Optimizely Feature Experimentation vs. SessionCam (discontinued)

To my experience, Optimizely should be used across all core software releases in platforms/apps and products that are customer facing regardless whether b2c or b2b. Even in cases of internal platforms with thousands of users, testing features or pre-releasing and monitoring functionality is key. Good to note that it is less appropriate in cases where minor releases, backend software improvements are referred to.

Incentivized

SessionCam works well for helping you figure out what is and isn't working with a small or mid-sized business website. It can give you valuable insights regarding the flow of the user's movements on the site, and where the user might hit a dead end. Its reporting capabilities might not be powerful enough for more complex situations.

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

• Session replay.
• Integration with Google Analytics.
• Struggle score.

Incentivized

• Running Experiments Exclusively with user profile service. If one experiment is already allocated with the user profile, another experiment in the exclusion group should not trigger the experiment.
• Ability to reevaluate audience condition with user profile service, in case audience condition do not match remove override from user profile override. Differentiate between qe override and user profile override.
• Ability to connect multiple IDs to achieve consistent experimentation across devices.
• Any way to achieve optimizely web capability using Optimizely Feature Experimentation.

Incentivized

• They only did one part of an audit and said they were going to finish it, but never did. I've followed up with the account person and haven't heard back. This is a recent development this didn't happen with 2 other audits they did.
• It has aspects to try and narrow down the data, but it's still a lot of data to parse, so in the end, it still takes a lot of time to truly use it.

Incentivized

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

Incentivized

Very good support and super helpful implementation specialists.

Incentivized

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

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).

Incentivized

I have never used any other similar tool and I am happy to say they proved exactly what we need.

Incentivized

had troubles with performance for SSR and the React SDK

Incentivized

• We have improved various metrics throughout the course of our experimentation program with Optimizely and therefore sharing numbers is tricky. Essentially we only implement versions of the product that perform the best in terms of CVR, revenue/visitor, ATV, average order value, average basket size and so forth dependent on the north star we are trying to move with each release.

Incentivized

• Allowed us to improve our website in-house
• Relatively low cost solution
• Customer engagement and sales on website increased

Incentivized