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Article

The Design of Informational and Promotional Messages by Cooperative Banks and Their Perception Among Young Consumers—An Eye-Tracking Analysis Versus Conscious Identification Based on Empirical Research

by
Przemysław Pluskota
1,*,
Kamila Słupińska
2,
Agata Wawrzyniak
3 and
Barbara Wąsikowska
3
1
Institute of Spatial Management and Socio-Economic Geography, University of Szczecin, 71-101 Szczecin, Poland
2
Institute of Management, University of Szczecin, 71-004 Szczecin, Poland
3
Institute of Economics and Finance, University of Szczecin, 71-101 Szczecin, Poland
*
Author to whom correspondence should be addressed.
Appl. Sci. 2025, 15(17), 9635; https://doi.org/10.3390/app15179635
Submission received: 20 July 2025 / Revised: 22 August 2025 / Accepted: 26 August 2025 / Published: 1 September 2025
(This article belongs to the Special Issue Latest Research on Eye Tracking Applications)

Abstract

Featured Application

This research makes a significant contribution to understanding how young people perceive informational and promotional materials published on the websites of small financial institutions. This knowledge helps avoid mistakes in designing websites containing information and promotional content aimed at this group of respondents.

Abstract

The article explores how the design of informational and promotional messages from financial institutions influences their reception by young people. The study combined eye tracking, individual in-depth interviews (IDIs), and text mining analysis to examine both visual attention and participants’ conscious reactions. The aim was to identify young users’ preferences, determine factors influencing content perception, and assess the effectiveness of visual and audiovisual communication strategies. The main hypothesis proposed that minimalistic and visually attractive messages, enhanced with dynamic graphics, more effectively shape attitudes and elicit positive emotions. Specific aspects examined included the role of infographics, color schemes, message dynamics, and references to financial institutions in attracting attention and engagement. The results indicate that young people operate primarily in virtual space and express limited interest in traditional media such as television or print. They favor short, clear, and visually structured messages. Excessive textual content and lack of clarity provoked negative reactions and discouraged further engagement. Elements like infographics, colors, and logos were found to be strongly associated with brand recognition and memorability.

