The New Landscape in Business Banking

Small Business Banking customers have one of the lowest satisfaction levels in financial services. Yet, satisfaction can rise dramatically when a banker demonstrates a complete understanding of the client’s business.  As a result, intuition and gut-feel are no longer sufficient for covering Business Banking clients.  Winning in the current climate calls for a scientific, data-driven approach to capturing the full share-of-wallet in the segment.  

WHITEPAPER
Banking on Predictive Sales Intelligence: Six Steps to Data-Driven Selling in Business Banking

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This whitepaper outlines six steps to implement a data-driven approach for targeting and engaging with Business Banking clients:  

1.  Measure sales activities and outcomes to maximize 'return on
     selling time' 

2.  Deliver account-specific recommendations to bankers when and
     where they need it 

3.  Apply predictive analytics to uncover behavioral and purchase
     patterns that enable front-line teams to target the right
     accounts, at the right time, with the right contextual messaging

4.  Create a 360° view of prospects and clients  

5.  Integrate the broadest array of internal and external data    

6.  Discover the surprisingly large universe of accessible and
     predictive external data for Business Banking

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