Case Study – Länsförsäkringar
- IBM SPSS Modeler
“IBM SPSS predictive analytics software has given us the means to learn systematically from our experience. By learning from the history, we can know today who will buy a given product in the future.”
Ola Gustafsson, Customer Data Analyst, Länsförsäkringar
Swedish insurance company shifts from two nationwide direct marketing campaigns a year to 13 a day thanks to IBM SPSS predictive analytics software.
Länsförsäkringar is Sweden’s only customer owned and locally anchored bank and insurance group, providing a complete range of banking and insurance services to its private and corporate clients, as well as farmers. The company offers total solutions based on different combinations of non-life insurance, accident and medical insurance, life assurance, pension-saving plans, fund savings and various banking services.
Länförsäkringar wanted a more systematic way to analyze its wealth of customer data and to generate insights that would help optimize marketing campaigns and other customer interactions.
Länsförsäkringar implemented IBM SPSS predictive analytics software to analyze large quantities of data from various data sources and effectively identify different patterns of customer behavior.
Enhanced efficiency of the analyst team – analysis work which previously required a week to complete is now done in a day and a half.
Qualitative improvement of the campaign selection process, with results that are up to four times more reliable.
Länförsäkringar has moved from executing two nationwide direct marketing campaigns per year to running 13 unique, customerspecific campaigns a day which are used for face-to-face meetings with customers.
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