Insurance companies have long based their pricing models and strategies on assumptions about the demographics of their customers. Auto insurers, for example, have traditionally charged higher premiums for parents of teenage drivers based on the assumption that members of this demographic are more likely to get into an accident.
But those assumptions are inherently flawed, since they often aren’t based on the actual behaviors and characteristics of individual customers. As new IoT technologies increasingly move into the mainstream, insurers are able to collect and analyze data to more accurately price premiums, helping them to protect the assets they insure and enabling more efficient assessment of damages to conserve resources.
A new report from BI Intelligence explains how companies in the auto, health, and home insurance markets are using the data produced by IoT solutions to augment their existing policy pricing models and grow their customer bases. In addition, it examines areas where IoT devices have the potential to open up new insurance segments.