Google Content Experiments (discontinued) vs. Neurons Predict

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Content Experiments (discontinued)
Score 7.3 out of 10
N/A
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.N/A
Neurons Predict
Score 8.0 out of 10
N/A
Predict is a cloud-based AI tool that predicts customer responses using a database of over 20.000 participants. It provides validated heatmaps and cognitive scores to draw attention to creative content. Users can drag and drop visual assets to test and measure attention. Unlimited storage allows users to compare as many visuals as desired. Users can draw specific areas to measure the performance and optimize it for the best results. Do A/B…N/A
Pricing
Google Content Experiments (discontinued)Neurons Predict
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Google Content Experiments (discontinued)Neurons Predict
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Google Content Experiments (discontinued)Neurons Predict
Considered Both Products
Google Content Experiments (discontinued)
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 …
Chose Google Content Experiments (discontinued)
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 …
Chose Google Content Experiments (discontinued)
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.
Chose Google Content Experiments (discontinued)
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 …
Chose Google Content Experiments (discontinued)
I have not used any alternatives. I only use Content Experiments because it is in GA.
Chose Google Content Experiments (discontinued)
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.
Chose Google Content Experiments (discontinued)
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.
Chose Google Content Experiments (discontinued)
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.
Chose Google Content Experiments (discontinued)
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 …
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.
Chose Google Content Experiments (discontinued)
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 …
Neurons Predict

No answer on this topic

Features
Google Content Experiments (discontinued)Neurons Predict
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Google Content Experiments (discontinued)
9.2
Ratings
9% above category average
Neurons Predict
7.0
Ratings
18% below category average
a/b experiment testing9.00 Ratings8.00 Ratings
Split URL testing10.00 Ratings5.00 Ratings
Multivariate testing10.00 Ratings8.00 Ratings
Multi-page/funnel testing9.00 Ratings00 Ratings
Cross-browser testing8.00 Ratings00 Ratings
Mobile app testing8.00 Ratings00 Ratings
Test significance9.00 Ratings00 Ratings
Visual / WYSIWYG editor10.00 Ratings00 Ratings
Advanced code editor9.00 Ratings00 Ratings
Page surveys8.00 Ratings00 Ratings
Visitor recordings8.00 Ratings00 Ratings
Preview mode8.00 Ratings00 Ratings
Test duration calculator10.00 Ratings00 Ratings
Experiment scheduler10.00 Ratings00 Ratings
Experiment workflow and approval8.00 Ratings00 Ratings
Dynamic experiment activation10.00 Ratings00 Ratings
Client-side tests10.00 Ratings00 Ratings
Server-side tests10.00 Ratings00 Ratings
Mutually exclusive tests10.00 Ratings00 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Google Content Experiments (discontinued)
10.0
Ratings
13% above category average
Neurons Predict
-
Ratings
Standard visitor segmentation10.00 Ratings00 Ratings
Behavioral visitor segmentation10.00 Ratings00 Ratings
Traffic allocation control10.00 Ratings00 Ratings
Website personalization10.00 Ratings00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
Google Content Experiments (discontinued)
9.9
Ratings
14% above category average
Neurons Predict
6.0
Ratings
36% below category average
Click analytics10.00 Ratings00 Ratings
Form fill analysis10.00 Ratings00 Ratings
Conversion tracking10.00 Ratings00 Ratings
Goal tracking10.00 Ratings00 Ratings
Test reporting9.00 Ratings00 Ratings
Results segmentation10.00 Ratings00 Ratings
CSV export10.00 Ratings00 Ratings
Experiments results dashboard10.00 Ratings00 Ratings
Heatmap tool00 Ratings6.00 Ratings
Best Alternatives
Google Content Experiments (discontinued)Neurons Predict
Small Businesses
Convert Experiences
Convert Experiences
Score 9.9 out of 10
Convert Experiences
Convert Experiences
Score 9.9 out of 10
Medium-sized Companies
Dynamic Yield
Dynamic Yield
Score 9.0 out of 10
Dynamic Yield
Dynamic Yield
Score 9.0 out of 10
Enterprises
Dynamic Yield
Dynamic Yield
Score 9.0 out of 10
Dynamic Yield
Dynamic Yield
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Google Content Experiments (discontinued)Neurons Predict
Likelihood to Recommend
9.0
(0 ratings)
8.0
(0 ratings)
Likelihood to Renew
7.5
(0 ratings)
-
(0 ratings)
Support Rating
8.0
(0 ratings)
-
(0 ratings)
User Testimonials
Google Content Experiments (discontinued)Neurons Predict
Likelihood to Recommend
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.
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Manage the organization to save time and become more proactive and resolve the multiple issues
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Pros
  • 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.
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Cons
  • 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.
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Likelihood to Renew
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.
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Support Rating
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.
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Alternatives Considered
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.
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Return on Investment
  • 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.
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ScreenShots

Neurons Predict Screenshots

Screenshot of The dashboard on the left upper side has the original photo, heatmap and  fogmap buttons. The downside has options to move + resize, draw and draw polygon.  Bellow, there are Cognitive Demand and Focus metrics. On the right side, there are drawn AOI (area of interest) which indicates the performance of each AOI and can be turned on and off on the image.Screenshot of It is possible to compare two visual assets and measure the attention performance to optimize for the best results and compare your visuals with competitor visuals.