Description: Learn more about the predictive modeling that was applied to industry data for the lapse and mortality experience in the post-level term period. Novel approaches were taken to model the shock lapse, subsequent lapse, and mortality experience. Observe a demonstration of the Tableau tool, which was built to allow users to analyze data on their own.

Description: We're introducing a new “cutting edge” wealth accumulation predictive framework, the predictive equity analytics (PEA) for life products (annuity, insurance, group employer benefits, retirement plan). PEA enables life insurers and policyholders to avoid market downturns and capture returns from equities (stocks, ETFs and mutual funds) predicted to increase in next one to three trade days via fund prediction advisory by insurers, additionally by individual policyholders. The capability does not exist in insurance markets nor in financial intermediary markets.

Description: ReMark's Global Consumer Study delivers 10 key insights to empower customers. Insurers can design products that meet customers' needs and enhance client experiences and add significant value to their business. At the same time with new products being launched seemingly continuously, it is important to take a step back and assess risk throughout the product management cycle.

Description: Today’s most admired brands in several industries not only provide sales and service but also continually keep in touch with their customers to foster trust and build long-term relationships. Life insurers have traditionally played the sole role of manufacturer while leaving customer engagement to intermediaries. Some would argue that engagement is merely a marketing tool. Others say the time and effort invested in customer engagement programs has not produced any tangible benefit. What is the truth? During this webcast, you will: Learn about actionable ideas Hear real-life success stories in creating meaningful relationships that deliver value to both customers and businesses