Financial services technology firm Fiserv has introduced a predictive modeling solution providing a view of a customer relationship based on their account-level data, online and mobile banking activity, and debit card and electronic bill-paying habits.The new 'Predictive Scores' tool analyses multichannel transaction and other data, and Fiserv says it can be used to boost the response rates and ROI of marketing campaigns through more precise targeting of 'ready to buy' customers. Other suggested uses are increasing adoption of digital/mobile banking tools, and identifying the highest-value prospective customers.
Danny Baker (pictured), the firm's VP of Financial and Risk Management Solutions, comments: 'The unique combination of data science and big data is what sets our solution apart. The knowledge gained from Predictive Scores provides more accurate, detailed support for building and managing customer-centric growth strategies, particularly for acquiring new customers and expanding existing relationships.'
Web site: www.fiserv.com .
All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.
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