Adobe Target vs. Google Content Experiments (discontinued)

We recommend this application because it allows us to segment and track the traffic of our domain under an analysis of their behavior, ranging from counting the number of clicks they make on a single element to the most complete action within our page in real time.

Incentivized

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

• Because the software is established there is lots of online help available and most of the bugs have been worked out
• Adobe has a vast supply of resources if your pockets are deep enough.
• The dashboard is easy to follow and is getting more user-friendly. You no longer have to be an HTML wizard to implement changes.

Incentivized

• 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 should be some more clarity around what makes a test significant. While this can be decided by the client themselves, some direction from the tool would be helpful.
• Also, if there was an easier way to organize campaigns and search for them it would be helpful. Right now there is just a long list of campaigns and you have to rely on search to find a specific campaign. What if you don't know the name of the test?

• 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

Once you get started with your testing program, you realize that it is necessary to continue. You must keep optimizing in order to remain a vital competitor in today's marketing world. Even if you're not using Test & Target or any other user experience testing software, you ought to be performing comparison tests on your own, simply by routing your audience to different experiences and quantifying the aggregate of the results.

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.

The recent UI update is a complete mess. It is difficult to navigate and find features that previously existed. The reactiveness of the page depending on window size is also ridiculous and it is absurd that depending on how large your window is, entire columns of functions will disappear with no indication that they are missing. The usability of the tool has fallen off a cliff.

Incentivized

i don't think we use the full functionalities of the tool, but to use the full functions, it's almost impossible (Too hard)

The bottleneck is never the software program

On several occasions, we have had the need to ask for help from the Adobe Target support team, and I must say that they have provided us with an excellent experience, as they take care of solving the problems quickly and with high precision

Incentivized

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

The instructor that came to train us was awesome and this training was very useful. I would recommend it for anyone who is going to be using this software. I only mark it lower because it is an added expense to an already expensive product, and a lot of the training covered the "Target" portion of the software (which again, we didn't use)

The training was very easy to understand, however it would have been more useful to my development team than me. It was also primarily over-the-phone, which is never as easy to follow as in-person. We ended up scheduling and paying for an in-person training session to supplement the online/phone training because it wasn't helpful enough.

Implement using a global mBox on the page so you can change any and everything over the traditional method. Traditional method is good if you do not have technical web dev resources, do not know Javascript/jQuery, or you have money to blow on mBox calls. Global deployment reduces mBox calls and allows you to touch many parts of the page easily. A lot more customizable

For us, the decision was very straightforward. We chose to invest in the Adobe stack and utilize tools that are developed to integrate together and complement each other. Ex: Adobe Target 'A4T' integration within Adobe Analytics. Optimizely appears to be a great tool, but for us aligning with the Adobe suite, ensuring that future product enhancements and tools would work well together was a very important key factor in our decision

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

• This is something we've been working to improve on, as far as how we're calculating and tracking this, but Target has had a substantial ROI on our business.
• I will say specific to our efforts, we could have probably done similar work if not the same work using a different testing tool (Optimizely for example), but Target has been good for us.

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