Case Study: Getin Noble Bank boosts savings deposits by 20% with IBM analytics

Personalizing offers to meet customers’ specific banking needs raises savings deposits by 20 percent

IBM assisted Getin Noble Bank, a retail bank in Poland, which faced the challenge of market saturation and rising customer demand for better service. To continue its growth, the bank needed a more efficient, automated method for customer segmentation to create tailored product offers and run effective marketing campaigns.

The solution from IBM involved implementing predictive analytics and automated campaign management solutions, including IBM Campaign, IBM SPSS, and IBM InfoSphere. This allowed the bank to analyze customer activity and create highly personalized offerings. As a result, IBM helped Getin Noble Bank raise its savings account funds by 20 percent, increase active cards by 1.7 times, and boost transactions on those cards by 2.5 times, while also enhancing its reputation as a leading retail bank.

Getin Noble Bank