Coremetrics / IBM Digital Analytics (discontinued)
Score 8.9 out of 10
N/A
Based on the former Coremetrics, IBM Digital Analytics is a discontinued analytics product. IBM acquired Coremetrics in 2010, and re-branded the platform to the IBM Digital Marketing Optimization Solution. Product support was ultimately provided by Acoustic, but the product is not a part of the company's plans going forward.
N/A
Google Analytics 360 (discontinued)
Score 8.2 out of 10
N/A
Google Analytics 360 (formerly Google Analytics Premium) was an enterprise-level analytics solution that was sunset in July of 2024.
$150,000
Up to 1 Billion hits/month
Tealium Customer Data Hub
Score 8.5 out of 10
Enterprise companies (1,001+ employees)
The Tealium Customer Data Hub powers capabilities across the data supply chain. Tealium universally collects customer data from any source including; websites, mobile applications, devices, kiosks, servers, and files. Data collected is then standardized in the data layer, which drives usage of data for customer engagement and analysis.
N/A
Pricing
Coremetrics / IBM Digital Analytics (discontinued)
Google Analytics 360 (discontinued)
Tealium Customer Data Hub
Editions & Modules
No answers on this topic
Google Analytics Premium
$150,000
Up to 1 Billion hits/month
Google Analytics
Free
No answers on this topic
Offerings
Pricing Offerings
Coremetrics / IBM Digital Analytics (discontinued)
Google Analytics 360 (discontinued)
Tealium Customer Data Hub
Free Trial
No
No
No
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
No
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
—
—
—
More Pricing Information
Community Pulse
Coremetrics / IBM Digital Analytics (discontinued)
Google Analytics 360 (discontinued)
Tealium Customer Data Hub
Considered Multiple Products
Coremetrics / IBM Digital Analytics (discontinued)
Verified User
Analyst
Chose Coremetrics / IBM Digital Analytics (discontinued)
IBM Digital Analytics was already in place when our team was brought on. None of us are fans. IBM does not seem to care from a customer service level whether or not we are satisfied or getting what we need out of their offering.
Chose Coremetrics / IBM Digital Analytics (discontinued)
Compared to Adobe: I think Adobe Analytics and IBM DA are very close in terms of functionalities. IBM makes the difference when it comes to the marketing attribution model. Also, the pre-integrated solutions such as LIVEmail or IBM Recommendations are very easy to use and allow …
Google Analytics 360 (discontinued)
Verified User
Manager
Chose Google Analytics 360 (discontinued)
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 …
Google Analytics is much more user friendly and requires less day to day management. Google Analytics should be the platform of choice unless there are complex business reasons to choose Adobe.
I am also an advanced IBM Digital Analytics user and beginner Adobe Site Catalyst user. I definitely prefer GA Premium for non retail clients due to the ease of use, flexibility and robust marketing attribution modeling. I also prefer it for multi-site implementations due to …
Tealium Customer Data Hub
Verified User
Vice-President
Chose Tealium Customer Data Hub
Tealium Customer Data Hub is the clear leader in real-time capabilities, its platform agnostic approach means that it works well with everybody and doesn't require necessary features to be built or still be on the roadmap, or require custom workarounds to function.
There are many ways to move to a 1st party data model, and it might not seem like Tealium Customer Data Hub is even necessary if you're doing your own data warehousing and have BI tools. What Tealium does is allows you to make sense of customer data and easily do something …
Tealium Customer Data Hub has architected an end-to-end solution where some other solution providers have attempted to integrate various acquired technologies, and in many case not so well. In comparison with Google Tag Manager, being able to utilize support and professional …
Tealium Customer Data Hub is the most effective solution I've used so far in terms of collecting and managing data. We chose this tool because it has a reputation of being the best in the industry. We had also heard that Tealium has a support team second to none - which is …
Tealium iQ Tag Management is very robust and extensible, however Google Tag Manager is a much better value. My recommendation is to evaluate your business's tagging and tracking needs and identify any deltas with cheaper solutions than Tealium iQ Tag Management can offer. Also, …
Coremetrics / IBM Digital Analytics (discontinued)
Google Analytics 360 (discontinued)
Tealium Customer Data Hub
Likelihood to Recommend
Discontinued Products
IBM analytics has continued to improve upon the days of being the original core metrics. After using the updated version for quite some time, it has been great at providing the needed analytics to measure ROI and goal performance for our quarterly KPI's. It has resulted in a great increase in web engagements although we are a midsize company, smaller outfits may not need such an expensive option.
As I have discussed previously their insights were very useful. The second thing is since it is a Google product you will connect the data very easily from other platforms like Bigquery, Google Drive, etc. and even you can connect Google marketing platform. through this tool, you can track your live campaign how they were performing, and how it will be engaging your customer as well.
Well suited: Any company that has a variety of data interspersed across multiple systems and is trying to get a more unified understanding of their customer profile—that enriched customer view of having all these disparate data sources and wanting to bring them together in a relatively seamless manner, and then having that more nuanced understanding of the entirety of the customer and being able to action off of it. Which again, I feel like is a core marketing use case.
IBM CXA comprises an acquisition called Tealeaf. This tool has deep heritage and this is evident in its present-day capabilities.
