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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Optimizely Web Experimentation
Score 8.7 out of 10
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Whether launching a first test or scaling a sophisticated experimentation program, Optimizely Web Experimentation aims to deliver the insights needed to craft high-performing digital experiences that drive engagement, increase conversions, and accelerate growth.
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Agentforce Marketing
Score 7.7 out of 10
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Marketing Cloud is a cloud-based digital marketing platform, used by marketers can segment their audience, deliver personalized messages, track campaign performance, engage leads and accounts, and optimize strategies based on real-time insights.
$1,250
per month per installation
Pricing
Google Content Experiments (discontinued)
Optimizely Web Experimentation
Salesforce Agentforce Marketing
Editions & Modules
No answers on this topic
No answers on this topic
Account Engagement
$1,250
per month
Engagement
$1,250
per month
Intelligence
$3,000
per month
Loyalty Management
$20,000
per month
Personalization
$100,000
per year
Data Cloud for Marketing
$108,000
per year
Offerings
Pricing Offerings
Google Content Experiments (discontinued)
Optimizely Web Experimentation
Agentforce Marketing
Free Trial
No
Yes
Yes
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
Yes
Yes
Entry-level Setup Fee
No setup fee
Optional
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google Content Experiments (discontinued)
Optimizely Web Experimentation
Salesforce Agentforce Marketing
Considered Multiple Products
Google Content Experiments (discontinued)
Verified User
Manager
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 …
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 …
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.
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 …
Our choice of Optimizely was based on ease of use, reputation, and price. All 3 solutions seemed to have high reviews from users. We found VWO to be the most expensive, with Google CE being free and Optimizely in the middle. However we ruled out Google because it seemed to have …
These competitors are great examples of what is below and above Optimizley, in terms of price and capability. Adobe Test & Target is going to have a lot more features and capabilities, and, as you probably have guessed, it is much, much less affordable. Google Content …
We previously used Google's content experiments to do our A/B testing, but we found their testing methodology to be inflexible (they would often stop experments when they felt that a certain level of confidence was met and did not allow us to build in our own level of …
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.
I think it can serve the whole spectrum of experiences from people who are just getting used to web experimentation. It's really easy to pick up and use. If you're more experienced then it works well because it just gets out of the way and lets you really focus on the experimentation side of things. So yeah, strongly recommend. I think it is well suited both to small businesses and large enterprises as well. I think it's got a really low barrier to entry. It's very easy to integrate on your website and get results quickly. Likewise, if you are a big business, it's incrementally adoptable, so you can start out with one component of optimizing and you can build there and start to build in things like data CMS to augment experimentation as well. So it's got a really strong a pathway to grow your MarTech platform if you're a small company or a big company.
I think the product, by definition, is meant for marketing — and we use it exactly for that, for running campaigns. That’s the best-suited use case for the product. I don’t think it’s really meant to be used for anything else — that’s just not how it’s designed.
The Platform contains drag-and-drop editor options for creating variations, which ease the A/B tests process, as it does not require any coding or development resources.
Establishing it is so simple that even a non-technical person can do it perfectly.
It provides real-time results and analytics with robust dashboard access through which you can quickly analyze how different variations perform. With this, your team can easily make data-driven decisions Fastly.
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.
I rated this question because at this stage, Optimizely does most everything we need so I don't foresee a need to migrate to a new tool. We have the infrastructure already in place and it is a sizeable lift to pivot to another tool with no guarantee that it will work as good or even better than Optimizely
As of right now we have not seen any other program that integrates as seamlessly into our Salesforce platform. We have barely scratched the surface of all the features and use cases. It would be irresponsible to make a move to another platform in the near future. We have not come up against any limitations that would prompt a need to switch
Optimizely Web Experimentation's visual editor is handy for non-technical or quick iterative testing. When it comes to content changes it's as easy as going into wordpress, clicking around, and then seeing your changes live--what you see is what you get. The preview and approval process for sharing built experiments is also handy for sharing experiments across teams for QA purposes or otherwise.
You won't find another solution that has as many features as Salesforce Marketing Cloud Interaction Studio. We all know Salesforce, we all know how big they are and it's not for nothing... Their tools do most of the things you want, need and even imagine. Using it is complicated, but the usability is infinite.
I would rate Optimizely Web Experimentation's availability as a 10 out of 10. The software is reliable and does not experience any application errors or unplanned outages. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
Upgrades and timing of the upgrades were communicated well and planned during off hours for our work. If we did have a campaign scheduled during that time, it would kick-off after the system was back active. There were a few unplanned system down times, but it was a rare occurrence and those times were also short in duration.
