Chartbeat delivers real-time analytics, insights, and transformative tools for content teams around the world, to help improve audience engagement, inform editorial decisions, and increase loyalty.
N/A
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
Pricing
Chartbeat
Google Content Experiments (discontinued)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Chartbeat
Google Content Experiments (discontinued)
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Chartbeat pricing is based on monthly site page views. Discounts are applied to multi-year contracts. The Basic Plan includes the Real-time Dashboard, Historical Dashboard, Heads Up Display, Reports, Big Board, iOS and Android app, and Real-time API endpoints.
The Plus Plan includes all of the Basic Plan features, plus ONE of the following Premium features: Headline Testing, Advanced Queries, or Multi-Site View.
The Premium Plan includes all of the Basic Plan features, plus ALL Premium features: Headline Testing, Advanced Queries, Multi-Site View, and enterprise-level support and custom trainings.
We use Chartbeat in conjuction with these tools. Chartbeat is forward facing and we encourage everyone in the newsroom to use it. It provides the best live view, but lacks depth needed for more longer-term trend reporting and analysis. Domo allows much more advanced data …
Google Analytics 360 had problems, but after it was discontinued, Google Analytics became a shell of its former self. An added benefit of Chartbeat is that it's more "live" (looking at live concurrents rather than in the past however many minutes) and tells you how that number …
We use Chartbeat for real-time evaluation and Adobe Analytics for longer-term performance reporting. Chartbeat is easier to use overall, particularly for content producers. Researchers tend to rely on Adobe Analytics for their reports. We have found that we need to keep using …
Google Analytics has gradually become much more difficult to use, and much slower in its realtime reporting. It was the changes that came in with Google Analytics 4 that gave us the final push to work with Chartbeat - a product some of us were already familiar with from …
Omnilytics is more robust, detailed, and catered for an intermediate media user, while I think Chartbeat is a more user-friendly and beginner-oriented piece of technology. That being said, there is an impressive amount of lift for Chartbeat, and it's evident that simplicity is …
I used Parse.ly before I used Chartbeat. We shifted away from Parse.ly because it's social standing wasn't as good, it was mostly for site readership and we needed a bigger concentration on social media that Parse.ly couldn't provide. It's not listed, but we now use Social Flow …
Chartbeat stands out in terms of real-time tracking and information from which to manage homepages, I found this better than Smart Octo's equivalent. However, the ability to quickly explore past data does not go as deep as Google Analytics.
Chartbeat is better than GA when it comes to ease of use and immediacy. The homepage layover that Chartbeat offers is unique from what I've seen and gives me an instant knowledge of what's working on my site and how to best arrange it.
Other products like Chartbeat that I've used are Parse.ly, GA, and Omniture. Parse.ly is the only tool, in my opinion, that offers more real-time data, but the interface is lacking and isn't as intuitive as Chartbeat.
Chartbeat is certainly better at visualizing content and segmenting the data all on one screen. We can filter by section, author, channel and more without leaving the main dashboard page. Combining properties together in roll up groups is another key feature. We're able to …
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 …
Features
Chartbeat
Google Content Experiments (discontinued)
Web Analytics
Comparison of Web Analytics features of Product A and Product B
Chartbeat
7.4
Ratings
8% below category average
Google Content Experiments (discontinued)
-
Ratings
Lead Conversion Tracking
6.10 Ratings
00 Ratings
Bounce Rate Measurement
6.70 Ratings
00 Ratings
Device and Browser Reporting
6.90 Ratings
00 Ratings
Pageview Tracking
7.80 Ratings
00 Ratings
Event Tracking
7.10 Ratings
00 Ratings
Reporting in real-time
9.10 Ratings
00 Ratings
Referral Source Tracking
8.00 Ratings
00 Ratings
Customizable Dashboards
7.60 Ratings
00 Ratings
Testing and Experimentation
Comparison of Testing and Experimentation features of Product A and Product B
Chartbeat
-
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
Chartbeat
-
Ratings
Google Content Experiments (discontinued)
10.0
Ratings
16% above category average
Standard visitor segmentation
00 Ratings
10.00 Ratings
Behavioral visitor segmentation
00 Ratings
10.00 Ratings
Traffic allocation control
00 Ratings
10.00 Ratings
Website personalization
00 Ratings
10.00 Ratings
Results and Analysis
Comparison of Results and Analysis features of Product A and Product B
It is well suited to keeping me toward a specified goal, and gives me concrete numbers and gives me an idea of what we need to do to meet our goals. It's less appropriate if you want something more than pageviews, and doesn't really do a lot for video views.
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.
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.
Source of traffic needs improvement. Search and social make sense, but "internal" and "links" is a grey area. It would be helpful to define those with an organization and provide an information icon so users can easily remember what each of those buckets is tracking.
More ways to customize the real-time board. For example, with video content, that's great that I can see a user has started a video, but what is the completion rate, was that only on O&O or can that track Facebook, too?
Would like to see demo (age) information included as a way to slice the data so I can see what's working with my older and younger demo.
I gave Chartbeat a 5 for a renewal rating, because, while it delivers clear and understandable content, Google Analytics also provides many of the same features for free. For a small to medium website, I believe it would be more cost effective to use Google Analytics. A website with a high amount of traffic, however, could merit spending the money on Chartbeat to maximize their potential.
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.
Chartbeat is really pretty straightforward. The only things that may cause confusion are the string of sidebar features and tools at the left of the screen. I mostly use the big leader board in real-time and the historical feature (looking at the monthly or weekly performance of my team's content) and then generate reports automatically from there.
I have had limited experience of support for Chartbeat but whenever I have needed help it has been there. Recently there was an issue of seeing different forms of data in real time - app and otherwise effectively, and the issue was being clearly dealt with and communicated back to us.
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.
Google Analytics has gradually become much more difficult to use, and much slower in its realtime reporting. It was the changes that came in with Google Analytics 4 that gave us the final push to work with Chartbeat - a product some of us were already familiar with from previous jobs. Things are just much harder to find in GA, and when time is always tight you can't afford to spend a long time looking for particular data - it should be quick and easy to locate
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.
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.