Case Study: Le4nsff6rse4kringar achieves more accurate, efficient customer campaigns with Presidion and IBM SPSS predictive analytics

Swedish insurance company shifts from two nationwide direct marketing campaigns a year to 13 a day thanks to IBM SPSS predictive analytics software

Lansforsakringar, Sweden’s customer-owned insurance and banking group, needed a more systematic way to analyze customer data and improve campaign selection. Its marketing decisions had relied heavily on sales experience, and gathering insights from multiple data sources was inefficient and administratively cumbersome. Presidion’s IBM SPSS predictive analytics software was used to help address this challenge.

Using Presidion’s IBM SPSS Modeler and predictive analytics tools, Lansforsakringar was able to analyze large volumes of customer data, identify behavior patterns, and build models to predict customer interest in specific insurance products. The results were significant: analyst work that took a week was reduced to a day and a half, analytical results became up to four times more reliable, and the company increased from two nationwide direct marketing campaigns per year to 13 customer-specific campaigns a day.

Lansforsakringar

Ola Gustafsson

Customer Data Analyst