Adobe Target vs Google Optimize

• The test report page is very intuitive. It is very easy to analyze a test based on different segments such as new and returning users.
• Having confidence levels inserted into the reporting tool is a key feature. While it is a simple feature, it allows users to easily understand when results are significant.
• We have recently created swim lanes for traffic and this has been very helpful to make sure that different tests are not crossing over in terms of traffic.

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• Easy user interface that can be picked up on fast.
• Fairly easy troubleshooting when it comes to proper code placement and configuration.
• Fantastic reporting that clearly explains when your test has reached statistical significance.
• Great options for really granular targeting.
• Superb integration with Google Analytics.

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• Documentation - the current docs are fine for the basics but when you want to do the advanced stuff it sucks and Client Care aren't that helpful with the tricky questions.
• Standard - the new 'Standard' WYSIWYG version of TnT is very new so I'll be kind however it's full of bugs and unusable - hopefully this will be fixed soon as it looks to have a lot of potential.
• QAing your tests - the Onsite feature has never worked properly in all the time I have used it. I've been told by people at Adobe not to use the feature.

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• Integration is not good. You have to add a "flickering" code to avoid loading the actual page (in case you get the experiment and not the control). This is the main reason why I am giving them a low score. The flickering code doesn't show absolutely ANYTHING until the time you state. If you add a low time, it will show a page and then reload and show the new one, which confuses the user. So this is a very bad experience from the user's perspective.
• Documentation regarding the "flickering" thing is not that accurate. It took a lot of time to actually get it to work. Debugging needs to improve.

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• It has helped us make decisions about whether to put manpower behind certain website strategies, as we've been able to test them temporarily and run A/B tests to prove effectiveness.
• It allows us an easy way to serve different content to different groups of staff members on our internal intranet.
• It allows us to know more about our users by measuring analytics of how users interact with the dynamic page elements served by Adobe Target.

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• Positive impact on conversions at the earliest goal.
• The significance becomes small when e-commerce is the main goal of a test due to multiple funnel settings. Using secondary goals mitigates this issue.
• Linear funnel is much easier to track.

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