Description: The article summarizes results of a Milliman survey per the title. These products comprise about 40% of the total individual life market, and the survey covers a range of topics on these plans, which should be of interest to a large portion of the life industry.

Description: As we further explore how life insurance customers think and behave, we can address their needs more effectively. Using data and predictive analytics we can better identify groups to target. By embracing technology and approaching customers with the right distribution channels based on preference, we can make life insurance more accessible. We can speak the customers' language. We can understand that they are not all created equal, and tailor products to meet individual needs. In short, we can leverage data, research and technology to become very consumer centric. Getting closer to the customer, can we lower the perceived cost, and raise the perceived benefit of life insurance to a point where customers get excited? Will this not then be a product to buy, not sell?