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.,2,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.,Google Analytics Premium, Google Analytics and Google Tag Manager,Tableau Desktop, Google Analytics, Adobe Illustrator CC, Slack, Evernote, SEO PowerSuiteOur 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.,Uniform deployments provide for the ability to opt-in to relatively robust benchmarks. Technical support teams allow both clients and agencies access to technical subject matter experts to ensure best-in-class implementations. Cost structure is often quite favorable, if a company has chosen other products within the IBM family. Current and long term integrations with IBM products (including Unica, Tealeaf, etc.) show promise and will continually increase the value of IBM Digital Analytics,Uniformity of deployment comes at a price, namely flexibility. IBM Digital Analytics is a better choice who are focused exclusively on e-commerce, heavily regulated industries, or simply interested in precision marketing and CRM. For those companies which prioritize style, form, and flexibility over precision (aka Art over Science), other solutions may be more effective. Competitors are integrating their systems more rapidly than IBM, which is still very siloed. It can be difficult to find professionals with technical expertise to implement and support IBM Digital Analytics. The user base from which to draw is significantly smaller. IBM technical training can be quite elusive to secure, unless you are already committed to the product and have a service contract in place, unlike competitors where technical training is readily available with registration open to all.,6,Overall, the positive impact has typically been on improving the reliability of data driven decisions to improve path to conversion.,Webtrends Analytics,Adobe Analytics,Google Analytics,3,5We 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 departments for gauging marketing and site design performance. Many of our clients use this data to forecast visitors to their site and their potential actions. We use the Explore tool frequently to setup more in depth reports using custom variables passed in the tags, to build out and answer many of the tougher questions. We also have several clients that take advantage of the LiveMail tool to target and remarket to consumers based on interests or actions (abandoned cart campaigns for example).,IBM Digital Analytics is a strong offering for retail eCommerce clients, based on the out-of-the-box metrics available around product views, items added and abandoned, as well as the ability to remarke to the individual user based on that information. Fairly straight forward implementation compared to the other major tools Visitor stitching - I feel the IBM Live Profile is very accurate at creating a full picture of an individual user and provides opportunities to create better messages to them. Having IBM Support as a an immediate resource to clarify or troubleshoot any of the system features has been very beneficial as well,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.,8,Increased employee efficiency by utilizing API calls for reporting Lifetime value metrics have helped identify a client's strongest customers and the ability to market to those individuals more likely to convert, for a stronger ROI Identify geographic and technological (mobile etc.) opportunities to expand the client's business,,7Our organization is a reseller of IBM Digital Analytics. It is deployed across all of our client's websites. As part of our digital marketing agency services, IBM Digital Analytics is used to analyze and optimize our client's marketing initiatives. We leverage visitor behavior data from the tool to implement remarketing programs such as abandoned browse and abandoned cart. We also leverage IBM Recommendations to power intelligent, wisdom of the crowd, product recommendations on our client's websites.,IBM Digital Analytics is a very powerful tool for retail brands offering many out of the box product and category performance reports. Many features an online retailer would consider standard such as product or shopping cart abandonment are included in this tool but require enhanced or custom tagging workarounds in other tools like Google Analytics. The Marketing Attribution reports are great, allowing us to see different attribution logic such as same session, 30 day last click, 30 day average click and others in one report. This allows us to see which channels act as acquisition channels and which are closer to the conversion. These reports have been improved with recent releases adding visitor journey and channel venn reports. The Benchmark module with IBM Digital Analytics is very beneficial to us, allowing us to see how our sites are performing across a number of different metrics compared