Intellimize automatically optimizes websites to drive revenue and customer acquisition. The company’s AI dynamically personalizes mobile and desktop websites for each unique visitor in real time.
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Optimizely Feature Experimentation
Score 8.4 out of 10
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Optimizely Feature Experimentation unites feature flagging, A/B testing, and built-in collaboration—so marketers can release, experiment, and optimize with confidence in one platform.
Intellimize has done a great job of targeting our highest trafficked pages. For a demand generation organization it helps provide a lot value for places like the homepage or various high value funnels. Where Intellimize falls short is where we have a specific technology stack that often causes issues for us being able to run tests at scale because some experiments break or fail to run. Please do yourself a favor and evaluate this tool with your development team before purchasing. Single Page Applications do have re-rendering issues given some experiments which lead to run-time issues that need to be heavily QA'd before launch. For teams that are ecommerce or have a typical technology stack (e.g. wordpress and static pages), then Intellimize will probably work without any issues.
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 -
CSM and Engineering resources are available with Intellimize and allows us to spend more time thinking about new ideas to implement.
AI/Machine Learning allows winning personalizations to continually run or switch between variants for users that may convert better based on firmographic data
The CSM is a wonderful collaborator and acts as a liaison between Intellimize's engineering team. With their help, I am able to better refine my own testing roadmap.
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.
QA of larger tests that require heavier engineering effort can often run longer than a week and can block the already limited number of tests you can run
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
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
Intellimize is a league above products like VWO and Google Optimize. Simply having the support from an external engineering team gives your web team the freedom and bandwidth to do more. The level of support for Google Optimize is entirely limited, especially if you're using the free version of that product, and I am skeptical of paying Google for the paid version of it since the largest value of the paid version of Optimize, is to simply run more tests. VWO has amazing heatmap and reporting, but severely lacks any Machine Learning or firmographic data. While their support is exceptional, it's not the same as having a dedicated CSM to help plan a roadmap. It's also helpful to note that VWO, Google Optimize, and Intellimize have issues with single page applications. Static websites are likely to run entirely fine without issue.
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
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.
