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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Dynamic Yield
Score 9.0 out of 10
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Dynamic Yield is presented as an AI-powered Experience Optimization platform that delivers individualized experiences at every customer touchpoint: web, apps, email, kiosks, IoT, and call centers. The platform’s data management capabilities provide for a unified view of the customer, to allow the rapid and scalable creation of highly targeted digital interactions. Marketers, product managers, and engineers use Dynamic Yield for: Launching new personalization…
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 …
Key points that keep us close to Qubit are its knowledgeable resources, presentation and UI, ease of getting trained, ease of use, low time to market, analytics and reports.
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 …
Having previously used Maxymiser around 3 years ago, I found their setup to be geared more away from faster moving retail. While tests would be thoroughly researched and built to a high standard, the length of time to turn around a single test was too long. Qubit has allowed us …
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.
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 …
We previously used Monetate but that was before my time so it's tough to specifically compare. However, I think the fact that we're no longer with Monetate proves that Qubit has been a better partner overall.
Simple usability is a controlled group testing only. Qubit on the other hand allows you to run a test on a live site with traffic ranging from 5% to 95%
Qubit has a nicer UI than Google Tag Manager and offers the A/B testing that GTM doesn't - but for script management, there's not a lot to choose between them.
Qubit is probably the most powerful tool that we reviewed. The challenge is that with the power comes a large responsibility to make sure you are doing it right and not having issues. With digital tools, power and complexity seem to go together so you have to make sure that you …
I was not directly involved in the decision-making process but understand that overall functionality, data integration, and UX testing weighed against the cost of the solution were the deciding factors.
Qubit was the first CRO tool we have used, and have stuck with it, even though we've tested other platforms on our other websites. I think it's a testament to Qubit and their staff that they are still implemented on our largest website.
Primarily the strength of Qubit's data layer and therefore the ability to personalise and create seamless user journeys for our different customer segments.
The decision to use Qubit was made based on the capacity to run a 3 month test before committing for a longer term and down to a recommendation from a sister company.
We were not aware of some of the other offerings from Qubit so I think this is an area that could be improved upon. For us, Qubit is seen as an A/B testing tool more than anything else so I would say that the promotion of additional tools offered by Qubit is certainty something …
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 opted for Qubit due to their personalisation features compared to the other market offering, as we felt their Visitor Cloud was a USP in the industry. The Visitor Cloud allows further personalisations, such as social proofs, to complement internal data we have gathered and …
We selected Dynamic Yield because of Better Support & Partnership Experience, Superior Experimentation Capabilities, All-in-One Platform for Personalization, Testing, and Targeting
Its better suited then other tools with A/B testing, better hyper personalization, AI - driven …
It's mostly the speed and efficiency that make Dynamic Yield the go-to platform. It's very customizable, and tracking can be done in real-time, which is a strong point. Built-in component testing enables all team members to view and track changes easily. Not only that, it is a …
While each of the other platforms may have certain features or aspects that are stronger than Dynamic Yield, Dynamic Yield is certainly the best platform I've used of the ones listed. The ability to do both experimentation and personalization in one platform (and to have a tool …
Dynamic Yield has many more features than Google Optimize so this allowed us to hit many more use cases which may have previously been out of reach. We switched to Dynamic Yield after Google Optimize was shut down.
We can do a lot more with Dynamic Yield with not just the testing side of things but the product recommendations, personalisation and the out of the box features.
Dynamic Yield provides far more capability and ready-to-go templates for small-medium sized businesses, as well as decent API implementation for businesses who want to have a deeper integration. The ease of implementation and faster time-to-market is why we chose Dynamic Yield.
Dynamic Yield is leaps-and-bounds beyond other platforms when it comes to advanced capabilities. If all you want is to A/B tests two separate landing pages, it is probably overkill. If you want to optimize your customer's digital experience across audience-types, including …
No contest between Convert and Optimizely - those are very decent A/B test programs but also standard. The biggest contender was A/B Tasty and we chose DY due to the ease of client vs server side implementation within the platform and robust analytics/product recommendation …
You get a lot more for the amount you pay compared with similar offerings. The out of the box templates also make it easier to get started especially if there is limited engineering resource. Like that it supports testing / personalization / recommender at the same time.
Dynamic Yield has proven to surpass my experiences with both Optimizely and Braze in many ways - notably with contact time and support from the team, which has made a huge difference to the success of the tool for us. But also in my experience, I've found there to be a much …
We've used product recommendations through our website platform and while it was a couple of years ago and I can't remember exactly who we reviewed, we did compare Dynamic Yield to two or three other competitors before deciding to move forward with them.
Because you can use both personalization and A/B testing in one platform was the biggest reason for moving forward with Dynamic Yield. Also having a dedicated customer success manager was also a reason to move forward.
Dynamic Yield is easier to use and the customer support hands down is the best we have ever encountered. The out-of-the-box campaigns are greater and easier to use on Dynamic Yield.
DY can be linked to the product feed allowing use cases that are not possible on a simple testing solution. Also, DY is simple to use for the marketing team, there is no need for technical knowledge to set most of the experiences. To conclude, DY can be used as a CDP with a …
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.
It's ideal for testing continuous improvements in user experience - we're achieving good results from A/B testing and multivariate testing, and tracking the impact is very slick and compelling. We currently don't have any Dynamic Yield integrations set up for our app due to the complexities involved. We are also unable to track user behavior on platforms nested outside our domain (such as CTAs on our site that link to external booking engines).
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
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 impact (either positive or negative) of potentially overlapping campaigns, especially the UX personalization or custom code campaigns, may not be easily identifiable.
It would make more sense for the new deep-learning and machine learning (ML) driven strategies be made part of the standard offering, as opposed to positioning them as add-on subscription, given that many other completing services are baking in ML as part of their platform evolution.
The documentation on the API and custom code implementation can be fleshed out further.
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.
implementation took a long time but also, DY has really proven that they are transforming and adapting their platform to be more user friendly and the right technology choice for their brand or company
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!
Overall, the interface is not difficult to understand. Although to create campaigns or define strategies for recommendations, some study is required.
Also, some reports are hidden, you really need to know where to look in order to see them (e.g. strategies performance or email campaigns performance).
Also, there is a lack of context help that would improve a lot the usability, especially when you face a feature or a report for the first time.
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.
Allison Schwartz, Customer Success Manager at Dynamic Yield has been nothing less than amazing and stellar! She really sets the standard for customer success and support. Their technical support is fast and reliable, and their educational resources are top of the line
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.
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
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.
We selected Dynamic Yield because of Better Support & Partnership Experience, Superior Experimentation Capabilities, All-in-One Platform for Personalization, Testing, and Targeting Its better suited then other tools with A/B testing, better hyper personalization, AI - driven capabilities, low - code, better support
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.
Dynamic Yield supports us in our CRO offering as our optimisation platform of choice - we are leveraging this tool heavily in the application of these services - allowing us an ongoing income stream.
Dynamic Yields adds value to our clients - we can confidently recommend DY's recommendations and AI as better than those that are offered "out of the box" within Shopify. As a Shopify Plus agency, leveraging this better technology is often a quick way in which we can show almost immediate value to new clients to improve their conversion rate and revenue per user.