to others in our particular vertical or in US retail as a whole. It is also a great way to see trends in the industry.,The user interface is dated and flash based which makes it very difficult to use on mobile. The visualizations and graphs are nice but hopefully they will move away from flash soon. The custom reporting module, Explore, is powerful and the only place to entirely customize display columns and metrics but it is limited to a certain number of credits each month. Each month of data included in a report uses 1 report credit. Inside the Digital Analytics interface you are limited in the number of one time and persistent segments you can create. One time segments must be within the last 93 days and the date range cannot exceed 35 days. Depending on the reporting request that comes up you may run into this limitation.,7,Using IBM Digital Analytics has allowed us to optimize marketing spend for our clients and provide us the insight to reduce the spend on vendors that are not performing well or not bringing in qualified traffic. Using IBM Digital Analytics data to power on-site product recommendations has increased the percentage of total sales from recommendation zones to around 10% compared to around 1% with manually merchandised zones. Using IBM's TruePath Funnels to analyze the checkout process for various clients has allowed us to see where visitors are dropping out of the checkout process and make improvements to increase conversion rate.,Google Analytics,8Digital Analytics is primarily used by our eCommerce team to analyze the performance of our eCommerce sites. We use DA to report on basic performance KPI's right through to advance consumer and channel attribution reports. DA feeds into our overall "data pot" and the quantitative and qualitative data that is produced is circulated throughout the business.,Channel attribution - for any business ROI is of paramount importance, but what we really want to know is how best to attribute the ROI. DA allows us to accurately attribute the ROI on a granular level. This then allows us to work closely with our digital marketing agencies to drive greater performance. Keyword analysis - One of our primary marketing channels is PPC. DA allows us to delve down into the performance of our PPC at keyword level which again helps validate our marketing strategy. Insights - Insights is a useful tool that allows any user to quickly understand what key areas (marketing / product / page) are working well or more importantly not so well. The insight data is backed up with some rationale behind the reason which can be quickly actioned by the relevant team. The weekly Action Ready Reports are very useful in terms of KPI data. The reports are aesthetically pleasing and help facilitate our weekly eCommerce team meetings as most key areas are covered in this report.,Custom reports are often too slow when running. Default data reports run quickly but any report that is done using a custom date range is too slow. G.A doesn't have the same problems Dashboards need to be more flexible. I'd like to make more use of the dashboards but they are quite restrictive in the number of options that can be included. All relevant data widgets should be incorporated into D.A. G.A allows custom dashboards to a much greater level than D.A Segments - are a very useful tool which allows you to mine further in your data. However, they are too restrictive. Persistent segments can only be run for 93 days and one time segments can only be ran for 35 days. Both options limit you from getting a real accurate picture over time of your segments. Why can’t this be opened up to 365 days?,7,We have significantly improved our ROI from PPC by analysing data at keyword level. In addition, by allowing our PPC agency to access this data it's improved our we have worked together too Site bounce rate has been improved by us analysing in detail the pages and traffic sources which were driving up the bounce rate. Changes were visible within days Onsite search now converts at 13% since we have been using the D.A data to drive this area (previously this was 9%). Weekly action is undertaken to enhance on site search and alert triggers are set to ensure we aren’t missing key words,Google Analytics,Adobe Analytics,8It is our primary analytics package for ECommerce reporting and analysis. Using it, we automated a large suite of regular reports for site-wide, device-type, geographic and marketing segments, including year-over-year comparisons, trends, and funnels, using explore reports and Microsoft Office automation (VBA in Outlook, Access and Excel). Use Analytics, Explore and Exports for a variety of ad hoc analyses, greatly enriched because of a sophisticated tagging strategy.,Mini-exports using Explore reports provide 10 metrics for 10 segments each. These enable easier automation than Adobe Digital