Google Content Experiments was a tool that can be used to create A/B test from within Google Analytics. It has been discontinued since 2019, and Google now recommends using its Google Optimize service for A/B testing.
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VWO
Score 7.7 out of 10
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VWO is an A/B testing and conversion optimization platform that enables growing businesses to conduct qualitative and quantitative visitor research, build an experimentation roadmap and run continuous experiments on their digital properties. With its 5 capabilities Plan, Track, Test, Analyze, and Target, it brings the entire CRO (conversion rate optimization) process at one place. VWO helps online businesses follow the process- and data-driven conversion…
$99
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$99.00
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TESTING
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The classic VWO A/B testing solution
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The all-in-one platform for all your optimization needs
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Customized solution with advanced AB testing and conversion optimization capabilities
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Pricing Offerings
Google Content Experiments (discontinued)
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Free Trial
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Yes
Free/Freemium Version
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Premium Consulting/Integration Services
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Entry-level Setup Fee
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Community Pulse
Google Content Experiments (discontinued)
VWO
Considered Both Products
Google Content Experiments (discontinued)
Verified User
Anonymous
Chose Google Content Experiments (discontinued)
Google Content Experiments is a free tool and the leading tool in the industry. It's pretty simple to set up a test and use content experiments to monitor objectives once Google Analytics is installed. Less experienced team members can run tests with some training. There are …
It frankly was down to cost. Other platforms offer better targeting etc., however, we found that unless we could demonstrate early value - we didn't get budget sign off. Our teams aren't usually large enough to justify the cost and time to invest in a more complex platform - so …
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.
Google Content Experiment cannot compete with Adobe Test and Target, Quadratics or even Optimizley. It is harder to use with no editing interface, so pages must be actually developed. It doesn't allow for any advanced segmenting or multivarient testing. But it is free, so …
Google CE is free, Optimizely isn't plus only until recently I found out that Optimizely can work with multiple goals, however, this was found by meeting their employees at a trade show and not via their website.
We'd use content experiments as a complimentary testing tool alongside more comprehensive testing packages out there. As a free testing tool it does the job for basic A/B testing.
If you are looking for a more advanced great value for money solution I would recommend investigating Visual Website Optimizer. For a more powerful enterprise level solution with the option to have a fully managed service I would recommend Maxymiser.
Google Content Experiments provides significantly more insight, historical data and analysis than Unbounce. However, if you do need a solution that offers a WYSIWYG editor, landing page hosting, and limited reporting and testing, Unbounce is a good all-in-one solution and that …
Verified User
Anonymous
Chose Google Content Experiments (discontinued)
GCE isn't better or worse than any of these, it's just different. When I have the time to build a new page, setup the testing scripts, and go - then I'll use GCE. If I'm doing multivariate I use VWO. If I'm testing a quick button or headline change, I use Optimizely or UnBounce.
Google CE does a great job streamlining tools and features. Optimizely does not offer nearly the same amount of tools or resources that G CE does. I would use CE in the future but stay away from Optimizely. Google also has a lot more resources for accruing knowledge on it …
As I mentioned, VWO is a great all-in-one tool that lets clients research & test all within one tool. It's a little on the expensive side so it might not deliver the desired ROI for smaller clients and can also encourage the small clients to run small, insignificant A/B tests …
We used to use Proof, but when we then stacked them up against VWO, VWO had some additional functionality and integration capabilities that Proof did not have which gave us greater ability to do some more website experimentation and personalisation options. VWO integrates with …
VWO is by far the easiest tool to use among all experimentation tools. It is like the experimentation tool for dummies and works as well as the others. A highlight would be the reports on every test because compared to the others, in VWO is way much easier to understand the …
Basically, they have the same features but VWO is much cheaper than the paid version of optimize. If you don't need to do more than 5 experiments at a time, then the free version of Optimize is great. If you do need to be able to do more than that, then VWO is a great …
Vs. Google optimize VWO is much better: * Setting up a test, the GUI is much better. * Performance (loading times) is better, improving conversion rates.
I did not evaluate all of the other software choices in this decision, but my understanding is that VWO is best in class to optimize website experiences.
The competitors that might be worth checking out: Google Analytics, Unbounce, Instapage, Evergage, Landingi, ion Interactive …
While there are many free or cheap options for A/B and multivariate testing out there (and we have tried several), VWO provides the right balance between cost and capability for our agency. That, and the level of customer service provided when we need it makes VWO our choice …
We use VWO not in competition with, but alongside other tools, as we believe a mixture is the best recipe for success. Hotjar is a slightly different offering and has some very strong heatmap/ journey mapping capabilities. We tend to use it for that, with the insight feeding …
There are significant differences in each platform when it comes to optimizely and vwo. From a functionality and performance perspective they each have their pros and cons. It is important to go through the feature sets of each and ensure the solution you select will work …
I used Google Optimize when it had just launched. It was therefore not yet a competitor to VWO. I haven't used it in roughly half a year time, so a lot has probably changed.
