Case Study: Rabobank achieves higher marketing returns and lower campaign costs with Presidion

Leading Bank Uses IBM SPSS Predictive Analytic Solution to Lower Costs and Generate Higher Returns On Marketing Campaigns

Rabobank, the largest financial services provider in the Netherlands, needed a better way to optimize customer and market data to support cross-sell, up-sell, and deep-sell campaigns. Presidion’s IBM SPSS predictive analytics software was used to help Rabobank understand individual customer behavior and improve direct marketing and lead generation across its banking network.

Presidion helped Rabobank implement predictive models that matched offers to the right customers and channels in real time. The result was more targeted campaigns, higher-quality leads, lower marketing costs, and faster execution, with marketing initiative completion time reduced by an average of two to four weeks.

Rabobank