Your retirement plan is a valuable resource for your employees and serves as a vehicle to attract and retain top talent. Ensuring plan success is crucial. Examining plan analytics can help evaluate its success.
Plan analytics you should explore:
Median age, tenure and savings rates of plan participants
These analytics can be helpful to determine which agegroups are not strongly participating and may be encouraged to do so via on-site meetings, focused mailings and other communication and education.
Participants not contributing sufficiently to receive all eligible employer match
Participants “leaving money on the table” can be studied to explain why contributing to the employer match maximum is so advantageous (e.g., with a 50 percent match, participants automatically earn 50 percent “return” on their contribution before any investment gains occur).
Participants, by age, in each target date fund
Another demographic that can be helped by focused participant communications.
Participants taking loans
It is important for plan fiduciaries to determine if the plan loan provision is being abused. This can result in significant asset leakage with participants and oversight concerns for plan fiduciaries.
Loan default rates
Loan defaults also create problems for participants (taxation & penalties for premature distributions) and plan fiduciaries (loan defaults at 90 days arrear are a fiduciary breach).
Dollar amounts of employee contributions by type and source
These analytics allow for a deep dive into appropriateness of participant behavior potentially impacting plan menu design decisions, employee investment assistance, Roth utilization, TDF utilization and more.
Many factors impact the success of your plan. Studying your plan’s analytics helps you improve your plan and ensures your employees reach their retirement goals.
Founded in the 1950s, Carroll Consultants, Ltd. provides investment advisory, retirement plan consulting and administration services to clients throughout the country. For further information about this article, please contact Marcie Carroll at email@example.com or (610) 225-1210.