Behavioral Science
  • Articles
  • August 2024
  • 8 minutes

Searching for Simplicity: Improving customer comprehension in life insurance through behavioral science

A lit red lightbulb, surrounded by other red lightbulbs
In Brief

The complexity of information in the life insurance sales journey poses significant challenges to industry growth. Past attempts to simply the process often resulted in increasing this complexity. Behavioral science offers a solution.

This article, originally published in August 2024 edition of Reinsurance News from the Society of Actuaries®, summarizes the results of an extensive SOA/RGA research report.
Read the full "Searching for Simplicity" report

Key takeaways

  • Insurers would be well served to design customer journeys that align with a customer’s mental processing, enabling well-informed decision making.
  • Adopting behavioral science techniques that work in other contexts and in combination making information easy to understand, timely, salient, and relevant – can improve comprehension.
  • Leveraging dynamics such as engaging video and messenger influence can prove valuable for effectively delivering life insurance information.

 

Behavioral science offers a solution. By integrating insights from psychology, economics, neuroscience, and sociology, behavioral science helps explain how individuals process information and make decisions. These insights can then be used to increase customer understanding of life insurance products and improve the customer journey. Although behavioral science applications have been common in aspects of life insurance such as underwriting, its potential use in product development is less explored. RGA’s behavioral science team aims to bridge this gap.

In collaboration with the Society of Actuaries Research Institute, RGA’s Behavioral Science team designed two experiments with U.S.-based participants to explore how behavioral science techniques can improve comprehension in life insurance purchasing journeys. The first experiment aimed to increase understanding of term life insurance via simulated online digital journeys. Building on the findings of the first, the second experiment investigated the effects of using both human and AI-generated videos. While the research focused on digital delivery of term life insurance, the relevance of tested techniques extends further, providing insights for improving information presentation for other insurance products and in non-digital formats.

Our exploration yielded several innovative approaches to boosting comprehension:

  • Beyond simplification: Combining simplification with behavioral science techniques is crucial, as simplifying language alone is insufficient to improve comprehension.
  • Enhanced salience: Making information salient by using FAQs or engaging visuals raised overall content comprehension by 21%.
  • Relevance is key: Making content relevant by including user-specific tools such as premium calculators elevated comprehension of all information by 28%.
  • Video as a catalyst: Human-centered video content boosted comprehension by 15% when paired with other behavioral techniques.

While our work identified opportunities for insurers to improve customer comprehension, additional work is needed to further narrow the comprehension gap.

Delve into the full SOA/RGA report to discover how two innovative behavioral science experiments offer practical insights insurers can put to use today.

The comprehension challenge in life insurance journeys

Life insurance, once a mainstay of financial planning in American households, now faces significant challenges. The decline of life insurance ownership, which has dropped from 63% in 2011 to 51% in 2024,1 indicates a diminishing perception of its value despite its crucial role in providing financial security after a loved one’s death. The resulting protection gap particularly affects underrepresented demographics such as women, Hispanic and Black Americans, and millennials, who often remain underinsured.

The traditional method of selling life insurance through agents and advisors, who for generations played a key role in educating and instilling confidence in consumers, is declining.

This shift toward digital channels, although convenient, often lacks the information and decision-making support necessary for customers to fully appreciate and understand life insurance benefits. As the industry faces an aging workforce and high attrition rates among new agents, insurers must innovate their marketing and sales strategies, utilizing both digital and traditional methods to effectively communicate the value of life insurance, bridge the understanding gap, and secure the industry’s future.

A behavioral science lens on comprehension

Humans, constrained by finite cognitive resources, juggle myriad daily tasks that require varying degrees of mental effort. These cognitive resources, crucial for functions like attention and decision-making, are not limitless.2 Still, everyday tasks are managed routinely, often without conscious deliberation. This is what psychologists call "System 1," or fast thinking.3 This automatic, fast-paced processing mode handles straightforward decisions effortlessly. More complex decisions, such as those involving mathematical calculations or intricate trade-offs, activate "System 2," or slow thinking, a more deliberate and logical approach.

To make decisions efficiently, individuals often resort to mental shortcuts known as heuristics.4 For instance, a person might decide whether to purchase a product based on the emotional appeal of the marketing rather than logically weighing benefits against drawbacks. Moreover, decisions can be swayed by the ease with which instances come to mind, a phenomenon termed the availability heuristic. This heuristic explains why many people overestimate the likelihood of rare events like terrorist or shark attacks but underestimate common risks such as car accidents. The intricate details required to make informed decisions about purchasing life insurance typically prompt the use of heuristics, many of which may be beneficial but some that may not.

For insurers, recognizing the dual roles of System 1 and System 2 thinking can improve customer comprehension and decision-making processes.

By strategically designing customer journeys that align with these mental systems, insurers can enhance the accuracy of quick, intuitive judgments and encourage more thorough, logical reasoning when required. This dual approach not only clarifies the value proposition of insurance products but also empowers customers to make well-informed decisions.

