Coremetrics / IBM Digital Analytics (discontinued)

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.

Recently, we introduced IBM Digital Analytics for our company's B2B operations. It is largely used by our marketing department to analyse incoming traffic, evaluate the ROI of conversion rates, and set engagement objectives. In order to get a larger budget, it is essential to demonstrate a better return on our SEM investment, which IBM Digital Analytics helped us do.

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.

It's well suited in building chatbots. We have tried and tested building a chatbot using Watson and it was easy to build and deploy. Watson accepts questions posed by the user in natural language and provides the user with a response (or a set of responses) by generating and evaluating various hypotheses around different interpretations of the question and possible answers to it. Unlike keyword-based search engines, which simply retrieve relevant documents, Watson gleans context from the question to provide the user with precise and relevant answers, along with confidence ratings and supporting evidence.

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.

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.

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.

I'd rather use Google Analytics. If my team had the choice, we would use Google Analytics instead. Can't think of anything beneficial to keep us on IBM. The legacy UI is old and no longer supported by the support team, and the new UI is too buggy to depend on.

It is currently used by the marketing strategy department. We have been using Digital Analytics along with other reporting tools to drive business decisions.

It's tough to recommend IBM Digital Analytics in its current state over another tool like Google Analytics due to its incomplete and buggy nature.

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.

As a consultancy, we use a wide variety of web analytics products. We started working with IBM Digital Analytics when we developed a customer education portal for a large consumer electronics manufacturer, when the product was still Coremetrics. The client had just acquired a license and we conducted a full implementation. After that introduction, Coremetrics became one of our regular offerings.

What's your budget? Will you have someone on staff to monitor the dashboard to make use of the business intelligence this product will give you? Will you have someone on staff that can update your metrics implementation and reporting as your site evolves? This is an excellent product for a company ready to nurture their online key performance indicators as they evolve.

We use IBM Digital Analytics as a 3rd party analytics tool for many of our clients. The tool is able to provide a holistic view of performance across a variety of marketing channels.

What is the planned use for the tool - high level information and direction or granular reporting to C-level? The tool struggles at times to provide granular reporting to meet the needs of C-level executives.

Our clients have traditionally selected IBM Digital Analytics over competitive platforms when they need a robust, enterprise system which can be 1) readily integrated with and provide cost benefits due to chosen CMS (typically IBM WebShere), 2) require reliable, robust data security and data ownership due to heavy regulatory concerns or 3) provide a uniform deployment allowing for the ability to opt into industry/vertical benchmarks.

It is best suited for clients/companies which are in 1) highly regulated industries, 2) industries with a high user base of IBM Digital Analytics allowing for opt-in to benchmarks, or 3) where other IBM products have been selected which can be used to secure pricing advantages for selecting IBM Digital Analytics.

It was used by the web marketing department for web traffic analytics.

It is well suited for all web traffic, except for affiliate traffic and/or traffic coming from server redirects.