IBM Digital Analytics - Good enough for most, but high room for improvement
For our clients, IBM Digital Analytics serves as our primary digital analytics solution. We use the CMS platform to construct the …
Overview
What is Coremetrics / IBM Digital Analytics (discontinued)?
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…
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What is Coremetrics / IBM Digital Analytics (discontinued)?
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…
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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…
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What is Coremetrics / IBM Digital Analytics (discontinued)?
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. This cloud-based solution included IBM Digital Analytics, the core analytical product, as well as several add-on modules, including Benchmark, Product Recommendations, Lifecycle, and Multisite.
IBM 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, and IBM Tealeaf (acquired in 2012) for customer experience management.
Product support was ultimately provided by Acoustic, but the product is not a part of the company's plans going forward.
IBM acquired Coremetrics in 2010, and re-branded the platform to the IBM Digital Marketing Optimization Solution. This cloud-based solution included IBM Digital Analytics, the core analytical product, as well as several add-on modules, including Benchmark, Product Recommendations, Lifecycle, and Multisite.
IBM 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, and IBM Tealeaf (acquired in 2012) for customer experience management.
Product support was ultimately provided by Acoustic, but the product is not a part of the company's plans going forward.
Coremetrics / IBM Digital Analytics (discontinued) Video
IBM Digital Analytics March 2018 Release
Coremetrics / IBM Digital Analytics (discontinued) Integrations
Coremetrics / IBM Digital Analytics (discontinued) Competitors
Coremetrics / IBM Digital Analytics (discontinued) Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Frequently Asked Questions
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.
Piano Analytics, Google Analytics, and Adobe Analytics are common alternatives for Coremetrics / IBM Digital Analytics (discontinued).
Reviewers rate Support Rating highest, with a score of 2.3.
The most common users of Coremetrics / IBM Digital Analytics (discontinued) are from Mid-sized Companies (51-1,000 employees).
Comparisons
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Reviews
(1-5 of 5)Companies can't remove reviews or game the system. Here's why
For our clients, IBM Digital Analytics serves as our primary digital analytics solution. We use the CMS platform to construct the solution, and we've created an environment that enables us to act on any data gathered by IBM Digital Analytics (via Exact Target for example). After the deployment is complete, we audit the tagging permanently and offer advice to our clients. For our clients that are in the finance industry, we often provide dashboards and in-depth analyses using IBM Digital Analytics.
- Overall support
- Good ecosystem
- Data reliability
- Very pricey
- No new features
- Old technologies
- UI
- Automated reports
- Easy to use
- Better optimisation
- Pricier than competition
- Learning curve and set up curve is steep
In comparison to Adobe, I believe IBM Digital Analytics and Adobe Analytics are fairly similar in terms of features. When it comes to the marketing attribution approach, IBM is what sets it apart. Additionally, pre-integrated technologies with great ROI, like LIVEmail or IBM Recommendations, are very simple to use. When opposed to Google, IBM's key advantage over GA is its ability to execute considerably more accurate analyses by drilling down to the visitor level. Additionally, it might be challenging to trust Google's data computation and attribution techniques due to their obscurity.
February 20, 2019
Good Product
We are currently testing a couple projects using ML Algorithms in Watson to improve the customer experience. Watson Customer Experience Analytics excels at journey analytics, automatically identifying the pain points of customer experience. We collaborate with business and technology teams and come up with predictive algorithms to get better business results from our existing analytics program. It provides us actionable omnichannel customer behavioral insights and also guides decision making.
- Simple implementation
- Better results
- Easy connectivity
- More knowledge sharing sessions
- UI/UX Improvements
- More tooltips on icons
- Positive: Faster solution
- Positive: Better prediction and service
- Positive: Secure and private
Cognos has exploration but it doesn't have much AI and ML functionality. Watson is much more helpful when it comes to customer experience analytics. Watson gives clarity into end-to-end journeys and effectiveness while also giving the ability to visualize the actual customer experience on digital channels. The macro to micro view gives both the what and the why behind performance. The insights can be used to optimize journeys, boost conversion, and maximize profitability.
Not Sure
- Product Usability
- Visualizing, integration, and retrieval of structured and unstructured data for better decisions in an intuitive natural language user interface.
- Creating the most effective targeted marketing campaigns and effective sales strategy by leveraging multiple sources of data from analyst reports, social data, blogs, reviews, and market research, and leveraging Watson’s user profiling, message resonance, and psycholinguistic capabilities.
- Leveraging forward-looking structured and unstructured data to enhance intelligent merchandising and management decisions related to product, pricing, and inventory management
IBM Watson is designed to support business uses across a broad range of industries and functional areas. Watson is not a silver bullet capable of answering every question. In general, the following problems are not appropriate for Watson:
- Complex mathematical computation. Watson can perform only very simple number calculations and comparisons.
- Predictive analysis. Watson Advisors cannot perform predictive analysis or predict the future, because it is designed to extract existing knowledge instead of creating new knowledge. It can only find candidate answers by comparing huge amounts of data and considering their statistical strength.
May 22, 2018
From Coremetrics to IBM Digital Analytics
We've recently implemented IBM analytics for the B2B portion of our business. Our marketing dept primarily uses it to track incoming traffic and measure ROI of conversion rates and engagement goals. IBM analytics allowed us to build our marketing strategy to get a better return on our SEM budget which is crucial in order to get an increased budget.
- Simplified exporting of reports and specific ranges of data
- Automated reports are easy enough to set up
- UI is simple and easy to use
- The speed of the UIX can be improved upon greatly, at times it is laggy.
