Optimizely Feature Experimentation vs. SessionCam (discontinued)

Based on my experience with Optimizely Feature Experimentation, I can highlight several scenarios where it excels and a few where it may be less suitable. Well-suited scenarios: - Multi-Channel product launches - Complex A/B testing and feature flag management - Gradual rollout and risk mitigation Less suited scenarios: - Simple A/B tests (their Web Experimentation product is probably better for that) - Non-technical team usage -

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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.

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• It is easy to use any of our product owners, marketers, developers can set up experiments and roll them out with some developer support. So the key thing there is this front end UI easy to use and maybe this will come later, but the new features such as Opal and the analytics or database centric engine is something we're interested in as well.

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

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• Would be nice to able to switch variants between say an MVT to a 50:50 if one of the variants is not performing very well quickly and effectively so can still use the standardised report
• Interface can feel very bare bones/not very many graphs or visuals, which other providers have to make it a bit more engaging
• Doesn't show easily what each variant that is live looks like, so can be hard to remember what is actually being shown in each test

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• 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.

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Competitive landscape

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Easy to navigate the UI. Once you know how to use it, it is very easy to run experiments. And when the experiment is setup, the SDK code variables are generated and available for developers to use immediately so they can quickly build the experiment code

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Support was there but it was pretty slow at most times. Only after escalation was support really given to our teams

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Very good support and super helpful implementation specialists.

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

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When Google Optimize goes off we searched for a tool where you can be sure to get a good GA4 implementation and easy to use for IT team and product team. Optimizely Feature Experimentation seems to have a good balance between pricing and capabilities. If you are searching for an experimentation tool and personalization all in one... then maybe these comparison change and Optimizely turns to expensive. In the same way... if you want a server side solution. For us, it will be a challenge in the following years

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

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had troubles with performance for SSR and the React SDK

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• 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.

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

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