Big Data. Big Decisions
InformationWeek
Special Coverage Series


IBM To Buy Marketing Management Firm Unica

Campaign analysis and automation firm will stoke competition with SAS, Teradata and Adobe.

IBM announced Friday a definitive agreement to buy Unica Corporation, a Waltham, Mass.-based provider of software and on-demand services for analyzing and delivering targeted marketing campaigns.

Pending Unica shareholder approval, the $480 million cash-for-stock deal will bring IBM expertise and technology for predicting customer preferences and developing personalized marketing campaigns into the IBM portfolio. The assets are seen as complementing IBM's earlier acquisitions of ILog for business-rule and optimization technology, SPSS for analytics, Sterling Commerce for order management and Coremetrics for Web analytics.

"Companies are increasingly investing in technology to automate and manage the process of marketing planning and execution," said Craig Hayman, general manager of IBM Industry Solutions. "[Combining Unica] with Coremetrics, Sterling Commerce, SPSS and ILog, you can see how we're now able to connect outbound marketing campaigns all the way through to order management and distribution centers."

Unica has more than 1,500 customers, including Best Buy, eBay, ING, Monster, Starwood and US Cellular. The company's customer list is studded with large firms, but CEO Yuchun Lee says Unica Enterprise software and the Unica On-Demand service are also used by small and midsize firms to make better use of available marketing funds.

"Organizations around the world now spend around $2 trillion on marketing each year, and most of that money is wasted," said Lee, who will join IBM and continue to lead Unica. "With the customer's previous purchase transactions and their behavior, we can understand what they're really looking for."

Best Buy uses Unica's software to analyze and target messages across channels. If the company sees that an affinity-club customer has researched home theater equipment at BestBuy.com, it can tailor e-mail or direct mail campaigns to highlight these systems. And if a customer purchased a smart phone at a store or online, the next campaign might highlight Bluetooth headsets. Beyond obvious product and behavior associations, Unica can also refine messaging for customer personas and segments such as affluent suburban moms or affluent urban males.

Unica's primary competition is a hodgepodge of manual methodologies, Lee said, but he noted "niche" competitors including SAS and Teradata in campaign management and Adobe (Omniture) in Web analytics.

The Unica deal is an acknowledgement that IBM needed to "fill a gap" in its portfolio, said SAS Director of Worldwide Marketing, Jonathan Hornby, in a statement. "IBM is late entering an already mature market and won't be ready to execute against it any time soon," he said.

Hayman said IBM already had partnerships with Unica and is poised to help it penetrate fast-growing markets outside of North America and Europe, where the firm currently does most of its business. Once the deal is completed, Unica's 500 employees will be integrated into IBM's Software Solutions Group and will remain in the Boston area. Hayman said IBM is now the third-largest technology employer in Massachusetts.



Related Reading


More Insights




Currently we allow the following HTML tags in comments:

Single tags

These tags can be used alone and don't need an ending tag.

<br> Defines a single line break

<hr> Defines a horizontal line

Matching tags

These require an ending tag - e.g. <i>italic text</i>

<a> Defines an anchor

<b> Defines bold text

<big> Defines big text

<blockquote> Defines a long quotation

<caption> Defines a table caption

<cite> Defines a citation

<code> Defines computer code text

<em> Defines emphasized text

<fieldset> Defines a border around elements in a form

<h1> This is heading 1

<h2> This is heading 2

<h3> This is heading 3

<h4> This is heading 4

<h5> This is heading 5

<h6> This is heading 6

<i> Defines italic text

<p> Defines a paragraph

<pre> Defines preformatted text

<q> Defines a short quotation

<samp> Defines sample computer code text

<small> Defines small text

<span> Defines a section in a document

<s> Defines strikethrough text

<strike> Defines strikethrough text

<strong> Defines strong text

<sub> Defines subscripted text

<sup> Defines superscripted text

<u> Defines underlined text

BYTE encourages readers to engage in spirited, healthy debate, including taking us to task. However, BYTE moderates all comments posted to our site, and reserves the right to modify or remove any content that it determines to be derogatory, offensive, inflammatory, vulgar, irrelevant/off-topic, racist or obvious marketing/SPAM. BYTE further reserves the right to disable the profile of any commenter participating in said activities.

Disqus Tips To upload an avatar photo, first complete your Disqus profile. | View the list of supported HTML tags you can use to style comments. | Please read our commenting policy.

Follow InformationWeek

By The Numbers

What Are Your Primary Concerns About Using Big Data Software?

Base: 417 respondents at organizations using or planning to deploy data analytics, BI or statistical analysis software
Data: InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals, October 2012

What Do You Think?

What's your attitude about SQL analysis on top of Hadoop?
We want fast, standard SQL analysis capabilities on Hadoop ASAP
Hadoop is for unstructured data; SQL is for relational databases
We'll give SQL on Hadoop a try, but relational DBs will remain the mainstay
Given strong SQL support on Hadoop, we'd nix the data warehouse
We're not interested in Hadoop
No opinion



Related Content

From Our Sponsor

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Five Big Data Challenges and How to Overcome Them with Visual Analytics

Business leaders often need a visual snapshot of data to quickly grasp and use it. This paper identifies five challenges in presenting data and how visual analytics can resolve them. Solutions are suggested to overcome the challenges of: speed, data clarity, data quality, displaying meaningful results, and dealing with outliers.

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Game-Changing Analytics: How IT Executives Can Use Analytics to Create Innovation and Business Success

Today's competitive advantage requires a deeper understanding of your business, your market and your customers. As an IT executive, you can drive that knowledge transformation. In this white paper, learn how to make decisions as a strategic business leader and three steps to begin an analytics initiative within your enterprise.

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

Data Visualization Techniques: From Basics to Big Data with SAS Visual Analytics

High-performance data visualization turns sophisticated analyses into meaningful graphics, leading to faster and smarter decision making. In this white paper, learn how visual analytics can transform big data, with additional features such as real-time functionality, mobile compatibility, robust applications for technical groups and accessibility for nontechnical users.

Big Data: Lessons from the Leaders

Big Data: Lessons from the Leaders

Financial performance, competitive advantage, operational efficiency, strategic decision making - every business goal can extract value from big data, and the time for doubt or inaction has long passed. In this Economist Intelligence Unit report, in-depth interviews with data pioneers reveal the link between the effective use of big data and the bottom line among other results.

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Decision-Driven Data Management: A Strategy for Better Decisions with Better Data

Which came first, the data or the decision? This white paper makes the case for having a decision in mind, then tailoring big data's volume, variety and velocity to achieve business results such as overcoming customer dissatisfaction or creating well-informed strategies in real time.

Informationweek Reports

Research: The Big Data Management Challenge

Research: The Big Data Management Challenge

The challenge of big data is real, but most organizations don't differentiate 'big data' from traditional data, and nearly 90% of respondents to our survey use conventional databases as the primary means of handling data. We'll help you understand what constitutes big data (it's not just size) and the numerous management challenges it poses.