I would rate Optimizely Web Experimentation's performance as a 9 out of 10. Pages load quickly, reports are complete in a reasonable time frame, and the software does not slow down any other software or systems that it integrates with. Additionally, the customer service and technical support teams are always available to help with any issues or questions.
Though the make up of MA apps is not built this way today, it would be nice to see them become more real-time. The integration between Salesforce and Pardot is not a true real-time integration. If I modify something in Salesforce, those changes are not automatically reflected in Pardot immediately. There is a delay of about 15 minutes before the systems sync. This delay, although not long, is less than ideal We would love the systems to be integrated real time such that changes are propagated from one system to the other immediately.
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.
They always are quick to respond, and are so friendly and helpful. They always answer the phone right away. And [they are] always willing to not only help you with your problem, but if you need ideas they have suggestions as well.
They are really responsive and more than not solve the problem or give you insight to how you can manage the solution yourself. I do find however sometimes a long delay on the more complex issues when they need to loop in other departments. but overall a good experience with support
The trainers at the Pardot user conference (Elevate and Connections) were very knowledgeable and presented the material well. Again, the content was targeted to more of a new user audience, and was not really relevant for folks who had been using the product for 2+ years.
The tool itself is not very difficult to use so training was not very useful in my opinion. It did not also account for success events more complex than a click (which my company being ecommerce is looking to examine more than a mere click).
Pardot's online training touches on all topics briefly and vaguely without much indepth exploration into how a final outcome could look, such as Nurturing Campaigns, Email templates, landing page templates, etc... The only true way to uncover Pardot's full capabilities is to have Front End design and coding experience. Without this key skill set, I would not recommend Pardot to another business.
In retrospect: - I think I should have stressed more demo's / workshopping with the Optimizely team at the start. I felt too confident during demo stages, and when came time to actually start, I was a bit lost. (The answer is likely I should have had them on-hand for our first install.. they offered but I thought I was OK.) - Really getting an understanding / asking them prior to install of how to make it really work for checkout pages / one that uses dynamic content or user interaction to determine what the UI does. Could have saved some time by addressing this at the beginning, as some things we needed to create on our site for Optimizely to "use" as a trigger for the variation test. - Having a number of planned/hoped-for tests already in-hand before working with Optimizely team. Sharing those thoughts with them would likely have started conversations on additional things we needed to do to make them work (rather than figuring that out during the actual builds). Since I had development time available, I could have added more things to the baseline installation since my developers were already "looking under the hood" of the site.
From an IT perspective, once you set up the Javascript beacon and start collecting data there is a waiting game. During this time you can start labeling your site actions which can be labor intensive for a single person, but you don't really have the final end-users on the platform yet. We did a lot of training so users were experienced, but it wasn't until they had their first tasks to accomplish that they started using the system and had questions. I'd recommend setting up some immediate goals for an end-user to start segmenting for the purpose of displaying message campaigns so you can jump start end-user action.
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.
The ability to do A/B testing in Optimizely along with the associated statistical modelling and audience segmentation means it is a much better solution than using something like Google Analytics were a lot more effort is required to identify and isolate the specific data you need to confidently make changes
We use Salesforce Marketing Cloud for lead management, generating reports, tracking customer and dealer information, inputting orders, and more. I prefer HubSpot for email marketing and automation because it is easier to use and the emails are designed much better. We currently use Salesforce and HubSpot, and we are very happy to have both, as they have different pros/cons.
We can use it flexibly across lines of business and have it in use across two departments. We have different use cases and slightly different outcomes, but can unify our results based on impact to the bottom line. Finally, we can generate value from anywhere in the org for any stakeholders as needed.
Prior to this, we had no solution and literally were doing things on paper in a world where technology is outpacing paper. Having this process optimized has made it easier for the sales and marketing people to change information. From the training perspective, it has allowed us to see holes in where we could create additional support training, so the ROI here has been a lot more than just the optimization of a process.
We're able to share definitive annualized revenue projections with our team, showing what would happen if we put a test into Production
Showing the results of a test on a new page or feature prior to full implementation on a site saves developer time (if a test proves the new element doesn't deliver a significant improvement.
Making a change via the WYSIWYG interface allows us to see multiple changes without developer intervention.
Salesforce Marketing Cloud allows us to more efficiently reach out to a higher number of prospects.
Salesforce Marketing Cloud allows us to nimbly communicate important messages in a timely fashion to facilitate conversion.
Salesforce Marketing Cloud allows us to track who is opening our messages so that we can stop sending to those not interested and focus on the most engaged audiences.
