Hypothetical insights

The Benefit Profile confirms that a fictional metal employer in a Midwestern state offers long term disability benefits plan with a higher salary replacement percentage than the industry and regional average. This insight allows the employer to either promote that detail to current and prospective employees or adjust the plan to create a more affordable option for employees that remains in line with industry peers.
A broker may know that 30% of an employer's overall workforce is enrolled in optional life insurance. However, the broker may not know whether a particular demographic of that workforce remains underserved. Segmenting employee participation by age, gender, and income, the Benefit Profile helps identify such a potential group, for example workers earning less than $30,000 annually. This insight could lead to a more focused enrollment and communications strategy targeting certain segments of the employee population.
A hospital in the Southeast is considering adding new benefits to its benefits program, but is unsure which product to add next. The demographic analysis in the Benefit Profile determines that the workforce contains a high proportion of women and employees over age 40. After reviewing incidence data for a variety of voluntary products within the Benefit Profile, the employer decides that critical illness coverage would be a good fit for its employee population.

As one of the leading stop-loss providers in the U.S., Sun Life is also developing a stop-loss analytical tool to help brokers support self-funded employers, and employers that are considering becoming self-funded.

Special Reports /

Sun Life launches 'big data'-based benefits planning tool

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