Fast-Thinking approaches to comprehension

Adopting and testing behavioral science techniques that have worked in other contexts can help improve comprehension of life insurance information. The approaches we examined fall into four distinct strategies: Making information easy to understand, timely, salient and relevant.

Make it easy

Simplifying language, as many U.S. states mandate through plain-language requirements, ensures content is accessible and clear. Techniques such as using colloquial terms rather than technical jargon make the information more relatable and understandable. Structuring text with methods such as chunking and bullet points and crafting emotionally resonant content can significantly improve customer engagement and comprehension.

Make it timely

Presenting crucial insurance concepts at the moments customers need to comprehend them can increase understanding.

Make it salient

Drawing attention to key pieces of information through vivid imagery or structured layouts, such as layered webpage content, can greatly increase customer comprehension.

Slow-Thinking approaches to comprehension

The standard approach to digital transactions often involves speeding up sales processes by minimizing information presented. However, introducing "positive friction" into these journeys—deliberately slowing down interactions to require thoughtful engagement—may enhance customer comprehension. This concept involves designing interactions that disrupt automatic, mindless processing and foster deeper reflection and understanding.5

An example of positive friction is the use of additional verification screens in digital banking. These screens help ensure accuracy in transactions by confirming details, thus reducing errors and enhancing customer confidence. Psychological research further supports the efficacy of positive friction, demonstrating that deeper engagement with information, especially when integrated with pre-existing knowledge, significantly improves memory retention.6

Make it relevant

To make information easier to understand, personalizing the acquisition experience is key. Insurers can personalize the process by providing tools that allow users to control and interact with the information directly, such as calculators or interactive simulators, and adapt the journey to their personal context. Examples include the Australian Securities and Investment Commission's mortgage calculator and the Organisation for Economic Co-operation and Development’s pension simulator in Chile, which empower users to manipulate inputs and explore outcomes relevant to their situations. This strategic slowing and personalization of processes boost customers’ understanding by transforming their journey from passive receipt of information to active, meaningful participation.

The Messenger Effect: Using video and artificial intelligence to enhance comprehension

In today’s digital age, how information is delivered and who delivers that information are increasingly significant. Video is proving to be a powerful engagement tool, particularly among younger generations. Platforms like TikTok have revolutionized information dissemination, with billions of active users turning to such platforms for news and even financial advice.7,8,9

The “messenger effect” refers to how the credibility and likability of the person delivering a message can influence its reception.10,11 For example, during the COVID-19 pandemic officials turned to trusted local figures as messengers to enhance public trust and combat vaccine hesitancy. However, insurers should note that reliance on a messenger’s credibility might sometimes “audience distract” from critical details of the information provided, posing challenges in financial comprehension.12,13

Emerging as a new frontier in message delivery are avatars created via AI, which offer cost-effectiveness, customization, and rapid production. These digital messengers, while not without challenges related to the “uncanny valley”14 effect, are gaining traction in fields ranging from advertising to psychological therapy and have shown potential in enhancing engagement and trust among users.15,16

AI avatars can embody diverse representations that resonate with a broader audience, potentially reducing disparities in understanding and engagement among underrepresented groups.

As insurers continue to explore and refine approaches to improve the customer journey, understanding and leveraging these dynamics — video’s engagement power, the influence of the messenger, and the emerging role of AI avatars — may be crucial in effectively delivering life insurance information.

A woman in a red shirt leads a brainstorm
Interested in learning more about RGA's extensive work in applying behavioral science techniques to insurance? Let's talk.

Measuring comprehension via dual experiments

Diving into digital purchases, RGA’s Behavioral Science team developed experiments with U.S.-based participants to investigate ways to improve customer comprehension of term life insurance.

Experiment 1: Exploring communication simplification techniques throughout the digital journey

In this experiment, we simulated the term life insurance purchase process for 2,001 participants, aiming to optimize comprehension through various behavioral science techniques. We developed five prototypes of a term life insurance sales journey, each differing in language, information structure, examples, and visual aids. These variations helped identify the most effective elements in enhancing user understanding and interaction.

Experiment 2: Exploring video, AI, and messenger identity for presenting product information

The second experiment, involving 2,005 participants, focused on assessing the effectiveness of video (both human and AI-generated) as a communication tool in the insurance sales journey. We compared text-only formats and those including videos to evaluate improvements in customer comprehension. This experiment also explored the impact of the presenter’s identity (human vs. AI) on factors such as trustworthiness and credibility. Participants reacted to a human presenter and his AI counterpart (an avatar mimicking his appearance) to assess how the type of presenter influenced their perceptions.

Through these experiments, we aimed to identify which techniques would work best in improving comprehension of term life insurance as measured by 15 multiple choice questions.

