IBM Digital Analytics

IBM Digital Analytics

Score 7.0 out of 10
IBM Digital Analytics

Overview

What is IBM Digital Analytics?

IBM acquired Coremetrics in 2010, and has since re-branded the platform to the IBM Digital Marketing Optimization Solution. This cloud-based solution includes IBM Digital Analytics, the core analytical product, as well as several add-on modules, including Benchmark, Product Recommendations, Lifecycle,...
Read more

Recent Reviews

IBM is dead

2 out of 10
March 07, 2018
We use IBM Digital Analytics to track website activity through element tags, conversion events, marketing programs, etc. We analyze the …
Continue reading

Disappointed

1 out of 10
March 06, 2018
It is currently used by the marketing strategy department. We have been using Digital Analytics along with other reporting tools to drive …
Continue reading
Read all reviews

Reviewer Pros & Cons

View all pros & cons

Video Reviews

Leaving a video review helps other professionals like you evaluate products. Be the first one in your network to record a review of IBM Digital Analytics, and make your voice heard!

Return to navigation

Pricing

View all pricing
N/A
Unavailable

What is IBM Digital Analytics?

IBM acquired Coremetrics in 2010, and has since re-branded the platform to the IBM Digital Marketing Optimization Solution. This cloud-based solution includes IBM Digital Analytics, the core analytical product, as well as several add-on modules, including Benchmark, Product Recommendations,…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

Would you like us to let the vendor know that you want pricing?

2 people want pricing too

Alternatives Pricing

What is Google Analytics?

Google Analytics is perhaps the best-known web analytics product and, as a free product, it has massive adoption. Although it lacks some enterprise-level features compared to its competitors in the space, the launch of the paid Google Analytics Premium edition seems likely to close the gap.

What is Smartlook?

Smartlook is an analytics solution tool for websites, iOS/Android apps, and various app frameworks, that answers the "whys" behind users' actions. It helps users understand precisely how customers interact with website and app — watch recordings, create heatmaps, use automatic tracked events, and…

Return to navigation

Product Demos

IBM Digital Analytics March 2018 Release
04:17
Return to navigation

Product Details

What is IBM Digital Analytics?

IBM acquired Coremetrics in 2010, and has since re-branded the platform to the IBM Digital Marketing Optimization Solution. This cloud-based solution includes IBM Digital Analytics, the core analytical product, as well as several add-on modules, including Benchmark, Product Recommendations, Lifecycle, Multisite, and more. IBM has integrated the Digital Marketing Optimization platform with other solutions, like WebSphere Commerce and Portal for ecommerce, IBM Campaign and Interact (acquired from Unica in 2010) for cross-channel campaign management, IBM Tealeaf (acquired in 2012) for customer experience management, and much more. IBM continues to integrate the Digital Marketing Optimization platform into many other solutions as well, from business intelligence tools, to social media analytics, and more.

IBM Digital Marketing Optimization primarily competes with other enterprise-level digital analytics solutions like Adobe Omniture, Google Analytics, WebTrends, and more.

IBM Digital Analytics Video

IBM Digital Analytics March 2018 Release

IBM Digital Analytics Integrations

IBM Digital Analytics Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

IBM acquired Coremetrics in 2010, and has since re-branded the platform to the IBM Digital Marketing Optimization Solution. This cloud-based solution includes IBM Digital Analytics, the core analytical product, as well as several add-on modules, including Benchmark, Product Recommendations, Lifecycle, Multisite, and more. IBM has integrated the Digital Marketing Optimization platform with other solutions, like WebSphere Commerce and Portal for ecommerce, IBM Campaign and Interact (acquired from Unica in 2010) for cross-channel campaign management, IBM Tealeaf (acquired in 2012) for customer experience management, and much more. IBM continues to integrate the Digital Marketing Optimization platform into many other solutions as well, from business intelligence tools, to social media analytics, and more. IBM Digital Marketing Optimization primarily competes with other enterprise-level digital analytics solutions like Adobe Omniture, Google Analytics, WebTrends, and more.

AT Internet, Google Analytics, and Adobe Analytics are common alternatives for IBM Digital Analytics.

Reviewers rate Implementation Rating highest, with a score of 9.9.

The most common users of IBM Digital Analytics are from Enterprises (1,001+ employees).
Return to navigation

