How Personalized Longevity Estimates Transform Social Security & Retirement Planning

When:  Jun 18, 2026 from 12:00 to 13:00 (ET)

The June 2026 Financial Counseling call with AFCPE and FPA will be held on Thursday, June 18th at 12 pm ET.

Guest speaker Jeremy Ko will be presenting, "How Personalized Longevity Estimates Transform Social Security & Retirement Planning."

Most retirement plans rely on generic life expectancy assumptions—yet no two clients live the same life. This webinar reveals groundbreaking new research showing the measurable value of using personalized lifespan projections to optimize retirement income strategies, improve client outcomes, and strengthen advisor-client trust.

In this session, K. Jeremy Ko, PhD will discuss how demographic and health-based longevity modeling dramatically improves Social Security claiming decisions. The featured study, using respondents from the University of Michigan Health and Retirement Study, found that personalized longevity projections increased average lifetime Social Security benefits by $9,000 for women and $12,000 for men compared to traditional planning methods. You’ll discover how individualized lifespan assessments:

* Reduce the risk of clients outliving their money

* Enhance precision in withdrawal rate planning

* Improve Social Security claiming ages—outperforming both standard actuarial tables and commonly recommended ages

* Boost overall retirement income security

* Build deeper alignment between advisors and clients through data-driven, personal insights

* The program also includes demonstrations of online tools that generate personalized lifespan estimates and instantly integrate them into optimized Social Security claiming strategies.

K. Jeremy Ko has served as an expert in consumer and behavioral finance for over twenty years in industry, regulatory, and academic settings. He is currently developing predictive models for retirement planning as CEO of the fintech firm, ShoreUp Retirement Solutions. His past professional experiences include a leadership position at the top robo-advisory investment firm - Edelman Financial Engines and an academic position as an assistant professor of finance at Penn State University’s Smeal School of Business. He received his Ph.D. in financial economics from MIT’s Sloan School of Management.


Location