1. Introduction

Generational changes influence the banking services market, shaping its perception and usage. Membership in different age groups affects how banks communicate, what offerings they provide, and their inclination toward adopting new technological solutions [1]. One such modern development is the increasing use of eye tracking by researchers to study consumer behavior [2], including by banks. Initially used by psychologists to study basic mental functions, the technique has gained recognition in other fields. Eye tracking is a method of analyzing visual attention, particularly effective in capturing unconscious cognitive processes. It has gained popularity because of its ability to track cognitive actions in real time, without subjective judgments [3]. In consumer behavior research, eye tracking makes it possible to answer the question of how visual stimuli influence purchasing and transactional behavior. By recording participants’ eye movements, instead of asking direct questions, it is possible to stimulate actual purchasing scenarios, including financial services. This makes it possible to identify visual elements, such as color, texture, appearance, and the form of the message, which influence consumer decisions at the point of purchase [4]. Eye movements are now widely used to study cognitive processes during reading, scene perception, and visual searches [5].
One of the key factors significantly impacting individuals’ use of banking services is age, which is reflected in the diversified range of products offered by financial institutions. There are products available for school-aged children (up to 13 years), teenagers (aged 13–18), and young adults (18–26 years) [6]. This diversification arises from the differing financial needs and capabilities of consumers at various life stages. Age-specific services and products are widely applied in the financial sector, particularly in banking. Both age and other household characteristics determine financial needs and attitudes toward modern solutions, including those used in banking and strategies for reaching target groups.
The priority target groups of the National Financial Education Strategy for Poland, in relation to financial education programs, include
  • Low-income households;
  • Consumers at risk of over-indebtedness or already over-indebted;
  • Working individuals, especially those nearing retirement age;
  • Children, youth, parents, and teachers;
  • Migrants and refugees (particularly from Ukraine) [7] (p. 33).
This categorization relates both to financial situations and age. Age influences a group’s acceptance of technology [8], allowing us to distinguish several groups and sub-groups that vary in their acceptance of banking service methods [6].
  • Older generations:
  • Baby Boomers—primarily driven by financial considerations and service quality, generally less receptive to mobile technology, and less inclined to change existing habits;
  • Generation X—tends to find mobile banking complex, is cost-sensitive regarding mobile services, and prefers traditional payment methods such as cash;
2.
Younger generations:
  • Generation Y (Millennials)—favors quick payments and values a positive bank image, frequently uses online payment systems, and prioritizes convenience and transaction speed;
  • Generation Z—expects personalized services accessible through mobile apps, often uses phone transfers and POS payments with QR codes, and favors innovative, user-friendly technology.
These generations also differ in their behavior in the economy. Their characteristics generate different needs in today’s labor market, which is reflected in the way of communicating and creating information messages [9,10]. It is also said that Generation C has emerged—one that bridges the generational divide by being classified based on the digital environment they inhabit and use for communication [11,12]. They stand out with unique behaviors, values, attitudes, and a digital lifestyle. Members of this generation are constantly connected to the web, actively use technology, and navigate seamlessly within digital environments [13]. They are highly tech-savvy and active on social media, creating their own digital worlds through the content they post and view as attractive.
Research on the financial inclusion of Poles confirms that the percentage of people with bank accounts [14] is increasing year by year [15]. An age group analysis reveals the following account ownership rates:
  • 18–24 years—93.3%;
  • 25–39 years—98.6%;
  • 40–54 years—95.0%;
  • 55–64 years—91.0%;
  • 65 years and older—80.2% [16].
This shows the special role that the younger generation plays as potential bank customers. Consequently, financial institutions are shifting their communication towards more intuitive, image-based messages and mobile applications. These changes are driven by the preferences and characteristics of various age groups as well as the younger generation’s evolving view of reality. Different information and marketing messages are needed for each generation [8,17]. Generation Y, for instance, is more visually oriented than text-focused and is at or has already reached an age when major decisions—such as those related to careers or finances—must be made [18] (p. 44). Young people appreciate modern technological solutions, favoring mobile payments and apps. With easy access to the Internet and mobile devices, cashless payments are popular among this group because they are perceived as convenient and fast. Young users also value intuitive and user-friendly solutions and being aware of potential risks, place trust in modern technologies, including biometric security measures [19].
Modern technologies adopted by financial institutions, including banks—such as those based on digitization of activities, artificial intelligence—are shaping how banks operate, reach their target audiences, and sell their services.
Research indicates that for community banks, geography matters, as local conditions strongly influence the activities of small banks [20], and banks have a stronger impact on the development of their customers, becoming key players in existing SME financing mechanisms, important institutions in regional financial ecosystems [21]. Replacing bank branches with remote forms of access increases the bank’s competitiveness. To maintain customer confidence and provide effective service in an increasingly digitized environment, cooperative banks are being forced to use digital technology [22]. A study of German cooperative and savings banks diagnosed the barriers to the digitalization of their operations. These were mainly related to technological and regulatory complexity and a lack of employee involvement in the digitization process [23]. The development of remote distribution channels in exchange for the expansion of traditional branches has a positive impact on the bank’s operating costs, availability of products, including loans, positively influencing local economic development [24]. The implementation and development of e-banking by banks support their competitive advantage. A study of Spanish banks on customer adoption of e-banking indicates that positive customer attitudes, ease of use, and usability significantly influence customer attitudes [25]. Therefore, simplifying the message and the interfaces, supporting customers, pointing out the strengths of using this form of access, and encouraging customers to co-create services are tasks for banks, including cooperative banks, which, in order to compete with the larger, commercial ones, must constantly improve their services. To this end, a survey of the cooperative bank’s message was conducted among young customers who rarely visit bank branches, using mainly the bank via the Internet or an app.
Taking into account also the fact that personal finances play an important role in the economy, as well as their growing role in everyday life and the impact on financial decisions, J. K. Solarz notes the transformation of personal finances and the role of generations in shaping the financial needs of a generation, referring to this phenomenon as financial socialization [26]. This process begins in early childhood and continues into early old age, involving parents, grandparents, friends, teachers, and social media in shaping an individual’s financial identity.
Financial socialization involves not only acquiring theoretical knowledge but also developing attitudes that form habits and impulses toward certain behaviors. People who place excessive trust in their financial competence, despite a lack of knowledge, are vulnerable to the temptations of abuse and mis-selling [27]. According to J. K. Solarz, generational changes are shaping the modern banking system. For the younger generation, key factors in choosing a bank and using its services include the following:
  • Technology: Young people value modern technologies such as mobile applications and contactless payments, which make managing finances easier.
  • Convenience: They prefer fast, straightforward payment methods that enable instant transactions.
  • Security: They focus on the safety of their data and transactions, opting for proven and secure payment methods.
  • Financial education: Acquiring knowledge about financial management is essential for making informed decisions.
  • Self-control of expenses: They appreciate tools that help monitor and control spending, enabling them to manage their budgets more effectively.
Young consumers tend to favor cashless payment methods, avoid complex banking procedures, and seek simple, intuitive solutions. As a result of banking activity diversification, products aimed at younger customers should meet specific criteria. The most important of these is to offer personalization, i.e., creating solutions tailored to the unique needs and preferences of the young generation [6]. For younger consumers, advertising messages should be adapted using language and interactive communication channels that appeal to them, primarily through social media.
The characteristics of the young generation not only shape their shopping behaviors but also require financial institutions to adopt a more tailored approach. In their view, marketing messages should be specially prepared. Young people expect a personalized offer, aligned to their specific needs in terms of dynamism, language, communication channels, and the form of the presented content.
These factors should be incorporated into the marketing strategies of banks that aim to reach this group of specific, but also prospective, customers.