Comparisons

View all alternatives
Return to navigation

Reviews

(1-4 of 4)
Companies can't remove reviews or game the system. Here's why
Score 2 out of 10
Vetted Review
Verified User
IBM Digital Analytics was used to monitor on-site user behavior, highlight areas of drop-off across key lead capture pathways, provide direction, and historical aggregation of digital marketing initiatives and set performance benchmarks for an ecommerce acquisition channel. Away from the 'out of box' options we leveraged Digital Analytics registrationIDs to capture multi-channel attribution data, which was warehoused and frequently mined to determine the digital marketing mix, that brought successful customers to the business.
  • Click pathways provided a robust way to analyze visitor pathways
  • TruePath Funnels were essential to learn day over day changes through key lead capture paths
  • Ability to accept and table a variety of user & registration IDs allowed us to perform off-UI multichannel analysis
  • The JavaScript library sitting at the back-end of IBM Digital Analytics is extremely cumbersome for non-developer, marketing users. While the JS library does provides endless customization, the complexity and ramp-up time to understand the basics can be a barrier when trouble-shooting basic re-configurations.
  • IBM Digital Analytics is HEAVILY geared towards online retailers, acting more as a website's cash register as opposed to a tried-and-true web diagnostic and analytics tool
  • The support for IBM Digital Analytics was lackluster, we found ourselves often tangled in the bureaucracy that is IBM, when REAL problems occurred.
It's better suited for sites where retail is the core of the site, but with that said, don't expect the tool to provide a holistic view on your multi-channel attribution pathways --- for this time of purview of your digital marketing blend we chose to develop our own, off-UI solution rather than paying IBM for additional modules to answer our mutli-channel questions.
  • Certainly gave us a an accurate, last click view of channels contributing to lead conversion
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.
4
Web Analytics Specialist, UAT Specialist, Software Engineer, Front-End Web Developer
2
Knowledge of JS, AJAX, JQuery, and expert experience with the principles of Web Analytics
  • Tracking ROI on marketing spend
  • Highlight areas for UX improvement
  • Benchmark historical performance
  • Provide a blended view of the channels involved in a user's conversion cycle
  • Creating an data-base centered around IBM Digital Analytic's registrationID, used to track off-site lead throughput and identify a full view on the user's marketing lifecycle
  • Automation of email based on data from IBM Digital Analytics
Cost, poor support, heavy focus on retail sites, lack of robust full, multi-channel analysis, poor flexibility surrounding ad-hoc segmentation
  • Vendor implemented
Score 8 out of 10
Vetted Review
Reseller
We use IBM DA as our main Digital Analytics solution for our clients. We implement the solution on the CMS platform and we have built an ecosystem that allows us to act on all data collected by IBM DA (via Exact Target for example). Once the implementation is over, we permanently audit the tagging and provide recommendations for our clients.
In terms of business consultancy, we use IBM DA to produce regular dashboards and deep dive analysis for our E-commerce clients.
  • Marketing attribution models - capable to deliver an holistic view of the marketing channels performance
  • Multisite capabilities : allows to have a Cie view as well as individual site's view
  • Unique customer view and Live Profile: we are able to go to the visitor level and therefore use the behavioural data for marketing actions
  • Reliability of the data: we have full confidence in the data collected and the rules are clear for us
  • Support: available support 24h/7.
  • Limit in Explore Credits that are too costly
  • Segmentation on the fly (like GA) in DA - segmentation in IBM DA are poor and too restricted
  • Benchmark module that is a real strengh but under exploited
  • DDX : not performant enough - better to use 3rd party solution such as Tealium
  • R&D : no major next feature or project over the past year
I think the solution is appropriate for all types of businesses, even though it is better suited for Retail.
  • Increase conversion - onsite search analysis, promotional analysis etc allowed to prioritise the investments and the on-going efforts for our clients
  • Better ROI - using the solution is allowing us to educate the client into measuring ROI on every action undertaken on the site
  • Better decision : we do no longer take decisions without looking at the data first
  • Google Analytics,Adobe Business Catalyst,Adobe Analytics
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 strong ROI.
Compared to Google: the main asset of IBM compared to GA is the fact that you can go down to the visitor level in Analytics and run much more precise analysis. Also, in Google the data calculation and attribution models can be unclear and therefore difficult to trust.
All departments oriented Digital marketing and e-commerce.
- Level of support and training provided
- Flexibility of the tracking solution via the tags attribute that allows us to answer to each of our client's objectives
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.
Yes
At one point, there were multiple bugs that needed immediate attention and I have to say that the support team went above and beyong in terms of support. They put a dedicated person to our account who provided weekly updates and advised on the timeline for resolution.
Score 8 out of 10
Vetted Review
Verified User
  • E-commerce is Coremetrics' strong point. The solution is very good at reporting for ecomerce sites. For example, it gives excellent data on products purchased and abandoned cart value and other E-commerce statistics. Omniture is perhaps better for more general content browsing statistics, but Coremetrics is the clear leader for E-commerce sites.
  • Easy and well documented implementation
  • Fast, easy and customizable reporting UI
  • Data mining or AdHoc visit-based analysis: All packages provide a way to do a deep dive on data. Usually you will need a custom report to cover something that is not covered out-of-the-box. For example, you might want to know whether more purchases are coming from people using one browser over another. Coremetrics does provide access to the database to build relationships between objects to construct custom reports. though it is possible to build these ad-hoc reports in Coremetrics, it's not that easy. Once you stray outside the standard templated reports, it's not the best solution for creating custom reports.
  • Since it's a flat, table-based analytics solution, there are potential table limits which can be reached on large datasets
  • Close monitoring of the different marketing online initiatives. Making sure money is well spent.
It's a very good analytics package. No solution is perfect so it's important to test them. For an e-commerce site, Coremetrics may well be the best solution out there.
As mentioned previously, I believe Explore should be bundled with the basic Coremetrics package. So, please negotiate this module as part of your global contract.
20
Most of the users are in Marketing but Sales and IT people are also part of the user base.
1
  • Coremetrics enables marketing stakeholders to easily follow and measure the success of their marketing initiatives.
  • Track conversion in sales and enables you to test different marketing offers and see the impacts in real $
  • Strong and very reliable solution for businesses taking critical marketing decisions based on analytics
Mostly from Google Analytics, or building on previous Coremetrics implementations.
Omniture and Webtrends were also considered. When business needs are met by both Coremetrics and Omniture, the latter tends to be more expensive. Webtrends is often a good choice when server logs are also used with page tags. Server logs is an older technology which tends to undercount discrete web visitors (because multiple visits from different people at a single company are counted a a single visit). But, as Coremetrics and Google Analytics only use the newer tag technology, Webtrends can be a good choice if both server logs and tags are being used.

