Getin Noble Bank S.A. Personalizing offers to meet customers’ specific banking needs raises savings deposits by 20 percent
Company Size
1,000+
Region
- Europe
Country
- Poland
Product
- IBM InfoSphere
- IBM Campaign
- IBM PureData System for Analytics
- IBM SPSS
- IBM Storwize V7000
Tech Stack
- Predictive Analytics
- Automated Campaign Management
- Customer Segmentation
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Brand Awareness
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Finance & Insurance
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Replenishment
Services
- Data Science Services
- System Integration
About The Customer
Headquartered in Warsaw, Poland, Getin Noble Bank S.A. is a retail bank specializing in customer and mortgage loans for private customers and small and midsize businesses. The bank operates more than 500 branches across the country. Founded through a merger between Getin Bank and Noble Bank in 2010, Getin Noble Bank serves approximately 2.2 million customers.
The Challenge
Getin Noble Bank S.A. experienced several years of rapid growth, at twice the pace of the rest of the Polish banking sector. As the market became saturated, customers demanded a higher level of service. To create tailored product offers to meet their needs, the bank needed a more efficient and automated method of customer segmentation. It also wanted to develop effective campaigns with repeatable and predictable results.
The Solution
Getin Noble Bank uses predictive analytics and automated campaign management solutions to analyze customer activity and create tailored offerings, helping the bank improve acceptance rates and reducing customer frustration at receiving irrelevant offers. More personalized service and novel product offerings such as its Getin UP portfolio of innovative, techno-savvy services also enhanced the bank’s reputation as a leading retail bank in Poland.
Operational Impact
Quantitative Benefit
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