Optimizely Feature Experimentation vs. Userlytics

Following scenarios, Optimizely Feature Experimentation is well-suited Experimentation tests require results to be measured, like pricing tests and UI tests. feature flags and variables can be used as dynamic configs. etc... Following scenarios, Optimizely Feature Experimentation is not well-suited Experimentation without code changes, such as CSS changes or text changes on the page, supported by Optimizely Web, is not well suited for Optimizely Feature Experimentation. If this functionality is also supported by Optimizely Feature Experimentation, then it can be really helpful.

Incentivized

Userlytics would be appropriate to use if you were investigating UX on your website, or wanted to identify any pain points which could be causing lower conversion rates. Not only will it be a way to gain direct user feedback, but it enhances your visual ability to see how a user progresses through your website. It is well suited if you have less time to conduct moderated user research at a facility or a client doesn't quite have the budget for that. It may be less appropriate if a client wants a bigger project with larger budgets and more time. In this case, moderated, face-to-face research may be more appropriate.

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

• Excellent customer service
• Fast response rate
• Implementing new features

Incentivized

• Onboarding takes time because there is a steep learning curve.
• The shift from the legacy version to the latest version required some changes in mindset.
• The layouts of Optimizely Web and Optimizely Feature Experimentation are quite different, so it takes time to transfer from one to the other.

Incentivized

• User interface
• Mobile support
• Consolidation of Results

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

Incentivized

I think it's very user friendly. I think it gives you a chance to get a feel for websites you may not previously have experience with nor have otherwise experienced. It's also a great way to give input and help shape functionality of business you may enjoy or have further interest in

Incentivized

They give their best and also reply to queries immediately

Well trained Professionls

Decent but not comprehensive

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

Incentivized

Even though it takes time to set up. The work is diligent and out of the quality is great

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

We used WhatUsersDo. However, the tool currently got bought out by a bigger company and were removing the remote research tool. We chose to use Userlytics as it stacked up well against competitors.

Incentivized

had troubles with performance for SSR and the React SDK

Incentivized

Delay to get output

• Experimentation is key to figuring out the impact of changes made on-site.
• Experimentation is very helpful with pricing tests and other backend tests.
• Before running an experiment, many factors need to be evaluated, such as conflicting experiments, audience, user profile service, etc. This requires a considerable amount of time.

Incentivized

• Definitely positive, I would say about 30%.

Incentivized