I am using optimizely to control which roles on my SaaS can see each feature. Its very easy to control experimentation and feature flag. Its very simple to implement and to make changes to audiences and features. We use it everyday in production, and its very easy to integrate with the Javascript library.

Everything always worked fine, so we never need to call the customer support, so no feedbacks about that. Review collected by and hosted on G2.com.

At the first time, we found a little hard to understand how to register and enable the feature experimentation in our product. But past that, we didn't have any kind of issue. Review collected by and hosted on G2.com.

It is quite easy to use once it is implemented, and above all the multiple options without having to modify much of the implemented code, being able to perform A/B tests and manage variables all from the same space. Review collected by and hosted on G2.com.

The only thing I didn't like was the implementation, it's true that the team was helping us a lot, but it took us a long time to implement it, first of all to understand the implementation and above all to be able to segment perfectly. Review collected by and hosted on G2.com.

Ability to define experiments, flexible cohort organization, clean user interface Review collected by and hosted on G2.com.

Integrating in-house metrics has been painful personally Review collected by and hosted on G2.com.

Optimizely feature flag provides a best solution for experimentation in your project(app/web/backend)

Through Optimizely you control the rollout of your features based on the parameters set i.e, country wise, some parameters defined within your system and many more. Review collected by and hosted on G2.com.

Found the product to be but on a expensive side compared to other similar software available. Review collected by and hosted on G2.com.

Optimizely Feature Experimentation is a well-balanced platform that caters to both business and developer needs. The developer documentation is highly detailed, making implementation smooth, and the support team is exceptional—quick to respond, always helpful, and open to prioritizing new feature requests. Review collected by and hosted on G2.com.

While Optimizely is a great tool, it lacks some essential management features. I’d love to see better tools for flag management, such as an overview of all running, paused, and stale flags, the ability to label and tag flags, custom fields for adding extra details, and insights into flags running for too long. Review collected by and hosted on G2.com.

Once you get the hang of the terminology and interface, it is fairly simple to manage feature flags and audiences for feature experimenting. Review collected by and hosted on G2.com.

The flow of handling large volumes of audience members is not performant via the web interface. I found when adding hundreds of records, the front end suffered. I was able to handle it all via their json interface. After discovering the json interface, it went smoothly except for that brief time on loading I had to quickly toggle that interface before the front end started crawling trying to generate elements for all my records. Review collected by and hosted on G2.com.

The ease of creating and managing audiences for experiments is paramount in creating new features and quickly sharing the changes with stakeholders. Review collected by and hosted on G2.com.

I would love to be able to apply multiple feature flags at once as a condition - for example, only apply to audience at 5% if they also have this additional feature flag enabled.

In addition, the UI of the flags is still a bit difficult to navigate, but it is new. Review collected by and hosted on G2.com.

I like the clarity of tracking different metrics, the tools to explain/achieve statistical significance, and the potential to connect to our data warehouse. I feel like it's hard to know exactly what I like the most at this point, as we're still early days into our adoption journey, but so far we've been setting up experiments via feature experimentation and successfully achieved conclusive results - I also like the option to apply a targeted rollout upon conclusion. We've felt well supported by the team so far too. Review collected by and hosted on G2.com.

We're struggling with the ability to match up Optimizely's event counts to the event counts on our actual front end tracking. Also we can find it frustrating that sometimes you need to upgrade tiers for functionality we consider relatively basic. Review collected by and hosted on G2.com.

Optimizely Feature Experimentation is a great A/B testing platform! It is designed for data-driven teams as well as developers, product managers, and other marketing roles looking to optimize digital experiences. It provides a comprehensive set of tools that helps you experiment with new features, personalize user experiences, and overall make data-driven decisions! Review collected by and hosted on G2.com.

Users must have prior A/B testing knowledge about what’s a variable, variation, and feature flag. It is essential to know what is a production environment vs development environment to make sure users are effectively using the platform! Review collected by and hosted on G2.com.

Optimizely is relevatively easy once set up to be able to rollout features, as well as perform experiments in a number of ways including multi-variant tests Review collected by and hosted on G2.com.

I do believe the drill down and analysis capabilities could be better, as well as making it easier to handle complex experiments that includes different ways to test how to drop into the different cohorts Review collected by and hosted on G2.com.