Main News Desk

Next looks to SPSS to enhance marketing effectiveness

July 02, 2009

Next has selected technology from SPSS, the leading worldwide provider of Predictive Analytics software and solutions.

The retail giant is using SPSS Predictive Analytics Software to undertake detailed analysis of its customer base to further develop online and offline marketing effectiveness.

SPSS’ data mining technology enables Next to analyse customer behaviour and use this information to produce more tailored content.

Executive quote

"Online sales is a highly competitive space, and customer retention and conversion is a tough challenge for any business," said Colin Shearer, senior vice president of strategic analytics at SPSS. "Using our technology, Next is able to extract intelligent information about its customers and use this to proactively adapt its approach to internet-based channels, boosting sales and profitability."

About the company

SPSS Inc. is a leading global provider of Predictive Analytics software and solutions. The Company’s complete portfolio of Predictive Analytics Software (PASW) products – data collection, statistics, modeling and deployment – captures people’s attitudes and opinions, predicts outcomes of future customer interactions, and then acts on these insights by embedding analytics into business processes. SPSS Solutions address interconnected business objectives across an entire organization by focusing on the convergence of analytics, IT architecture and business process. Commercial, government and academic customers worldwide rely on SPSS technology as a competitive advantage in attracting, retaining and growing customers, while reducing fraud and mitigating risk. Founded in 1968, SPSS is headquartered in Chicago, Illinois. For more information, please visit www.spss.com .

Contact details

Alex Clough at LEWIS, the PR agency
Tel: +44 (0)161 457 2050 Fax: +44 (0)161 457 2051
Email: spssuk@lewispr.com
Website: www.lewispr.com


Technorati tags: SPSS | Next | predictive analytics | marketing | customer |

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