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 7.8 out of 10
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Optimizely Web Experimentation is a website optimization platform, providing A/B and multivariate testing. It enables users with and without technical expertise to make dynamic changes to their websites, test the variations to live traffic and gather immediate results.
As alternatives to Qubit, we considered: * Optimizely: more limited personalisation options, more expensive to be used across different sites. * Maxymiser: more expensive.
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 …
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'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.
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 …
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 …
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.
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.
Optimizely is a great A/B testing tool for any size business. The Optimizely platform democratizes A/B testing through a simple interface, excellent training tools, easy implementation and low dependence on IT resources. Utilizing Optimizely I've been able to run robust experimentation programs with a variety of resources (acting as a 1-person team with limited access to IT resources as well as managing a team with high access to resources). Additionally, Optimizely is well-priced and positioned to be affordable for a variety of business sizes.
Qubit platform uses solid testing algorithms and delivers reliable reporting and analytics of testing campaigns. The dashboard section is easy to use and provides a good high level overview of the core campaign metric performances.
On-boarding and implementation of Qubit technology was painless and well handed throughout the entire process even with more complicated platforms.
Turn-around time for development and testing of campaigns is extremely fast. This enables the business to have a much higher throughput of tests and allows for quick validation of ideas rather than having to wait for months before a test is ready to go live on production site.
Optimizely makes it extremely easy to setup almost any type of split or multi-variate testing experiment. It has a variety of test triggers types & many ways to segment incoming visitors.
I believe Optimizely's results dashboard is one of the best among split testing software. It allowed my team to get insights into the running of tests, like time to significance and a view of metric changes over time.
Optimizely is very easy to use for non-engineers. It has a powerful visual interface that allows marketers and advertisers to setup complex variations without 1 line of code.
In terms of documentation and implementation, I believe Optimizely is ahead of its competitors in terms of its focus on reliability and speed.
While they do work very closely with us, especially our success manager, more involvement on a technical level or a dedicated engineer, would be a great advantage. We develop a lot of experiences in house and, like all companies that dev in house, we have our own way of working. A dedicated engineer that got to know us better as well and understood how we work could only help. Sometimes, a few errors can get through QA due to this.
Actual creation of an A/B test is confusing and difficult (like the differences between Pages vs URLs etc.).
Setting up a URL Redirect Experiment is so convoluted it seems like it's not even a feature Optimizely wants you to use. Instead, it's like I'm tricking Optimizely into alternating between 2 URLs. That really needs to be cleaned up as it would be very helpful.
Qubit is currently providing resources and support we do not have internally. Our relationship managers are exceptional and I feel well informed and well supported by their team. The tool is nice, but our contacts from the company are the real reason to maintain our relationship. They work hard for clarity and continue to help us push for additional opportunities.
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.
Very simple user interface, built on top of advanced functionality, makes the platform easy to use. The team at Qubit are also very open to feedback and introduce new and useful features fairly often. On the reporting side, the inbuilt dashboard reports are good for a top-level view of test results, and Qubit have made a lot of their output data available should you wish to run your own analysis
Without a doubt, after 8 years using various different testing tools, Optimizely is by far the easiest to use. Feedback from developers and more technical teams has always been positive, mostly due to the code editor allowing for easy implementation along with the creation of advanced audience segments using advanced javascript. For business users and non-technical people, the wysiwig editor allows for smaller changes to be made quickly whilst somewhat educating the user on the types of code changes that are being made.
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.
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).
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
In retrospect: - I think I should have stressed more demo's / workshopping with the Optimizely team at the start. I felt too confident during demo stages, and when came time to actually start, I was a bit lost. (The answer is likely I should have had them on-hand for our first install.. they offered but I thought I was OK.) - Really getting an understanding / asking them prior to install of how to make it really work for checkout pages / one that uses dynamic content or user interaction to determine what the UI does. Could have saved some time by addressing this at the beginning, as some things we needed to create on our site for Optimizely to "use" as a trigger for the variation test. - Having a number of planned/hoped-for tests already in-hand before working with Optimizely team. Sharing those thoughts with them would likely have started conversations on additional things we needed to do to make them work (rather than figuring that out during the actual builds). Since I had development time available, I could have added more things to the baseline installation since my developers were already "looking under the hood" of the site.
At the time of taking the product, we found no comparable alternatives. Since then, the product has only grown from strength to strength, so it still does not have any comparable competitors that offer both the technical product and business knowledge that Qubit can. Google appear to offering a competing product which may be one to watch in future, and something for Qubit to keep an eye on
I think that Optimizely is more user-friendly than Adobe and Monetate, for example - Adobe is really suited for people with deep pockets and a distinct technical acumen that may not be suitable for a small business. Montetate is not user-friendly - even for seasoned marketers. Apptemize is a pretty great product but they killed their free product. Like Optimzely, they seem to be shooting for enterprise-level clients.
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 all you need to design, install, analyze and measure simple tests with Optimizely. When test complexity increases, it becomes necessary to integrate third party analytics tools to perform more detailed analysis such as additional details like page views, average time spent on each page, and bounce rates by variation. Optimizely has very straightforward integrations, so integration with analytics is straightforward.
Optimizely has had a tremendous positive impact on the ROI of our clients. Whether you're just starting your testing program and just want to get your feet wet with a few simple WYSIWYG tests, or you're ready to dive in to complex MVT test designs and Personalization Campaigns, Optimizely has everything you need to create, and maintain, a highly successful testing center.