Innovative findings through behavioral science

The findings revealed that only simplifying language and numbers is not enough to significantly improve understanding; instead, a combination of simplification and other behavioral science techniques is necessary. Notably, increasing the salience of information—using FAQs, visually appealing icons, and engaging text—improved comprehension of all content by 21%. This underscores the value of strategic use of such techniques to highlight critical information.

Moreover, introducing "positive friction"—deliberately engaging customers with important but complex content—markedly boosted comprehension. Until now, the industry generally has focused on streamlining the customer journey to hasten the sales process. However, this research indicates that slowing down the process and making content relevant enhances understanding significantly, increasing overall comprehension by 28%. This approach challenges traditional customer journey designs that prioritize speed over depth of understanding.

We also observed that including content in video format with a human messenger improves comprehension by an additional 15% when paired with other behavioral science techniques. Initial findings from using an AI-generated avatar in place of a human presenter suggest that it is too early to proceed in that direction. The AI messenger was seen as more unsettling and less credible than its human counterpart. However, it is possible that AI messengers could serve as a scalable alternative in customer journey design in the future as they are further improved.

These insights advocate for a shift in how insurers present information, suggesting that more engaged and informed customers can emerge from slowing down and strategically emphasizing essential content.

While these findings offer insurers paths to enhance customer comprehension, closing the gap in understanding will require additional and ongoing efforts.

Closing reflections and future pathways

While this research marks significant progress in our understanding of how employing behavioral science techniques can improve comprehension of life insurance, behavioral science’s full potential within the insurance industry remains untapped. Future researchers could delve deeper into optimizing digital and non-digital interactions and explore the expanding role of AI in providing scalable, engaging content. This research provides a useful blueprint to follow and a promising preview of all we have yet to discover.

Statements of fact and opinions expressed herein are those of the individual authors and are not necessarily those of the Society of Actuaries, the newsletter editors, or the respective authors’ employers.


More Like This...

Meet the Authors & Experts

ROSEMARY CRUZ
Author
Rosmery Cruz
Executive Director, Behavioral Data Science Risk and Behavioral Science, RGA

References

  1. LIMRA & Life Happens. (2024, April 24). 2024 Insurance Barometer Study. (2024, April 24).
  2. Wu, T., Dufford, A. J., Mackie, M. A., Egan, L. J., & & Fan, J. (2016). The Capacity of Cognitive Control Estimated from a Perceptual Decision Making Task. Scientific reports, 6.
  3. Kahneman, D. (2011). Thinking, fast and slow. New York: Farrar, Straus & Giroux.
  4. Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty. Science, 185(4157), 1124-1131.
  5. Cox, A. L., & Gould, S. J. (2016). Design Frictions for Mindful Interactions: The Case for Microboundaries. Extended Abstracts on Human Factors in Computing Systems - CHI EA ’16 , 1389-1397.
  6. Craik, F. I. (2002). Levels of processing: Past, present . . . and future? Memory, 10(5/6), 305-318.
  7. Iqbal, M. (2024, April 18). TikTok Revenue and Usage Statistics (2024) - Business of Apps. Business of Apps. Retrieved May 9, 2024, from https://www.businessofapps.com/data/tik-tok-statistics/.
  8. Woodward, M. (2024, March 7). TikTok user statistics 2024: Everything you need to know. SearchLogistics.
  9. How advisors are tapping into TikTok and Reddit. Putnam Investments. (2021, August).
  10. Cialdini, R. B. (2001). The science of persuasion. Scientific American, 284(2), 76-81.
  11. Marandola, G., Proestakis, A., Lourenço, J. S., & van Bavel, R. (2020). Applying behavioural insight to encourage consumer switching of financial products. Publications Office of the European Union.
  12. Marandola, G., Proestakis, A., Lourenço, J. S., & van Bavel, R. (2020). Applying behavioural insight to encourageconsumer switching of financial products. Publications Office of the European Union.
  13. Elshout, M., Elsen, M., Leenheer, J., Loos, M., & Luzak, J. (2016). Study on Consumers’ Attitudes Towards Terms Conditions (T&Cs) Final Report. Report for the European Commission, Consumers, Health, Agriculture and Food Executive Agency (Chafea) on behalf of Directorate-General for Justice and Consumers.
  14. The uncanny valley effect is a common unsettled feeling people experience when androids or humanoid robots and audio/visual simulations closely resemble humans in many respects but aren’t quite convincingly realistic.
  15. Miller, E. J., Foo, Y. Z., Mewton, P., & Dawel, A. (2023). How do people respond to computer-generated versus human faces? A systematic review and meta-analyses. Computers in Human Behavior Reports.
  16. Rubin, A., Livingston, N. A., Brady, J., Hocking, E., Bickmore, T., Sawdy, M., Simon, S. (2022). Computerized relational agent to deliver alcohol brief intervention and referral to treatment in primary care: A randomized clinical trial. Journal of General Internal Medicine, 30, 70-77.