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?

Description: Discussion of the current state of U.S. individual life insurance new premium sales.

Description: Chairman’s corner addressing the many recent external events which have impacted the level of trust in the insurance industry and how this affects product and marketing success for the industry.

Description: International case study discussing life insurance in Ghana.