Optimizely Feature Experimentation vs. PlaybookUX

Optimizely Feature Experimentation is good if you have a clear release process that incorporates It into your current product release cycle. However, It requires a lot of resources and time, especially at the start when teams are learning how to use and deploy it. Therefore, it may not be the best Experimentation to go for if you are starting in your Experimentation journey.

Incentivized

PlaybookUX is fabulous for ad-hoc tests with small budgets, but can also scale up to larger projects easily. I've recommended the tool to several people and they love it, too!

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.

Incentivized

• They recruited our demographic.
• Customer support was awesome.
• Studies are very easy to set up.

• 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

Incentivized

• With other testing platforms, I can update my profile, but I'm not sure how to do it with PlaybookUX.
• It would be nice to have a login location where I can see my available tests.

All features that we used were pretty clear. They have a good documentation

Incentivized

Setting up a study only takes 5 mins. and you can preview a study before sending it out so you don't make any mistakes.

Very responsive when I had a technical question about a test.

It’s straightforward. Docs are well written and I believe there must be a support. But we haven’t used it

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.

Incentivized

Both have different set of unique features and usability.

Incentivized

had troubles with performance for SSR and the React SDK

Incentivized

• Optimizely has helped us increase our website's conversion rate by 20%. This has resulted in more revenue with the same level of traffic.
• Optimizely's feature flagging capability has lowered the risk associated with releasing new features, leading to a 15% decrease in development costs.
• The integration of Optimizely's real-time analytics has allowed us to make decisions based on data, getting rid of guesswork and errors.

Incentivized

• Quick testing at scale
• Excellent price points

Incentivized