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.
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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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Pricing
Chartbeat
Optimizely Web Experimentation
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Chartbeat
Optimizely Web Experimentation
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
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 …
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 …
I do not have any issues with AB Tasty. They are great. We went with Optimizely because they have several other products that will work together with our business model. Optimizely has grown and it now offers many other products that work with experimentation like CMS, CMP, ODP …
Optimizely is highly intuitive, allowing marketers or non-technical folks to run experiments without complicated coding. It also allows for various types of experimentation, including A/B tests, multivariate tests, and personalization. This capability will enable teams to run …
None of them have a best in class stats engine and live within an ecosystem of marketing technology products the way that Optimizely does, so the scalability of using any one of those tools is limited as compared to using Optimizely Web Experimentation.
It's a lot more, well, site stacked, it's way better than that. Adobe Target. I think the UI is easier to use on Optimizely. The one thing that I would say comparatively is our analytics talking to each other. Obviously Adobe, we use Adobe Analytics and Adobe Target, so they …
Optimizely is more user-friendly and cost-effective, ideal for experimentation-focused teams, while Adobe Target excels in advanced personalization and seamless integration within the Adobe ecosystem, making it better suited for large enterprises.
Optimizely Web Experimentation was more robust and able to handle the broad array of sites we run than VWO. It has been a great platform to easily add additional sites onto, but still providing a universal overview of all of them, making management a simple task.
we used Optimizely Web Experimentation then AB Tasty but came back to Optimizley because of its robust stat sig and features as well as all of the products we will be able to work in synchronization.
I think that Optimizely Web Experimentation is much easier to implement and use, but the entire Adobe Experience Cloud provides a ton of value if you have multiple products.
Honestly, Optimizely Web Experimentation has its pros and cons just like any other tool. We use Optimizely because we have resources here in the country that can help us when e have issues. The support team being local helps a lot so we don't have long wait times to get things …
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.
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.
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.
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.
The results view is dense and difficult to package easily for leadership, and when filtering by segment it's hard to read comparative outcomes without clearing or swapping filters
The organization of experiments and statuses is a cluttered list and the search is limited in use - would love to see that improve with time
There are so many other MarTech products out there, would love to see more dedicated integrations so we don't have to invest in something like Zapier or Tray to build hacky automations
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.
Because it's an incredible and essential tool for my line of work as a conversion optimization specialist. Really couldn't do my job nearly as effectively without it. It's paid for itself many times over and I feel like I'm only beginning to unlock the tools potential.
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.
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.
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.
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.
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.
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.
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).
The implementation through the tag management system took a bit of trial and error at first, mostly due to the asynchronous nature of the TMS. We had to manipulate the implementation to assure that the Optimizely code was written to the page at the right time to allow the experiment content load in the browser without showing any of the original content first. We also needed to make some adjustments to the TMS code to get the integration with Site Catalyst timed appropriately.
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
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
It's incredibly flexible and adapts well to organizations of all sizes, whether you’re running a single site or managing multiple departments and platforms. The ability to deploy experiments seamlessly across different environments is a huge plus, especially for growing businesses. While it’s highly scalable, the last point would depend on the right team leveraging its full potential.
