Qubit, now from Coveo (acquired October 2021) uses visitor history data to understand different user segments and serve personalized messages to segments using JavaScript. It is available as either a managed or self-service model. Data is collected using Qubit's own Universal Variable data model, or by integrating the user's existing model via our API. It combines quantitative data with qualitative visitor feedback to give Qubit users the ability to detect areas for optimization.
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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.
In my previous company one of the brands was using Optimizely, while the brand I was working for was using Qubit. Qubit proved to be so much more than a multi-variant platform. It was much easier to use - we didn't have to rely on the tech team to implement tests. This way we …
We're using Qubit as a fully managed testing platform, and their account management and level of service we've received from any other contact (technical, support, sales etc) was above any of their competitors. Integration and on-boarding was well done and we feel confident …
As alternatives to Qubit, we considered: * Optimizely: more limited personalisation options, more expensive to be used across different sites. * Maxymiser: more expensive.
We've chosen Qubit because of the data driven approach, ease of use and the offered support. We like the ability to build some tests externally with the Qubit help.
Our company decided to choose Qubit due to its perceived similarly to Optimizely and promise infinite integrations through open tag. Sadly it didn't live up to its promise. The integrations were not integrations as most people would understand it. It was all very manual and you …
We chose qubit because of the data they capture on our users. Presumably, we can use that data to segment our audiences and significantly improve conversion rates - we're just starting to do that now. Most of our success with qubit has been on the acquisition side, testing …
Qubit is a great choice for A/B testing where advanced JavaScript capabilities are required. This is especially true for large "legacy" sites that have a ton of on-site JavaScript that has culminated over years, often overriding changes made in a WYSIWYG or "basic mode" editor …
The decision to proceed with Qubit over other products was because of strengths on sample size and statistical significance of test results. The expertise, professionalism and enthusiam of their consultants and strategists was also a factor.
We went with Qubit because we needed to leverage their full service tech team. We had scarce resources to complete the technical side of A/B testing and it was an area we felt they excelled. And they did. It was extremely helpful. On the tests that worked and proved to have …
Qubit was already in place when I joined the company, however I understand that the managed solution and consultation played a big part in the decision.
We chose to add Qubit to our suite of testing platforms based on their ability to reduce our reliance on internal resources. While other products provided professional services, Qubit's offering felt more strongly geared toward an organization that needed to produce many tests …
Coveo Qubit is a very helpful platform mainly for organizations that need to provide a solid business model before carrying out any implementation or new functionality. In addition, it is a very good tool to generate changes and show different content to different types of clients, with their personalization and segmentation criteria.It is ideal for simultaneous testing and customization, only one of these activities individually is not recommended.
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 testing platform itself is continually evolving. This means that we are always able to try new ideas as well as quickly and efficiently put others into practice.
The beta programme and the additional functionality products are both exciting to see as well as ensuring we can cherry pick the functionality we need. This means that we don't end up paying for functionality we don't need
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.
Some of the reporting within Qubit has been overly simplified in the past, a point they are continually addressing.
At times the syntax of experience (test) creation can be specific to Qubit and so there is a slight learning curve for developers.
Unless developers have much time to allocate to creating tests in Qubit, marketers may potentially find simple tests limited. I would recommend having someone in-house as we do.
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
Qubit helps out immensely and lays out in plain English the profitability of each of our A-B tests. Say Qubit has provided us overall with a 5% profit increase this year (that is a completely arbitrary figure for illustration only), then if we didn't renew it could be seen as us taking a 5% loss as Qubit wouldn't be there. The results of our tests are showing no slowing down and as Qubit and Toast grow to understand each other better we can only see our performance getting better as the years go on.
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.
Overall navigation on Qubit is very user friendly and requires a minimal training to be up and running. Be it reviewing existing experiences or setting up new experiences, the process is pretty simple for business user. Add some basic development skills to your kitty, you can do magic with Qubit and make your website do wonders!
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 say that the Qubit account managers are always available for any request. We have a lot of different promotions that could always do with last minute optimizing or changes and Qubit can be relied on to get this changes up and running in an impressive amount of time, so that we don't need to patch live or wait for the next IT sprint. Invaluable to our business.
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.
Technology is good for A/B testing and personalisation - allowing any team with a dedicated developer to create test relatively easily and to report/analyse them in a fair amount of details. Some advanced features, especially on the set up of test cells, are dearly missing. Unfortunately, new features are often not free of bugs... Also, support is sub-par, which means new features are realised without proper documentation, example or training (but of our Qubit counterparts and internally).
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.
Qubit are supportive and flexible in providing support. They are happy working out of usual hours, even on weekends and if I have any doubts about the set up of an experience they’re quick to respond and willing to check my work. On particularly big revenue days they monitor our account and they’re quick to identify and problem solve any issues.
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 training was great, but would be great to have a script or PDF with some explanations of the qubit JS layer. Without the script you can just try to learn on your own, so the training is not as powerfull as it could be. On the other hand - would be great to have training related to reading statistics or personalisation.
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).
Implementation couldn't be easier. All we needed to do was insert the tag. (easy) and set up the data layer. (dev required) This was pretty smooth in comparison to some of the other tools we use on our site, and was done in less than a day. Note : Data needs to be collected for a set period of time before you can accurately rely on the data that you are receiving. This is normal though with everyone else that we have used
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.
We're using Qubit as a fully managed testing platform, and their account management and level of service we've received from any other contact (technical, support, sales etc) was above any of their competitors. Integration and on-boarding was well done and we feel confident that the campaigns are developed and tested thoroughly.
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
Our requirements change throughout the year like most E Commerce retailers. At Christmas and Peak we're dealing with around ten times the usual traffic on the site. Qubit had no problems with this at all, tests continued to fire, and stats were still reported accurately. I don't think that it is the most server intensive .js anyway, but we have seen no issues at all.
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.
