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.

Do you already have Google Analytics? If so content experiments is a good, free, starting point to dip your toes in A/B testing. Do you need to run Multivariate experiments? If so, Google Content Experiments is not going to fit your needs.

Incentivized

• Over the top powerful Javascript enabled targeting. This feature is called DMP Profiling and is available in the Pro Plan, currently only +$100 more than the plus plan. An article explaining this feature is here for further reading: https://convert.zendesk.com/hc/en-us/articles/206631623-Target-experiment-based-on-a-custom-Javascript-condition-that-evaluates-true-at-a-later-stage. I wrote up a much longer explanation but TR broke it up weirdly. The gist is that you can powerfully use JS to target. This allows me to target users in our SPA in incredibly advanced ways. I can walk their entire history model and assign them an audience value, or I can exclude them. It's MUCH more powerful than just a "Site Area" tool. We recently used it against 900K users to check if they had written a review of their apartment or not yet. This allowed me to only expose the user on the homepage to an experiment that prompted them to write a review while excluding users that couldn't write a review from the experiment (because they had already written one). The experiment converted 50% better than what we do now, generating 9k reviews in a matter of hours.
• Audience targeting IN ADDITION to all that fancy DMP targeting. This means I can define demographics or other data as a qualifier AS WELL as the previously mentioned qualifier. This can be setup in so many ways: Traffic source, Visitor Data, Include / Exclude users part of a current experiment (!!), Date/Time, Device/Browser/OS, JS Conditon
• Real-time reporting that makes sense to the whole company to view. Seriously, I can share a Convert Report to any level of intelligence on my team and they understand what's happening.
• Audiences and Goals are saved as presets, so your entire team can use them. Using the example above, we have an audience called "Wrote a Review" that we exclude from the Review Prompt treatments.
• Their customer support is seriously fast at answering questions. I've never had to wait more than a day.

• Quick and easy to create and set up experiments
• Results are presented in a way that is familiar and easy for any Google Analytics user to understand. So is great for beginners to conversion testing
• Already integrated into Google Analytics and can measure results against your existing conversion goals
• Allows nine possible variants to be A/B tested
• Features more than one testing methodology, Bayesian (Multi-Armed Bandit,) and Full Factorial
• Allows the user to select one of three possible confidence thresholds to ensure that experiment results are robust
• Great value, it is free!

• We are aggressive testers and have demanding clients, and if there was any part of the Convert platform where I'd like to see improvement, it would be in the reporting section where I feel a vertical report could present in a more readable fashion to the users.

• Their documentation is not the best and it's quite a steep learning curve.
• They also don't tell you particularly well what sorts of things you should be testing.
• Compared to other suppliers of A/B testing tools- it needs a simpler interface. Optimize is starting to answer that - but is still quite Beta-like.

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.

• CE has made efficient time use easy and fool-proof when it comes to learning the software
• Because it integrates with other Google programs there is a benefit to track with Google Analytics
• The learning curve can create initiate time investment that may go beyond what companies are willing to dedicate.