Briefs

CHICAGO, May 19, 2003 - SPSS Inc. (Nasdaq: SPSS), the leading provider of predictive analytics, today announced the immediate availability of Predictive Web Analytics(tm), a solution that enables organizations to transform their Web data into deeper customer intelligence. Unlike traditional Web metrics, Predictive Web Analytics provides meaningful historical and predictive insights, driving actions that maximize customer value and increase returns from Web investments.

SPSS Inc.'s Predictive Web Analytics solution integrates the company's new NetGenesis® 6.0 Web analytics platform with the proven predictive modeling capabilities of its Clementine® 7.0 data mining workbench. The combination of these technologies enables Predictive Web Analytics to move beyond simple Web metrics - such as page counts, unique visitors and referral information - to deliver insights that can be used to directly affect customer relationships.

Predictive Web Analytics provides four essential analytical capabilities: segmentation of visitors based on their behavior, detection of content and product affinities, automatic identification of the most significant paths taken through a Web site, and prediction of visitors' propensity - for example, to purchase, to view particular content, or to churn. By providing historical and predictive Web metrics, Predictive Web Analytics identifies opportunities that increase sales and improve customer satisfaction, enabling companies to quantify the return on investment (ROI) of complex Web initiatives.

For more information, visit www.spss.com.