Understanding and predicting mortality risk is a critical task in life insurance, with potential implications in market segmentation, underwriting, pricing, and inforce management. This paper reports findings from our study on the use of consumer data in predicting mortality risk. We discuss the following: 

• Consumer data and examples of its application
• Background on the types and usage of data
• Results of our study to understand the impact of incorporating consumer data into models formulated to predict mortality risk
• Methodology employed in the study