Bound vs. Google Content Experiments (discontinued)

I think the customer service and relationship we have with Get Smart Content is great

Google Content Experiments is suited for large and small organizations, no matter your organizational goals. It is not recommended for organizations that are only interested in qualitative data, as there are other tools for receiving specific user experience feedback. It is also not recommended that you implement tests without some sort of goal in mind.

Incentivized

• Tracking/Data Analysis
• Unique experiences
• Reaching many demographics

• When you need to measure against event-based goals
• If you need to see how the test variations performed against secondary goals
• Given that the the platform requires you actually code a new page with a unique URL, this tool can be good for radical redesigns.
• Great insights into other information about your testing groups, like whether or not they're mobile, screen size, browser, or really any dimension available in GA.

• There are some additions we would like to see, such as a better experience in the Performance section. It'd be great if we could see an overall view of the metrics instead of having to drill down. We do a monthly KPI report which takes me a while to create due to the back and forth nature of comparing metrics within Get Smart Content. I also have to use Google Analytics to help with this.
• We had some issues with the tool not updating Eloqua contacts, but that has since been resolved. The process for discovering the cause of the problem was lengthy and frustrating.
• It would be great if you could see metrics of an A/B test within the campaign/rule, instead of having to go to the Performance section and find it. A small snapshot of info would be very helpful and it would allow us to compare and update the rule without leaving that page.

• You can only optimise for one goal, so if you have several conversions, like phone call and email you need to do it manually.
• It seems not to work that well for pages with lower amounts of traffic - not great for new or niche sites.

Incentivized

Content Experiments just makes it is simple and easy to implement A|B tests. We will be evaluating other tools in search of a more robust system for multivariate and cross-page testing, such as Optimizely or Visual Website Optimizer. However, for basic testing, you can't really beat it.

Using the free tool, overall "live support" is limited. However, there are plenty of online resources to get started. If you need handheld support, it is best to upgrade the service or hire a developer through one of Google's partner agencies. There could be more support for understanding what makes a test useful or not.

Incentivized

Get Smart Content is what we primarily use to serve up segmented content. The only other method or tool we've used to do so while leveraging our Demandbase variables is Optimizely. We selected Get Smart Content because they make the process of segmentation using Demandbase variables easy

Incentivized

Google Website Optimizer was a better product but has been discontinued. We have also used Test and Target , which has more features but we have been doing fine with Google Content Experiments. Most testing situations can be handled with Google Content Experiments.

Incentivized

• Allows to set up automations for several different scenarios.
• Allows tracking links and the display of the stats/reporting.
• It has ability to duplicate campaigns, which saves me a lot of time.

Incentivized

• Doing good experiments/Optimize has helped to take out the guesswork of the things we want to implement.
• We have done fairly complex changes such as changing navigation and managed to see improvements outcomes immediately before we have to request developer.
• Our teams have become more data centric in how they approach changes.

Incentivized