Contentsquare is a digital experience analytics cloud designed to help companies understand hidden customer behaviors, and use those insights to drive more successful experiences. It includes functionality from the former Clicktale heatmap, session recording, and A/B testing tool and now boasts a suite of customer journey analytic capabilities.
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Google Content Experiments (discontinued)
Score 7.3 out of 10
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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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Pricing
Contentsquare
Google Content Experiments (discontinued)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Contentsquare
Google Content Experiments (discontinued)
Free Trial
No
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Contentsquare
Google Content Experiments (discontinued)
Features
Contentsquare
Google Content Experiments (discontinued)
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Contentsquare
8.0
Ratings
5% above category average
Google Content Experiments (discontinued)
-
Ratings
Responsive Design for Web Access
8.00 Ratings
00 Ratings
Mobile Application
8.00 Ratings
00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile
8.00 Ratings
00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Contentsquare
9.7
Ratings
3% above category average
Google Content Experiments (discontinued)
9.9
Ratings
16% above category average
Heatmap tool
8.00 Ratings
00 Ratings
Click analytics
10.00 Ratings
10.00 Ratings
Scroll maps
10.00 Ratings
00 Ratings
Conversion tracking
10.00 Ratings
10.00 Ratings
Goal tracking
10.00 Ratings
10.00 Ratings
Session Recording and Replay
10.00 Ratings
00 Ratings
User Segmentation
10.00 Ratings
00 Ratings
Form fill analysis
00 Ratings
10.00 Ratings
Test reporting
00 Ratings
9.00 Ratings
Results segmentation
00 Ratings
10.00 Ratings
CSV export
00 Ratings
10.00 Ratings
Experiments results dashboard
00 Ratings
10.00 Ratings
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Contentsquare
-
Ratings
Google Content Experiments (discontinued)
9.2
Ratings
11% above category average
a/b experiment testing
00 Ratings
9.00 Ratings
Split URL testing
00 Ratings
10.00 Ratings
Multivariate testing
00 Ratings
10.00 Ratings
Multi-page/funnel testing
00 Ratings
9.00 Ratings
Cross-browser testing
00 Ratings
8.00 Ratings
Mobile app testing
00 Ratings
8.00 Ratings
Test significance
00 Ratings
9.00 Ratings
Visual / WYSIWYG editor
00 Ratings
10.00 Ratings
Advanced code editor
00 Ratings
9.00 Ratings
Page surveys
00 Ratings
8.00 Ratings
Visitor recordings
00 Ratings
8.00 Ratings
Preview mode
00 Ratings
8.00 Ratings
Test duration calculator
00 Ratings
10.00 Ratings
Experiment scheduler
00 Ratings
10.00 Ratings
Experiment workflow and approval
00 Ratings
8.00 Ratings
Dynamic experiment activation
00 Ratings
10.00 Ratings
Client-side tests
00 Ratings
10.00 Ratings
Server-side tests
00 Ratings
10.00 Ratings
Mutually exclusive tests
00 Ratings
10.00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
It is well suited to businesses with a full time web analyst that will be using the tools to create actionable reports that drive action in the company. It is less appropriate where companies are just looking for some new tools and it will be forgotten soon after implementation. If a website is critical to your business and you have dedicated resources or consultants to help you understand the data, then it is invaluable. I love it.
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.
The qualitative aspects of user experience are very well captured by ClickTale. We can get solid actionable insights through the various dashboards which track mouse movements, clicks, scrolls, etc.
The visual conversion funnels give a very good high level view of landing page performance and how they work together.
The video recordings are especially helpful. The user behavior captured is especially helpful in making decisions about user interface - form fields, call to actions, etc.
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.
For small companies with limited user testing budgets, ClickTale serves as a useful user testing tool. When I cannot get the funds for in depth user testing, I always know that I have a baseline of information I can rely on
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.
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.
ContentSquare [(Clicktale)] is going deeper on UX understanding than traditional web analytics tools. You can truly understand how a page is used (where users click or even miss click, on which part of the page they are spending most of their time, if some links are clicked but bad positioned on the page...), and that's a thing you can't really measure trough a traditional web analytics tool.
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.
I learned how effective some of our image carousels were. How only 10% of a page visitors were being exposed to only the first slide. People were scrolling down or leaving the page without ever being exposed to 90% of the content. Once I provided this input to stakeholders it was an easy sell to redesign this aspect of the page.
I used the mouse-move heat map to analyze user interaction with the footer. Showing stakeholders the before and after redesign heat maps did wonders for improving my credibility as an usability analyst.
We used Clicktale to help analyze our 404 error page effectiveness. Our redesign gave us a 14% lower bounce rate on our redesigned 404 error page. Stakeholders appreciated a quantitative measure to gauge the success of that project.
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.