow if there are a lot of flags set up, and the controls for rolling out flags are poorly explained. Additionally, we had to build a separate tool in order to map Optimizely's audiences to our users. Review collected by and hosted on G2.com.

Response from Emma Davis of Optimizely Feature Experimentation

Hi There,

We appreciate your review! We continuously strive to improve user experience here at Optimizely. We encourage you to reach out to your customer success manager or message us at reviews@optimizely.com to discuss any of your questions or concerns.

Verified User in Internet
UI
Mid-Market (51-1000 emp.)
"Essential tool for companies growth"
What do you like best about Optimizely Feature Experimentation?

It's easy to check AB tests. No digging deep into data or doing queries. It's there for everyone in the company to see the results and anaylze it. Also the exclusion groups make it easy to test multiple tests at a time. Review collected by and hosted on G2.com.

What do you dislike about Optimizely Feature Experimentation?

Not much. Only a bit for effort on the tech side than the web tests. But we mostly try to do fullstack tests since it's seems more accurate for us. Review collected by and hosted on G2.com.

Response from Emma Davis of Optimizely Feature Experimentation

Hi,

Thanks for your review. We highly value your feedback and are happy that you're finding success with Full Stack! If you ever run into any issues or have any questions in the future, please contact your customer success manager or message us at reviews@optimizely.com.

Verified User in Logistics and Supply Chain
AL
Mid-Market (51-1000 emp.)
"Full Stack both in name and in nature"
What do you like best about Optimizely Feature Experimentation?

It enables us to do all the analytical plumbing of connecting our back-end systems to our optimization toolkit. This means we can really get into the detail of how our audiences behaved before and after conversion. Review collected by and hosted on G2.com.

What do you dislike about Optimizely Feature Experimentation?

It's not a nimble as their other product X Web. It can take our dev/product teams a while to spin out tests, due to all the 'plumbing' we have to do. While it does synch with other analytics tools, it's not as easy to integrate as other tools (e.g. X Web) Review collected by and hosted on G2.com.

Response from Emma Davis of Optimizely Feature Experimentation

Hi,

Thank you for your highly valuable feedback! We're happy to hear that you're satisfied with our product. If you ever have any questions or concerns please contact your customer success manager or message us at reviews@optimizely.com and we can work towards a solution that is right for you.

Verified User in Hospital & Health Care
UH
Enterprise (> 1000 emp.)
"Optimizely Full Stack"
What do you like best about Optimizely Feature Experimentation?

Quick response for the questions provided in the optimizely-community.slack.com Review collected by and hosted on G2.com.

What do you dislike about Optimizely Feature Experimentation?

Even the small feature was there "Asa Schachar:optimizely-white: 6 months ago

I think I see what’s happening. This is good feedback and I think we will be addressing this in an upcoming new version of targeted rollouts.

Since the rollout for the first audience is 0%, that means 0% of those qualifying for the first audience will be in the rollout. So it evaluates the everyone else rule.

To get the behavior you are looking for, you might need to use a feature variable, to keep it simple, you could have a boolean variable enabled that’s either true or false

Then for the targeted rollout, set it to 100% for all audiences but change the value of the variable for each audience. That way you can have a true experience for cypressON and a false experience for cypressOFF. Does that make sense? (edited) ' Review collected by and hosted on G2.com.

Response from Emma Davis of Optimizely Feature Experimentation

Hi,

Thanks for your review! We appreciate your feedback. If you ever have any questions or would like to discuss functionality any further please don't hesitate to reach out to your customer success manager or message us at reviews@optimizely.com and we will connect you with the right people.

Pricing Insights

Averages based on real user reviews.

Time to Implement

3 months

Return on Investment

17 months

Average Discount

11%

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Optimizely Feature Experimentation Features
A/B Testing
Conversion Goal
Percentage of Traffic
Flag Management
Rollout & Rollback Control
Monitoring
Multi-Environment Control
Feature Testing
Low-Code Interface
Reporting and Analytics
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Optimizely Feature Experimentation
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