Analytics (aka Omniture or SiteCatalyst) and Google Analytics. Changing report options (e.g., filters, segments, metrics) in Digital Analytics, along with saving views, scheduling emails, and share rights is quite easy for business users, who can self-service very easily. Marketing Channel manager is especially easy to use and, if supported by an intelligent MMC (Marketing Management Center) query string parameter policy, Marketing customers can be largely self-service for basic marketing reports.,Wish we could export and import segment and report definitions as xml files (or something equivalent). The broadcast functionality is inadequate and will waste report credits unless one is very careful. Wish there were more options for setting default behaviors. For example, many of us would like to suppress the charts above reports as a default view. The ability to move between applications and sites is awkward. Sometimes one must close a drop down menu, or move to a different application before changing sites. Also, the test and production sites are not bridged, necessitating a logout and login.,9,Having just completed a re-platform for the West Marine site and changing from Adobe to IBM for analytics, there are no significant business changes to link to our choice of an analytics package. That said, I would never be inclined to attribute the ROI to the analytics package itself. IBM and Adobe both have excellent enterprise-class analytics packages. Any decisions should be attributed to the analyses or managers, not to their tools. I don't credit Excel or Access with any ROI either.,,10Unlike 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.,8,8,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.,,,Implemented in-house,10,Online training Self-taught,7,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,8E-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.,8,8,20,1,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,,,Professional services company,9,Online training Self-taught,8,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.,8,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,10,9,9,10,8We use Digital Analytics to share and visualize the performance of the website. IBM Digital Analytics allows us to report on the behavior of the visitors at an individual level - what has been clicked and how it helped our customers buy what they came for. Moreover it allows us to compare different strategies and have the data to help make strategic decisions. Marketing is no longer a 'like/dislike' decision, it is an actual analysis on the performance of the different decisions. The data is shared across all departments of the company to help make predictions across a wide variety of services: in the sales department to see what items are wanted, in the finance department to see what payment methods are most favored, and also in the marketing department to see what promotions are performing best.,Digital Analtyics works best at analyzing on individual level. Each visitor can be targeted to improve its journey step by step. The ability to include many parameters in the tags helps create reporting that totally reflects company challenges. It helps with analyzing all aspects that we come across. Most of the reports are defaults and can be easily customizable. The fact that the interface allows the customized views to be placed in the interface next to the default views makes it easy to find them. The export functionality helps with exporting raw data to make off line analysis across all departments. This is really helpful when some very specific analysis needs to be made. The API is easily accessible and does not need an implementation language to create reports.,IBM Digital Analytics allows for custom values in the tags, but they can only be accessed by creating Explore reports and there is a charge for each new report created. If the values could be accessed freely that would make a huge difference. Segments sometimes take a long time to process, and this slows the analysis quite a bit. Moreover the limit that is imposed is sometimes very restrictive (10 maximum) The interface is not very user friendly.,7,IBM Digital Analytics helps with understanding the key strengths and weakness of websites. For instance it helps with understanding if some visitors belonging to a given category are experiencing problems in their journey. The interesting aspect of IBM Digital Analytics is that the more you use it the more you need it and the more you want to know about the visitors. Most of our clients that are on a free solution end up on IBM Digital Analytics because they realize that the tool does not completely answer all the questions they have. The conversion rate of some of our client's websites really went up because we were able to identify the problems that customers had on their websites.,,10

