Coremetrics / IBM Digital Analytics (discontinued)
Score9.1 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
Flurry Analytics (discontinued)
Score9 out of 10
N/A
Flurry Analytics, from Yahoo / Verizon Media, was a mobile app analytics that let users explore usage, engagement, retention, geographic, demographic, audience and technographic metrics. The product was sunsetted in 2024, and is no longer available.
N/A
Pricing
Coremetrics / IBM Digital Analytics (discontinued)
Flurry Analytics (discontinued)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Coremetrics / IBM Digital Analytics (discontinued)
Flurry Analytics (discontinued)
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Flurry is completely free with no hidden fees. Flurry also offers support for integration, set-up and analysis.
More Pricing Information
Best Alternatives
Coremetrics / IBM Digital Analytics (discontinued)
Coremetrics / IBM Digital Analytics (discontinued)
Flurry Analytics (discontinued)
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I would encourage a colleague to use Flurry Analytics. Incorporating Flurry Analytics in an app is a simple and straightforward task, and will take the average app developer less than 15 minutes to understand and apply. This amount of time is nothing in the grand scheme of the development of the app, and the return on time invested to incorporate it is great. New tracking features can be added at any time.
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
Good user acquisition tracking Sdk integration is super easy for both iOS and Android Need it Need to support more customized dashboards / reporting (example - set up a dashboard specifically to see users engaging with a new feature recently launched)
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.
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.
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.
For my uses, Flurry is free which makes it way more attractive than the other platforms even on a very big number of monthly events. It also have set reports which are exactly the reports that a marketing person needs without any need of spending a developer time to create them for you, or holding an in-house BI person that works on creating reports.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Tracking the number of times a user taps a help button can help to improve the app design. Perhaps the app is not as intuitive as first thought, and improvements based upon where in the help feature a user taps will lead to improvements in the app design to make it more intuitive.
Tracking the number of times certain app features are used, or the amount of time spent within a given activity in the app can help to streamline an app - improve upon features that are used more frequently while eliminating less popular activities.
Tracking time spent within an app can give an idea as to how popular the app is.