Dynamic Yield calls itself an AI-powered Experience Optimization platform that promises to deliver 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, allowing 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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Google Analytics 360
Score 8.5 out of 10
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Google Analytics 360 (formerly Google Analytics Premium) is an enterprise-level analytics solution that includes a full service suite of features offering a singular view of the consumer across platforms and devices. It also provides full integration with the Google stack, data-driven attribution, and the ability to optimize site content through content experiments.
We moved from Qubit to Dynamic Yield for a number of reasons. Qubit was very clunky, had limited out-the-box capabilities and thus required a wait for coders to build tests or make small site changes. The features they intended to be quick and easy to use were invariably not, …
Now I have a single centralized tool for several things while before we had to maintain at least 3 tools to do what we are currently doing with Dynamic Yield. Having a single tool helped us a lot also in increasing our level of precision and to avoid fixes across different …
[It has] the most confident functionality of use cases. It's hard to implement something and it does not work because of something wrong on the Dynamic Yield side.
First of all, the other tools we looked at was more focused on A/B testing and personalization but one of the that we loved immediately of Dynamic Yield was the recommendation engine: given that we were missing such a feature in our e-commerce, that really made the difference.
We’re running on a Single Page Application, so we were looking to partner with a technology vendor who can seamlessly integrate with SPA environments and allow us to dynamically modify, test, and personalize various elements on our app screens. Prior to Dynamic Yield, we were working with Optimizely and encountered huge challenges integrating with our SPA infrastructure.
I think this is a great platform as long as there is a dedicated team which is going to spend reviewing the data and also taking out insights from it, making it beneficial. It was well suited for me when working with a client that had a very large amount of traffic, with a large range of complex products on offer. This tool allowed us to be able to do more with the data and segmenting it more which ultimately drove our relationship forward, but also the results that we saw
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.
It is an excellent cloud analytics platform that is easy to install and configure and easy to deploy and use, allowing us to measure web traffic and other tools.
It is an entirely online tool; it does not take up hard disk space like other desktop tools.
Since this tool is draggable, Google is constantly adding more features.
Even beginners who do not have a custom dashboard can get information. If there is a problem somewhere on the site that needs to be investigated, Google Analytics 360 will notify you.
Greater flexibility for the out of the box templates - things such as typeface are not consistent and can require developer time to ensure a seamless site experience
Exporting datasets don't necessarily reflect the way Dyanmic Yield is implemented on site, occasionally requiring that you go through experience by experience to extract the data you want
I would like to see a more customizable homepage dashboard with the ability to modify the content of widgets, showing trends across multiple experiences rather than just being able to update the timeframe for a widget between Yesterday, Past 7 Days, or Past 30 Days before having to deep dive into a full report
Google Analytics can be difficult to understand. Not everyone is a whiz at analytics and you really need someone to help set it up for you and explain it to you.
Unless you hire someone to help you set it up, Google Analytics 360 can be overwhelming. It almost provides TOO much information, some of which isn't applicable to most users.
It would be nice if Google Analytics 360 would provide a "lite" version - or boil it down to the things most people want and need to know.
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
Google Analytics 360 is an upgraded version of the most widely used web/app analytics tracking tools in the market. The price is stable and predictable making it a long-term product of choice. It's easy to use and pairs so well with other Google Marketing Platform products.
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.
The UI is very easy to navigate and use. The features are well designed and intuitive. As long as the user has a good understanding of basic digital analytics definitions and capabilities, this tool should be quite easy to use. I consider Google Analytics Premium to be the easiest of all of the enterprise solutions out there to use.
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
If you purchase Premium through a reseller like LunaMetrics, you are going to be taken care of. The additional amount of support and services that a reseller provides to make sure you have the best experience with the product is the reason why the reseller program exists to begin with. Support doesn't have to be just reactive, it can be proactive as well.
There is a ton of information online about Google Analytics, but Google Analytics Premium users will have dedicated support and training from Google or an Authorized Reseller.
If you already have the basic version of GA installed, "getting" GA Premium happens immediately through a virtual flipping of the switch - no need to re-implement. You'll want to expand your use of custom dimensions and metrics (you get 10x the amount with Premium). Ideally, you'll be using a tag management solution to talk with GA Premium, in concert with implementing a dataLayer (to note, Google's Tag Manager platform is covered under the same GA Premium SLA, and it's free). There are some welcomed "configurations" with GA Premium, such as integrating with DoubleClick products, activating data driven attribution models, and building roll-up executive reports - but all of these are easy point and click solutions. In comparison with any other enterprise analytics solution, implementing GA and GA Premium is traditionally easier and more flexible. And if you have any trouble or need an extra set of hands for implementation, GA Certified Partners like LunaMetrics can help
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.
Unless you have very complex and edge case analytics needs, Google Analytics [360 (formerly Google Analytics Premium)] is likely going to be the best choice. From both a cost and usability stand point, Google wins. Adobe has the edge case when you need to create really custom reports, dimensions, metrics, etc. In my experience, this is rarely the case and you end up biting off more than you can chew. Stick with Google unless you are or plan on hiring an Adobe Analytics expert.
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.
Unlike AdWords, it's difficult to put a number on the ROI for GA 360. I was not in charge of pricing at my previous company, but offering analytic support to clients as part of a website optimization (and maybe even SEO) package certainly has value.
I imagine that having a direct line to Google consultants may be a value proposition to clients, but again, I was never a salesperson.
If you are a larger company for whom GA 360 is appropriate, then having the best tools money can buy (and the features therein) is always a nice thing to have in your back pocket.
