Convert Experiences vs. Google Content Experiments (discontinued)

Definitely well suited for budget conscious companies that want a solid array of functionality but without having to pay an exorbitant amount. Great for marketing and analytics team members that need the ability to get in and set up tests w/o dev assistance. But, functionality is there for developers to get in and set up more complicated tests.

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

• The platform is good value for money, comparing its features and prices to some of the bigger players.
• The tool is very flexible and can be used for simpler tests right through to much more challenging and rewarding testing but does require a more thorough knowledge of the platform.
• Their support team is always available and always responsive, not resting until resolutions are met.

• 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.

• The only thing I'm really missing is segmentation during or after testing of the results by device, new users etc., within the results page. Targeting of users based on segments is obviously possible.
• There are a few inconsistencies in their user interface that I would have liked to see differently. This could be personal taste though.

Incentivized

• 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

Couldn't live without this, no other tool does precisely what we need them to do

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.

To use the platform in the context of developing enhanced tests that stretch the platform there is as with most things a learning curve. However, if you're a casual user or have standard experiments that you wish to run you would be easily able to hit the ground running.

I use support only in very emergency cases. The support hasn't been very helpful and suggests the problem is on my site

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

Convert was selected based on price point, feature set, and UI/UX. All three are very friendly to new testers and small to mid-market size companies. Their UI and tool workflow is the best out of all of the non-enterprise solutions that I have tried. There is some small room for improvement, but that only really affects power users or tests that require significant coding/development work to execute.

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

• Using Convert has allowed us to make quick decisions on site edits and price changes. Seeing and sharing quick results makes our operations much more profitable.
• Connecting the tests with Shopify has produced very valuable and timely results that we can act upon as soon as we see statistically significant results.

• 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