IBM Digital Analytics Reviews

Score 6.8 out of 10

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May 22, 2018

From Coremetrics to IBM Digital Analytics

Verified User

Employee in Marketing

Retail Company, 201-500 employees

Score 6 out of 10

Vetted Review

Verified User

Return on Investment

Heavy amount of time for training and setting up
Increased optimizations of the conversion funnel
Costlier than other similar web analytical solutions

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March 07, 2018

IBM is dead

Verified User

Analyst in Marketing

Marketing and Advertising Company, 51-200 employees

Score 2 out of 10

Vetted Review

Verified User

Return on Investment

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.

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March 06, 2018

Disappointed

Verified User

Analyst in Marketing

Automotive Company, 51-200 employees

Score 1 out of 10

Vetted Review

Verified User

Return on Investment

It's been our main analytics tool so it has a positive impact by default.

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February 04, 2015

IBM Digital Analytics: Overall product suite, digital ecosystem and marketing priorities should guide your choice

Stewart Pratt

Regional Director, Strategy and Analytics

MarketShareMarketing and Advertising, 10,001+ employees

Score 6 out of 10

Vetted Review

Verified User

Return on Investment

Overall, the positive impact has typically been on improving the reliability of data driven decisions to improve path to conversion.

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May 22, 2014

IBM Digital Analytics Review

John Runyon

Analyst / Interactive Marketing Specialist

PFSwebLogistics and Supply Chain, 1001-5000 employees

Score 8 out of 10

Vetted Review

Reseller

Return on Investment

Increased employee efficiency by utilizing API calls for reporting
Lifetime value metrics have helped identify a client's strongest customers and the ability to market to those individuals more likely to convert, for a stronger ROI
Identify geographic and technological (mobile etc.) opportunities to expand the client's business

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May 21, 2014

A Review of IBM Digital Analytics

Seth Poplaski

Web Analytics Implementation

PFSwebLogistics and Supply Chain, 1001-5000 employees

Score 7 out of 10

Vetted Review

Reseller

Return on Investment

Using IBM Digital Analytics has allowed us to optimize marketing spend for our clients and provide us the insight to reduce the spend on vendors that are not performing well or not bringing in qualified traffic.
Using IBM Digital Analytics data to power on-site product recommendations has increased the percentage of total sales from recommendation zones to around 10% compared to around 1% with manually merchandised zones.
Using IBM's TruePath Funnels to analyze the checkout process for various clients has allowed us to see where visitors are dropping out of the checkout process and make improvements to increase conversion rate.

Read Seth Poplaski's full review

May 15, 2014

Digital Analytics at the heart of your business

Gareth Beer

Ecommerce Manager

Speedo InternationalTextiles, 51-200 employees

Score 7 out of 10

Vetted Review

Verified User

Return on Investment

We have significantly improved our ROI from PPC by analysing data at keyword level. In addition, by allowing our PPC agency to access this data it's improved our we have worked together too
Site bounce rate has been improved by us analysing in detail the pages and traffic sources which were driving up the bounce rate. Changes were visible within days
Onsite search now converts at 13% since we have been using the D.A data to drive this area (previously this was 9%). Weekly action is undertaken to enhance on site search and alert triggers are set to ensure we aren’t missing key words

Read Gareth Beer's full review

June 30, 2014

IBM Digital Analytics, harness the Core of your Metrics

J. G. Emile Daigle

Architect

IsobarInternet, 1001-5000 employees

Score 9 out of 10

Vetted Review

Verified User

Return on Investment

This product helped our client with market-mix optimization
This product helped our client focus their content acquisition spend based on authors' popularity

Read J. G. Emile Daigle's full review

May 23, 2014

DA review

Korey Hart

Digital Insights Analyst

PFSwebLogistics and Supply Chain, 1001-5000 employees

Score 8 out of 10

Vetted Review

Reseller

Return on Investment

DA has increased customer service
As more companies become data driven it has definitely helped us to gain more clients.
DA has allowed us to provide insights and recommendations around our clients businesses that we wouldn't be able to provide otherwise.

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May 16, 2014

IBM Digital Analytics, an easy win for online retailers.

Alice Watson

Retail Practice Manager

eCommeraRetail, 51-200 employees

Score 9 out of 10

Vetted Review

Verified User

Return on Investment

At previous jobs, improved product conversion
Allowed us to effectively measure site performance and activity over time
Increased effectiveness of site merchandisers

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May 15, 2014

Think analysts, not their tools.

Jim Moult

Sr Mgr., Digital Analytics

West MarineRetail, 1001-5000 employees

Score 9 out of 10

Vetted Review

Verified User

Return on Investment

Having just completed a re-platform for the West Marine site and changing from Adobe to IBM for analytics, there are no significant business changes to link to our choice of an analytics package. That said, I would never be inclined to attribute the ROI to the analytics package itself. IBM and Adobe both have excellent enterprise-class analytics packages. Any decisions should be attributed to the analyses or managers, not to their tools. I don't credit Excel or Access with any ROI either.

Read Jim Moult's full review

May 13, 2014

A Whole Lot of Brain, But Not Much Beauty

Nathaniel Guralski

Marketing Associate

American Marketing AssociationBanking, 201-500 employees

Score 5 out of 10

Vetted Review

Verified User

Return on Investment

Better website retention, overall.
Improved SEO.

Read Nathaniel Guralski's full review

May 09, 2014

Very powerful, pricey, be prepared to add staff to take full advantage

Gina Perez

Director of E-Commerce

Team Express DistributingInternet, 201-500 employees

Score 7 out of 10

Vetted Review

Verified User

Return on Investment

Hard to pinpoint how reporting pays for itself...i see this more as a service instead of a ROI ad channel
Recommendation has same us with automatic processes driven by data, but you lose the savings by needing a FT person to manage all the levers.

