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…
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Kibo eCommerce
Score 7.5 out of 10
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Kibo Software offers Kibo eCommerce (formerly Mozu), designed to support retailers with online offer creation and deployment, content publishing and landing pages, and many tools and widgets out of the box with a retail-oriented ecommerce solution.
Mozu was acquired by Kibo Software from Volusion in October 2016.
Dynamic Yield is great for just about any sized organization, though to get the best bang for your buck, I recommend having a front-end web developer well-versed in JavaScript. Additionally, a front-end web designer would be advisable as well as their templates have great functions but some have lackluster UI's that can't be tweaked without developer assistance. Were it not for the above + the occassional slowness on the console/admin-side of the platform, I'd give it a 10. If you have a front-end dev/designer, then it's closer to a 9.5. Ideal utilization scenarios could include: Personalization, CRO/UX/UI testing, and audience or user-level tailored digital experience.
The platform has flexibility at its core and we have made full use of that capability. Even if Kibo [eCommerce] hasn't been ready to provide features and functions we need, we have the opportunity to build them ourselves. The platform started as Mozu and while it was relatively well-developed for DTC, it lacked a lot of basic B2B functionality. As a result, when we were ready to move into that arena, we built a lot for ourselves (including a multi-level account system and a tool to manage it). Keep in mind, too, that Kibo eCommerce is part of a larger suite of tools. The company has purchased a mobile Point-of-Sale system, Baynote, Certona, Monetate, and an OMS. If you need a full-scale solution, they can offer a lot. As I mentioned previously, their support and documentation need shoring up. They're not terrible, but they hinder (rather than help) when it comes to fulfilling the platform's promise of letting the customers be self-service in building out their capabilities.
Provide fantastic support, both in relation to strategy/best practice and troubleshooting.
An easy to use interface, as a user who is relatively new to Dynamic Yield I find that it is an intuitive platform to use.
The ability to segment and drill down on data allows for really specific insights which, whilst not necessarily being leveraged on a testing basis, can be super valuable from a greater marketing perspective.
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.
Prebuilt Integration - There is not currently a large number of preexisting integrations, but custom integrations are fairly quick
Time to Deploy - Don't get me wrong, We have deployed in the timeline we expected, but if you are trying to get something off the ground fast, Kibo might not be right for you. It is a robust platform that take some time to get up and running.
Complicated Shipping - if you have a complicated shipped process, you might want to look for a tool to help, Kibo does not have very robust out of the box shipping capabilities.
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
Setting up strategies, audiences, and experiences is simple and fast. It is incredibly easy to modify the appearance of your site and optimize every aspect with the Dynamic Yield Personalizations. However, while the data visualization on an experience level is easy to modify and analyze, exporting the data in meaningful ways is time consuming.
Overall, the support is very good. If you are a partner (my case), they assign you a customer success manager, that helps a lot. Also, there is a technical person to provide support to the partners, again a great help.
My only "complain" is that with some complex issues, the support may delay in providing you with a solution. Sometimes that can cause some tension with your client.
One positive note is that I have always been able to get someone on the phone in support whenever I have called, even at 1 AM. Getting someone on the phone is only half the battle though. In the first few months of using Mozu it often seemed that support didn’t know anymore about Mozu than we did. This has slowly started to change, but as a daily user you are likely to be on par with support in terms of knowing what to do when you encounter a problem. The support phone number is really most useful for having them put in a support ticket for you rather than typing it all out yourself and emailing it. It is very rare that the support reps are actually empowered to solve the problem at hand. Unless the issue you are having is user error, they will just take your information and pass it on the proper department. Your request or problem will then be ignored for months on end. Some day, it might actually get fixed but you are unlikely to be notified that this has happened. Most of these issues are assigned an internal ID that they use for tracking. Support is more than happy to pass this ID along, but it is useless. There is no way to actually see where the issue lies in the endless queue of similar issues.
At the time of our implementation Mozu did not have any processes or procedures set up around going live. We basically were forced to just wing it and hope for the best
Oracle Maxymiser is very clunky and hard to code with. Previewing changes was a challenge and development for fixes were slow
Optimizely - Great for coding. Fast and efficient. Everything worked great. They were limited at personalization triggers though and their costs were expensive.
Monetate - Evaluated but their UI was hard to use.
We had a custom, in-house ecommerce website before moving to Kibo. It was brittle, slow, and wasn't going to scale nearly well enough or fast enough to keep up with our requirements
Most tests have had a positive impact on either revenue or conversion rate - quite often in double digits.
Dynamic Yield has also helped us to stop some particular initiatives through direct interaction with the customer base via questionnaires or by a test proving negative quicker than rolling out a permanent feature.