I still use Hotjar for certain features that VWO offers, but which I think function better in Hotjar. I …
VWO has worse usability and isn't as flexible as the other platforms. Also, the insight that Qubit and Optimizely generates is actually accurate and can be used compared to the reports that VWO provide.
We enquired and looked into using Optimizely and Qubit before deciding on VWO. All appear to be great tools that would have done the job required, however, when compared, we didn't hit the level of traffic for Qubit to consider a partnership, and Optimizely was a lot more …
VWO is much better than others at providing an easy way to run tests and gather data, but we do currently supplement it with Hotjar for better heatmap tracking and detailed visitor tracking. We also use Google Analytics for general traffic sourcing and behavior, as well as …
I was not involved in optimizely, nor did we implement it outside a free trial I believe, but VWO seemed to do generally the same things with a lower cost, though I could be mistaken.
I have used qualtrics in the past. It is very good for survey creation and logic. I know some …
VWO is way more comprehensive and powerful. We selected VWO because of multiple factors including pricing, capabilities, and last but not least, support. It's quite important to be able to liaise with the platform when building 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.
Our marketing team does a lot of creative testing around messaging and imagery. VWO is well suited for this type of testing and can yield great results if you define your conversion goals correctly. However, when we have tried to do more substantial/advanced changes through VWO (such as re-positioning content or modifying elements in a form), we have had some challenges and not been able to get the desired tests working correctly.
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.
VWO has a strong support team willing to help provide answers to questions during the setup process. During setup, we had some questions regarding implementation across a significant number of sites and they were able to ease dev team concerns and provide detailed best practices to streamline integration.
Some of the initial results of a few of the initial tests raised some questions internally. We setup a call and were able to quickly address the questions and find some opportunities to leverage moving forward.
I discovered a bug within the UI that lead to some questions internally. I was able to report it and the problem was fixed rather quickly and their team followed up with a thank you for reporting it and to report the issue was now resolved.
The heatmaps within A/B tests are overlayed on the live website. Unfortunately, these don't work properly when scrolling down the site.
I am missing an overview of all my custom conversions. I can only see a list of frequently used goals while setting up an A/B test, which may or may not include all custom conversions.
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.
Visual Website Optimizer is a easy to use and powerful tool for testing web pages. We use it to test lead generation websites to increase the number of people that complete a form. Before we decided to go with Visual Website Optimizer we did research into other options and found Visual Website Optimizer to be one of the best.
Overall VWO is quite good with general user usability, and every person who has had to take up the mantle of using the tool itself has found it manageable. However there is definitely some room for improvement - again, perhaps this is particularly the case because we are running a large number of tests in a number of different languages (and markets, and countries!) which requires a lot of upkeep.
VWO doesn't appear to slow down our website at all, though some customers with adblockers like UBlock Origin have been known to not see entire pages if VWO is making changes to the page at a macro level (background, font, etc). This is rare though.
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.
While their online document support is lacking a simple email to their support team will almost always get responded to the next day. It has however taken more than one email to explain the problem to the support team till they understood the problem. The solution I was given also only half fixed the problem the rest I figured out on my own.
Training was good, just limited to the onboarding process. They walked through all of the steps it takes to get started in VWO and each of the modules, along with giving us ideas for starting our first test. I feel like it could be better if there was a guided process within the VWO program to continue to educate you along the way, and a way to turn that off for experienced users.
Overall, the implementation of VWO is straightforward. If you've got a straightforward way of deploying code to all of your test pages, either a good CMS or a TMS, then implementation should be a breeze. There is no tweaking to be done to the code itself, and once deployed it has the flexibility to cope with different VWO modules (tracking, conversion analysis, session analysis) without modification.
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.
VWO is by far the easiest tool to use among all experimentation tools. It is like the experimentation tool for dummies and works as well as the others. A highlight would be the reports on every test because compared to the others, in VWO is way much easier to understand the metrics and the test performance.
The product seems infinitely scalable for our needs (small business) and we've never had any issue with loading VWO-edited elements. I will say, though, that online customers with ad blockers have been known to not see certain VWO elements as their third-party scripts are disabled.
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.
Our clients have seen significant increases in engagement and conversion rates through changes we recommended after using VWO to test our hypotheses.
Our clients and internal teams have appreciated the level of granular detail available within the platform, as more information leads to more reliable optimization suggestions.