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June 17, 2014

In my opinion: IBM Digital Analytics, aka Coremetrics review.

Gus Brito

Director of Network Development

FlexOffers.com, Inc.Consumer Electronics, 1001-5000 employees

Score 7 out of 10

Vetted Review

Verified User

Return on Investment

Better understanding of traffic overall.
Improved our traffic tracking from all sources.
Traffic benchmarking and/or ranking from all different marketing initiatives.

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August 27, 2013

Solid web analysis product

Timothy Ponce

EquinoxRetail, 51-200 employees

Score 8 out of 10

Vetted Review

Verified User

Return on Investment

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.

Read Timothy Ponce's full review

February 25, 2015

Unless you're looking for a complex site 'cash register,' don't waste your time

Verified User

Analyst in Marketing

Banking Company, 1001-5000 employees

Score 2 out of 10

Vetted Review

Verified User

Return on Investment

Certainly gave us a an accurate, last click view of channels contributing to lead conversion

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February 04, 2015

Reliable, Marketing oriented & efficient Digital Analytics Solution

Verified User

Manager in Professional Services

Logistics and Supply Chain Company, 201-500 employees

Score 8 out of 10

Vetted Review

Reseller

Return on Investment

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

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April 09, 2014

E-commerce is real strong point.

Verified User

Consultant in Marketing

Online Media Company, 1-10 employees

Score 8 out of 10

Vetted Review

Verified User

Return on Investment

Close monitoring of the different marketing online initiatives. Making sure money is well spent.

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June 27, 2014

Honest Review of IBM Digital Analytics

Verified User

Vice-President in Research & Development

Marketing and Advertising Company, 501-1000 employees

Score 5 out of 10

Vetted Review

Verified User

Return on Investment

Gives clients insight into performance across marketing channels
Provides single source of "truth" between client and agency

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May 28, 2014

DA vs GA - Which Tech Giant has the edge on Analytics?

Verified User

Analyst in Marketing

Logistics and Supply Chain Company, 1001-5000 employees

Score 8 out of 10

Vetted Review

Reseller

Return on Investment

Digital Analytics is essential for reporting across web performance and marketing activities.
Although ROI is difficult to calculate for a web analytics tool, it has helped us drive business decisions that lead to increased ROI for marketing performance as well as a higher conversion rate on the website leading to higher revenue.
In particular, the Digital Recommendations solution has proved positive and has consistently returned positive ROIs for the majority of our clients, on average adding a lift of 5-10% in Sales.

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May 19, 2014

IBM Digital Analytics - it costs, but it is worth the investment.

Verified User

Analyst in Marketing

Information Technology and Services Company, 201-500 employees

Score 7 out of 10

Vetted Review

Reseller

Return on Investment

IBM Digital Analytics helps with understanding the key strengths and weakness of websites. For instance it helps with understanding if some visitors belonging to a given category are experiencing problems in their journey.
The interesting aspect of IBM Digital Analytics is that the more you use it the more you need it and the more you want to know about the visitors. Most of our clients that are on a free solution end up on IBM Digital Analytics because they realize that the tool does not completely answer all the questions they have.
The conversion rate of some of our client's websites really went up because we were able to identify the problems that customers had on their websites.

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May 01, 2014

Pricy Analytics tool but...

Verified User

Analyst in Other

Insurance Company, 201-500 employees

Score 6 out of 10

Vetted Review

Verified User

Return on Investment

Increase of satisfaction if implemented with qualitative tools (such as Foresee or iPerceptions)
Revenue tracking
Count of server calls goes really high if using ecommerce

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About 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.

Categories: , ,

IBM Digital Analytics Integrations

Searchmetrics Suite

IBM Digital Analytics Competitors

AT Internet, Google Analytics, Adobe Analytics, Spinnakr, Webtrends Analytics

IBM Digital Analytics Technical Details

Operating Systems:	Unspecified
Mobile Application:	No

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IBM Digital Analytics Scorecard Summary

About IBM Digital Analytics

IBM Digital Analytics Integrations

IBM Digital Analytics Competitors

IBM Digital Analytics Technical Details