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Coremetrics / IBM Digital Analytics (discontinued)

Coremetrics / IBM Digital Analytics (discontinued)

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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Recent Reviews

Good Product

9 out of 10
February 20, 2019
Incentivized
We are currently testing a couple projects using ML Algorithms in Watson to improve the customer experience. Watson Customer Experience …
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IBM is dead

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

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

8 out of 10
May 23, 2014
IBM Digital Analytics has played a huge part in our organization each and every day. We are a re-seller of IBM Digital Analytics. Our …
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IBM Digital Analytics Review

8 out of 10
May 22, 2014
We are a reseller of IBM DA where we have many clients engaged with several levels of the IBM product suite. The data is used across many …
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Pricing

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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…

Entry-level set up fee?

  • No setup fee

Offerings

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

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Product Details

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.

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 SystemsUnspecified
Mobile ApplicationNo

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).
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Comparisons

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Reviews and Ratings

(87)

Attribute Ratings

Reviews

(1-1 of 1)
Companies can't remove reviews or game the system. Here's why
February 20, 2019

Good Product

Score 9 out of 10
Vetted Review
Verified User
Incentivized
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
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.
  • 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.
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