Coremetrics is renowed for it's great support and easy implementation which - along with cost - was a deciding factor in many situations.

  • Professional services company
I was the consultant responsible for the deployment.
  • Online training
  • Self-taught
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.
It all depends if you are experienced working with analytic software. I would say Coremetrics is easy to learn, but any form of training will help you get up to speed faster.
If e-commerce tracking is your main goal, Coremetrics will do a perfect job and is configurable to meet your needs. For other sites, we may lack advanced content grouping for example.
Follow the very detailed implementation guide. That will save you time and erroneous data.
No - we have not done any customization to the interface
No - we have not done any custom code
No
Standard support is great. It may be helpful, as with other solutions, to have a consultant help you out with the initial implementation, training and to drive a Web Analytics culture in your organization. Once you are up to speed, Coremetrics standard support will usually be enough, and you won't need to pay for additional support.
Even if all things in this world can be improved upon, Coremetrics support is the best I have seen.
Very easy to implement and use.
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.
Never had any issues.
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.
Timothy Ponce | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
  • Unlike Google Analytics, which provides generic/multi-purpose tags for any kind of implementation you can imagine, Coremetrics provides a set of single-purpose tags along with an implementation strategy to help businesses get the right data in the right format. For example, there are tags specifically for adding an item of merchandise to a cart. Since this is a fundamental action for most e-commerce sites, the straightforwardness of this tagging (and the subsequent e-commerce reports it populates) is very convenient (and in some cases, where customization is required, very limiting).
  • As mentioned above, the use case-specific tags populate very specific reports, such as cart abandonment, checkout conversion for e-commerce, etc. These out-of-the-box reports can be very useful if you have a generic implementation that matches Coremetric's expected usage.
  • Explore reports are powerful because they allow you to create custom reports on practically any data point, enabling you to answer very specific questions.
  • The Coremetrics implementation guide is a thorough document that explains every aspect of how Coremetrics works and the technology should or could be implemented on your site. For an engineer responsible for implementation, it is immensely helpful.
  • Compared to Google Analytics, the reporting interface is slower and less user-friendly.
  • There is no way to easily manage different sites in a single enterprise (though I think this may have been addressed in a newer version).
  • The Impression Attribution add-on module is quite rudimentary and, compared to an ad-serving platform, very costly per impression. (But if you need impression data populated within Explore and not some other third-party, then it's for you.)
  • We sought to analyze visitor/traffic/content data in order to A) tailor the user experience to increase engagement and B) obtain the data points against which to sell media/sponsorship.
Because our implementation was deep and time-consuming, it doesn't make sense to switch to another vendor that offers incredibly similar capabilities for a similar cost. Plus, all our needs were met with Coremetrics.
  • We used Coremetrics Web Analytics to measure everything related to online marketing campaigns and customer behavior: visitors, traffic sources, content pathing, ROI for paid ads, checkout conversion rates, email campaign success, and visitor segmentation.
  • We utilized Explore and Impression Attribution to dig into answers to very specific questions such as, "Which members who were exposed to brand X via step Y of web asset Z in the past 6 months?" These figures were valuable to sell and optimize branded campaigns to partners.
Google Analytics (free edition)
Webtrends and Omniture were on the shortlist. Webtrends tagging implementation seemed a little less flexible than Omniture and Coremetrics. When it finally came down to pricing and desired features, Omniture and Coremetrics were not significantly different, so we based the final call on customer service. Testimonials from current clients and peers using both systems seemed to indicate that Coremetrics had winning customer service.
  • Implemented in-house
See previous comment: reading and understanding the encyclopedic implementation guide is a must.
  • Online training
  • Self-taught
The implementation guide explains practically everything an implementation engineer needs to know. If said person has the self-discipline to read through this dense document, it will be the best way to learn.
Yes
The knowledge base and documentation site is not well-designed, but if you are willing to dig, there are lots of answers there. Also, the support team via email/chat is very responsive.
Return to navigation