- The more tabs that are open, the slower the tool becomes.
- Hard tagging is not full of features when compared to other solutions.
- Heavy amount of time for training and setting up
- Increased optimizations of the conversion funnel
- Costlier than other similar web analytical solutions
IBM Analytics is a great tool for measuring and analyzing web traffic along with consumer behavior to a degree. When compared to other solutions and tools available in the market today, I'd suggest checking out Kissmetrics or even Google Analytics over this tool. Ultimately, it will come down to the end user and if they are comfortable in the environment of the backend and workflows of IBM Digital Analytics.
March 07, 2018
IBM is dead
We use IBM Digital Analytics to track website activity through element tags, conversion events, marketing programs, etc. We analyze the metrics and provide strategy accordingly such as areas for improvement for the site and opportunities for increased engagement. It is used by our strategy and development departments and finding are presented internally to the rest of the company and to the client.
- Ability to nicely organize and determine the hierarchy of data
- Ability to hardcode tags throughout your site for specific tracking
- Dashboard provides opportunity to display metrics in various types of charts and graphs
- The new UI is slow, buggy, incomplete, is not intuitive, and has limited support or explanation.
- The demo videos for the new UI showcase features that are not even available in the new UI and support said those features may never be available so they are not sure either why they are shown in the demo videos.
- Tag management is extremely manual leaving a lot of room for human error.
- Support across the board for the legacy UI and new UI are not very helpful. They typically do not take the time to understand the root of your problem and commonly default to the response "that feature is not available". For example, you cannot currently delete reports in the new UI even though there is a delete button available. Support says the feature is not available, so if you want anything deleted you have to submit a list to support and they will delete it for you. This is extremely frustrating when you are creating "test" reports in the new UI and then you have no option to delete them when done.
- 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.
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.
October 17, 2017
Practical CXA
We leverage IBM CXA predominantly in support of clients. We do, however, use it against our own web assets to understand customer journeys. Predominantly, we help clients first create a simulation to identify customer experience issues or opportunities and create a hypothesis. In collaboration with the company, we then establish a proof of concept using real customer transactions to validate our initial findings and confirm areas of opportunity.
Whilst there are many low-cost tools that provide insight into user activity and indeed offer session replay, this is an invalid basis for analysis; the focus is on raw data and not drawing conclusions from user activity. IBM CXA is particularly strong for transactional assets such as an eStore. It can, however, be applied to any situation involving user activity.
A particularly strong aspect of IBM CXA is the core foundation it sits upon - UBX or Universal Behaviour Exchange. Not only is the capture of user behaviour through activity automatically recorded, but other, physical activity can also be channeled into the solution e.g. physical store purchases, call centre interactions, etc.
IBM CXA is, therefore, in a strong position to represent entire customer journeys and not simply digital ones.
Whilst there are many low-cost tools that provide insight into user activity and indeed offer session replay, this is an invalid basis for analysis; the focus is on raw data and not drawing conclusions from user activity. IBM CXA is particularly strong for transactional assets such as an eStore. It can, however, be applied to any situation involving user activity.
A particularly strong aspect of IBM CXA is the core foundation it sits upon - UBX or Universal Behaviour Exchange. Not only is the capture of user behaviour through activity automatically recorded, but other, physical activity can also be channeled into the solution e.g. physical store purchases, call centre interactions, etc.
IBM CXA is, therefore, in a strong position to represent entire customer journeys and not simply digital ones.
- 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.
- IBM CXA leverages script tagging to inspect specific behaviour patterns. A tagging engine against your web assets is a must-have to simplify script insertion and avoid having to leverage internal IT resources to modify web code.
- Tag management is perhaps the most challenging aspect of IBM CXA. In our view, this could be abstracted further and therefore simplified.
- We would like to see connectors with UBX to common platforms such as CRM, marketing automation. The more this is readily available, the quicker the time to value for clients.
- The ROI question needs to be focused on clients and not our use internally. We leverage this as a platform for designing customer journeys for our clients.
- The ROI case is far easier to make for eCommerce operators. Customer journey failings can be easily quantified and seemingly simple issues can generate large ROI outcomes. For web assets without a trading bias, ROI can be established using notional value attribution. For example, a lead for motor insurance that is lost can be costed based on average policy value over a typical lifetime; struggle on a customer self-service portal can be quantified on the cost of handling through a call centre; etc.
The alternative products mentioned differ wildly.
Adobe Analytics is similar to IBM CXA although not as strong for transactional web assets (eStores). In keeping with IBM CXA, integration with Adobe's own suite of products is strong. However, in a heterogeneous environment, this integration does not count.
Lucky Orange is a low-cost tool that will facilitate session replay of individual customer journeys. This solution does not scale since no one is going to observe 1,000+ customer interactions to deduce issues or failings. This is not suitable for large web assets.
The main reason we chose to work with IBM CXA was the ability to cover analog and digital scenarios by leveraging UBX. This was a major reason for us in designing customer experiences since they are naturally a mix of these two domains.
Adobe Analytics is similar to IBM CXA although not as strong for transactional web assets (eStores). In keeping with IBM CXA, integration with Adobe's own suite of products is strong. However, in a heterogeneous environment, this integration does not count.
Lucky Orange is a low-cost tool that will facilitate session replay of individual customer journeys. This solution does not scale since no one is going to observe 1,000+ customer interactions to deduce issues or failings. This is not suitable for large web assets.
The main reason we chose to work with IBM CXA was the ability to cover analog and digital scenarios by leveraging UBX. This was a major reason for us in designing customer experiences since they are naturally a mix of these two domains.