[April 24, 2007] Virgin Mobile Rings In Next-Generation Marketing with SPSS Tweet CHICAGO --(Business Wire)-- Virgin Mobile, the United Kingdom's leading virtual network operator, has selected market-leading predictive analytics software to drive marketing campaign optimization and reduce customer churn. The software from SPSS enables Virgin Mobile to analyze its customer data and the results of previous direct marketing campaigns to identify appropriate customer segments for new marketing initiatives targeted at the mobile operator's 4 million customers. Virgin Mobile undertakes more than 100 marketing campaigns each year. By identifying the most appropriate customers for each of these, the mobile operator will be able to lower campaign costs, reduce customer churn and increase revenue per user from event-triggered marketing activities. For example, customers who add additional minutes by a certain amount and are likely to churn can be sent a text message reminding them of the benefits of Red, Virgin Mobile's rewards scheme, at or close to the time they re-up their minutes, rather than within an ad hoc campaign. SPSS' predictive analytics software provides Virgin Mobile with a better understanding of its customers by combining information on past circumstances, present events and projected future actions. This gives the mobile operator a complete view of its customers and enables the company to adequately anticipate individual customer behavior and needs. For example, Virgin Mobile can predict the likelihood of a customer leaving and take measures to prevent this. "As the competition continues to heat up in our industry, driving customer loyalty will be the difference between success and failure," said Caroline Schmidt, CVM controller at Virgin Mobile. "We could only improve the effectiveness of our CRM activity by knowing our customers better." Schmidt continued: "SPSS' predictive analytics solution enables us to get closer to our customers and predict which campaign will work best for each one. It's a win-win situation: customers only receive the communications they are likely to respond to and we achieve higher response rates and a greater return on investment for each campaign. This is true next-generation CRM." "If organizations expect to survive in today's commoditized world, a fresh approach to CRM is critical," added Jack Noonan, SPSS president and CEO. "Companies like Virgin Mobile are setting new standards for 21st century customer management by not only analyzing the effectiveness of each campaign, but also using this information to predict future results. This will help to reduce customer churn, improve ROI from marketing initiatives and drive cross-sell revenue." About Virgin Mobile Virgin Mobile is the UK's leading mobile virtual network operator (MVNO) with more than four million customers. Dynamic and popular, it was the first consumer brand to enter the mobile marketplace when it opened for business in November 1999. About SPSS SPSS Inc. (Nasdaq: SPSS) is a leading global provider of predictive analytics software and solutions. The company's predictive analytics technology improves business processes by giving organizations forward visibility for decisions made every day. By incorporating predictive analytics into their daily operations, organizations become Predictive Enterprises--able to direct and automate decisions to meet business goals and achieve a measurable competitive advantage. More than 250,000 public sector, academic, and commercial customers rely on SPSS technology to help increase revenue, reduce costs, and detect and prevent fraud. Founded in 1968, SPSS is headquartered in Chicago, Illinois. For additional information, please visit www.spss.com. SPSS Safe Harbor Statement This press release contains forward-looking information made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward looking statements can be identified by phrases such as "anticipates," "believes," "estimates," "expects," "plans," "intends," "could," "designed," "should be" and other similar expressions which denote expectations of future events rather than statements of fact. These forward-looking statements involve factors that are subject to risks and uncertainties. These risks and uncertainties, which may not be currently ascertainable and many of which are beyond SPSS's control, may cause SPSS's actual results, performance or achievements to be materially different than the results, performance or achievements expressed in or implied by the forward-looking statements. 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