3 Ways to Give Better Advice by Understanding Behavior

Commentary December 16, 2024 at 02:43 PM
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What You Need To Know

  • Changes in lifestyle and behavior are exposing gaps in traditional approaches to retirement planning and life insurance.
  • Traditional customer segmentation by wealth brackets is outdated; firms should categorize clients based on behaviors and goals instead.
  • The right approach to AI can make advisors more productive while avoiding client mistrust.
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If you’ve ever squinted at price tags in the grocery store or on Amazon, searching for better value, but barely blinked at a bland letter about a 0.1% shift in your mortgage rate, which would have a much greater impact on your financial well-being, you’ve known the very definition of being “penny wise, pound foolish.”

This phenomenon, in behavioral economics, is known as “mental accounting”: it encompasses how we treat money differently, depending on its purpose. It’s just one example of the curious, idiosyncratic ways people engage with their finances.

For financial advisors, integrating a greater understanding of human behavior into guiding your clients is no longer optional — it’s essential. Here’s why.

Evolving Client Needs 

The world is changing rapidly. People are living longer, leading more flexible lives. Accenture Life Trends recently outlined how we are entering a "Decade of Deconstruction," where traditional life stages — such as starting a family, buying a home and retiring — are giving way to more fluid, multi-stage lifestyles. These changes in lifestyle and behavior are exposing gaps in traditional approaches to retirement planning and life insurance, where the conventional financial models responsible for securing the population’s wealth for retirement are less dependable, significantly increasing systemic risk.

For example, research has shown that today, nearly half of people plan for their lives less than a year ahead; and 43% of Americans are afraid of outliving their savings. Compounding these challenges are cognitive biases that make long-term financial decisions even harder. We tend to undervalue future costs and benefits, often leading to poor financial choices, such as procrastinating on retirement plan contributions or overspending after payday. To address these challenges, financial plans must not only help clients navigate these biases but also evolve their approaches to help clients meet their changing goals.

Rethinking Client Engagement

Over the past decade, digital interactions between consumers and financial institutions have surged 12-fold, emphasising the importance of the digital medium. However, many firms have struggled to build meaningful relationships through these platforms, often caught in a "sea of sameness," of jargon-heavy, commoditized offerings that leave many firms struggling to differentiate themselves.

The financial services industry is famous for using $50 terms for $0.05 concepts. Firms need to change the perception that investing is “hard” — clients are natural “cognitive misers” that prefer to expend as little mental energy on finding the right answer to their money needs as possible.

Moving into 2025, we are seeing an accelerating demand for faster, more intuitive financial advice. Increasingly, individuals are bypassing traditional institutions, opting for advice from influencers and online phenomenon like Fintok. With $72.6 trillion set to transfer from Baby Boomers to younger generations by 2045, wealth management firms must meet the expectations of tech-savvy clients who demand intuitive, hyper-personalized, services.

How to Integrate Behavioral Insights

From our extensive research, we have listed the three most effective approaches for firms to integrate into their service offerings today:

1. Redefine Client Segmentation

Wealth management firms should move away from rigid, product-centric models and embrace human-centered approaches that cater to individual behaviors and needs. Traditional customer segmentation by wealth brackets is outdated; instead, firms should focus on categorizing clients based on their behaviors, preferences and financial goals.

For example, many Americans hold most or all of their assets as cash in traditional checking and savings accounts. While this might seem like a safe choice, it is a costly long-term decision, as these funds are not being optimally invested for growth.

By using behavioral segmentation, firms can offer tailored advice that helps clients allocate their resources more effectively.

2. Design With Cognition in Mind

By integrating behavioral insight into financial product design, financial institutions can begin to have clients’ behavioral tendencies work for them, rather than against them. For example, many people struggle with the complexity of financial products, often leading to poor decision-making.

To address this, wealth management firms need to embed an understanding of consumer behavior into the design of their interactions or “choice architecture.” A shift to designing based on an understanding of people’s limited cognitive bandwidth is one example where significant gains can be made to drive engagement and better outcomes for customers.

A practice that started with developing ‘nudges’ to improve things like retirement savings behavior has now been incorporated into digital services. Platforms like WealthSimple have gained popularity by presenting financial decisions in clear, easily digestible formats. By reducing jargon, clarifying pricing structures, and streamlining the user experience, financial institutions can help a broader audience engage with financial planning and make better-informed decisions.

3. Use AI the Right Way

Generative artificial intelligence (AI) offers significant potential for wealth management, but applications must be designed with clear business outcomes and customer behavior in mind. For example, many investors seek human advisors to alleviate the psychological burden of managing their finances, and there is still a trust gap when it comes to AI-generated advice. In fact, 51% of U.S. investors say they do not trust AI-driven financial advice without human oversight. Younger generations, especially Gen Z and millennials, are more comfortable with AI, but are still more likely to follow advice when it comes from a human finance professional.

Real value can be driven through the application of generative AI to support advisors, enabling them to provide more holistic, efficient advice through improved information synthesis and retrieval processes to better support clients. This approach not only improves client satisfaction, but also enhances the advisor’s role, making it more focused and productive, while reducing cost-to-serve. The improved efficiency enables the delivery of high-quality services to a broader range of consumers.

The Future of Financial Advice

As people live longer and plan less predictably, the demand for intuitive, personalized financial services will only grow. By integrating behavioral insights into their offerings, wealth management firms can meet the shifting needs of their clients and gain a competitive edge in a rapidly evolving market, to grow and maintain their customer base and increase the scale of their assets under management.

Colm Mulcahy is a research specialist and behavioral economist at Accenture's global R&D innovation center, The Dock. Scott Reddel is capital markets industry lead at Accenture.

Accenture’s Richard McNiff and Saira Shariff contributed to this article.

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