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Normalizing Retirement Savings Habits

Normalizing Retirement Savings Habits

| April 05, 2021
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What does all this say about retirement readiness in America? More importantly, what does it indicate about the effectiveness of workplace retirement plans?

The data above clearly demonstrates that for far too long and far too many Americans, reaching a successful replacement retirement income has been the exception, not the norm. So, it stands to reason that employers must reimagine the function of their company’s retirement plan to help “normalize” saving for the future.

Employers should evaluate their plan’s value through the lens of helping more employees retire on time and with dignity. That means getting employees to recognize that saving for retirement isn't “optional” if they want to stop working someday. It also means providing them with the right tools toward helping them save enough to replace their income for 10, 20, 30 or more years. 

The case for automatic features

How can employers more effectively help employees build adequate retirement savings? It isn’t complicated.

Employers have a ready-made tool in their arsenal that vastly simplifies retirement savings: automatic plan design features. These include auto enrollment, auto escalation and auto-diversification through qualified default investments, such as target date funds.

Auto features have become a best practice in retirement plan design to help improve employee participation and savings rates. In fact, two-thirds of employers who have adopted auto features have experienced a direct benefit to plan outcomes.[4]

Is it better for employers to use auto features to help employees make sound financial decisions for the future? The short answer is yes. Let us show you how.

Help your employees start

With automatic enrollment, employees are enrolled into the plan without needing to take any action — unless they opt out. One obvious benefit of automatic enrollment is that it drives higher participation rates; in fact, plans with this feature have an average participation rate of 87%.[5]

In most cases, employees are enrolled at a default deferral rate of between 3-6%[6], and their contributions are directed to a diversified qualified default investment alternative, such as a target date fund.


Help them save more

In addition, employers can use auto escalation, another plan design feature, to help improve employees’ savings rates over time. The typical default increase is 1% per year. While automatic enrollment improves savings rates, adding auto escalation boosts the impact.

In plans with neither automatic enrollment nor auto escalation, only 44% have savings rates above 10% (including both employee deferrals and employer matching contributions). In plans that implement automatic enrollment only, the percentage of participants with savings rates above 10% increases to 67%. However, where plan sponsors have implemented both automatic enrollment and auto escalation, that percentage rises to 70%.[7]

Help them diversify

Finally, auto-diversification rounds out the auto feature trifecta. Often, this looks like automatically investing participant contributions into a qualified default investment alternative (QDIA) like a target date fund (TDF) or managed account.

This typically occurs when a participant has not made an investment election on their own. Automatically directing contributions to a target date fund or similar investment that is appropriately diversified for a participants’ age and stage of life enables them to appropriately invest for retirement, even though they haven’t actively selected their own investments.

Most TDFs also have an automatic rebalancing feature, so the participant’s portfolio remains properly invested based on their anticipated retirement date, regardless of market performance.

Plan effectiveness is measured by outcomes

Automatic features are a helpful plan design tool that employers can implement to assist employees in getting on track toward having the income they need to retire in comfort. In addition, it’s important for employers to evaluate their plan’s effectiveness based on retirement readiness — because outcomes are what truly matter.

Once auto features are in place, employers should also pay careful attention to plan health metrics, such as projected monthly income (PMI) - an illustration of a participant’s estimated monthly income stream in retirement based on their current savings. Participants with low PMIs may be at greater risk of not adequately replacing their income in retirement.

Another metric, the income replacement ratio (IRR), provides a glimpse of retirement readiness based on a specific income replacement percentage, such as 70%, using current and projected savings. Participants with low IRRs may be at greater risk of running out of money in retirement.

Understanding these metrics and the positive impact of auto features can help you evaluate your participants’ retirement readiness — and your plan’s effectiveness. With these insights, you can intelligently architect your plan to “normalize” retirement savings and help your employees work towards successfully achieving their retirement goals.

This information was developed as a general guide to educate plan sponsors and is not intended as authoritative guidance or tax/legal advice. Each plan has unique requirements, and you should consult your attorney or tax advisor for guidance on your specific situation.

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[1]National Endowment for Financial Education (NEFE)/Harris Poll Survey. April 2020.

[2]Employee Benefit Research Institute (EBRI). “2019 Retirement Confidence Survey.” April 2019.

[3]Transamerica Center for Retirement Studies. “19th Annual Transamerica Retirement Survey: A Compendium of Findings About U.S. Workers.” December 2019.

[4]DCIIA. Plan Sponsor Survey, 5th edition. April 2020.

[5]Alight. 2020 Universe Benchmarks Report. June 2020.

[6]Correia, Margarida. “PSCA: 401(k) participants hike deferral rates again.” Pensions & Investments. Dec. 18, 2019.

[7]DCIIA Fourth Biennial Plan Sponsor Survey Auto Features Continue to Grow in Popularity.” December 2017.


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