The Universal Behaviour Exchange or UBX puts the concept of personalisation at the forefront. The ability to combine physical (analog) and digital transactions to create the complete picture of a customer journey, is a stand out benefit.
The solution does not have to involve the purchase of software. IBM CXA can be sold as a service bundled with analytics as a service. This not only lowers the cost of ownership, it gets around one of the principal issues. Strong staff with design and analytical capability to drive the solution and deliver tangible benefits.
The seamless integration of Watson AI services to help with the heavy lifiting. Watson reinforces the analytical focus this solution has and can learn to recognise situations specific to a company.
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.
Activation in real time - it's really good and you can literally see the information being activated in all other technologies that my clients use, like TikTok, Facebook, Google, et cetera. At the time that a client arrives on your website, you have instant data to enrich the profiles and activate on this channel. So this is really good and it's something that Tealium give us the control in order to do that.
The other thing is that you have the power to choose what data you want to collect and what data you do not want to collect. Tealium is particularly very good on doing that.
The user interface is in Flash, which can be very frustrating and slow at times. Apparently, this is to be transitioned in a future release.
Can only segment the last 93 days of data. Any historical segmentation beyond the 93 days must be run in Explore (which is credit based, and has its own limitations with the number of credits per month, based on the initial contract with IBM).
Reports can only display 93 days of data at a given time for custom date ranges. There are pre-programmed date ranges setup with IBM during implementation (last week, last month, last quarter etc.), but are not flexible enough to answer more specific questions.
Certain reports cannot have segments applied, making answering some simple questions a bit more tricky. For example, I can create a segment around mobile devices and apply it to the marketing channels report, but I can't create a marketing channel segment and apply it to the mobile reports.
Built in API calls allows for nice report design and automation.
Generally I think there is a lot you can do within the tool, but as it is a Google product it means there is limited support - something which I think lets all of the platform stacks down
There could be more visual signifiers to identify if a feature is a normal or 360 feature. This would mean you can really get to grips with what the extra more advanced elements are
Audiences—don't they technically exist in Tealium? They are just streamed—no count, no backfill, etc.
Working backward to identify issues involves lots of clicking in the UI, going from audience to audience attribute, badge to event attribute, and so on.
You have to wait for a Real-Time event to see the payload. There is no sample or other option.
IBM Digital Analytics is a great solution for our clients and I believe they offer the best solution for the retail space. We have access to IBM support via email or live chat and they can answer many of the reporting questions that come up. IBM is receptive to our feedback of the product so I am confident they will continue making improvements
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.
I already know that my company has no plans to discontinue use of Tealium. We are heavily reliant on it due to a huge number of product teams and developers we would have to work with to place tags across many pages. Tealium is already there on the pages, and our application/product teams are familiar with how to integrate it. It is just the simplest way to ensure that new data requirements are implemented in a timely manner.
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.
Once you understand how it works and how to implement things, it is a dream and very user friendly. There is the initial learning curve but there are oceans of helpers available to you to help you bridge that initial gap and get going. Take the time to learn it up front and you will never have any problems. And support is great and available to answer questions
As reports are templated, the system is pretty quick. Sometimes you have to wait a bit for a report to render. Or you might have to re-load the page. But there is no real issue here and the system is on par with other similar systems.
Overall, the level of support is very good and I would say it is a strong asset of the solution. However, you can sometimes feel that there is a difference of level among the support team.
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.
The support team often is so quick to respond and so helpful when it comes to working with the needs of my clients and being able to resolve potential shortcomings or technical issues or surrounding the tool. There have been times more recently that I’ve gotten more generic service rather than the tailored experience that I have come to expect.
Online training is really great. One of the best assets that they have. Lots of great videos, pop quizzes at the end of each module. Fantastic. Other tools have similar features, but not as good.
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
Implementation had some bumps in the road and it was new for all of us, but for the most part, it was easier than many other implementations we've done with other technologies.
Much of the work we did in IBM Digital Analytics could have been answered through Google Analytics, a much simpler, agile and FREE solution set. Not mention, given the vast number of Google Analytics USERS, free and actionable support is simply a click away ... this compared to IBM Digital Analytics fractured and often absent support service.
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.
Tealium Customer Data Hub can do it all in one. Whereas, I think by using multiple Tealium Customer Data Hubs, we can utilize what each tool is really good at. In an ideal world, we'd like to use Tealium Customer Data Hub for everything, but one thing that we struggle with is Audience Segmentation, and we are looking for a one touch solution, without a lot of the work since the data is already there.
This solution can support large amount of data and transaction. The way that user management features are built, it shows it is meant for large organizations.
We spend too much time trying to work around bugs on the new UI.
We spend too much time trying to figure out how to make certain segments work because support and the knowledge center are lackluster.
Our sales rep is very unresponsive and leaves us searching for a lot of answers on our own, including what other products we may benefit from that IBM offers.
There has been a near immeasurable return on customer data and improvement of our quality for our physical products due to be in tune with the customer. This has changed our way of doing things for the better to gain a better flow and overall workplace experience.
A negative is that Tealium AudienceStream becomes harder to manuever and use data analytics for when a database has been existing for a fairly large amount of time. It goes from an agile ship to a huge vessel that takes many components to be able to move.