2. Literature Review

2.1. Perception of Informational and Promotional Content Among Young People (Young Adults)

Young adults from ages 18 to 26, belonging to the so-called Generation Z (and partially the youngest Millennials), have grown up in a highly digitalized environment. Their way of processing informational and promotional content differs significantly from that of previous generations, both in terms of preferred communication formats and cognitive mechanisms related to attention and memory.
Characteristic features of message reception among young adults:
  • Preference for visual content—young recipients respond more quickly to images, infographics, emojis, and short videos than to continuous text. Aesthetic quality and graphic consistency play a crucial role in capturing their attention.
  • Demand for short, concise messages (snackable content)—brief, clear messages that are easy to scan (headings, bullet points, highlights) are favored. Long, unstructured texts are often ignored.
  • Low tolerance for information overload—excessive data or unclear formatting leads to frustration and message rejection.
  • Expectation of immediate value—messages that do not immediately convey a benefit for the recipient are quickly dismissed.
  • Importance of authenticity and credibility—young people value transparency and quickly recognize artificial or manipulative tones. Brand consistency and values matter.
  • Digital and mobile-first communication—most content is consumed on smartphones, mainly through social media platforms. Therefore, messages must be responsive and optimized for mobile formats.
Characteristics of the 18–26 age group:
  • Digital natives—raised with the Internet and mobile technology, they are fluent in using digital tools.
  • Multitasking and selective attention—they process multiple stimuli simultaneously but have a short attention span.
  • High visual awareness—they are sensitive to visual quality and graphic details.
  • Experience-driven—they expect personalized, interactive, and enjoyable user experiences.
  • Social and emotional sensitivity—they respond positively to messages that appeal to emotions, values, and a sense of community.
Table 1 presents a summary of the literature concerning various aspects of Generation Z.

2.2. Application of Eye Tracking in Economic Studies

Eye-tracking technology is an affordable and relatively simple tool widely used in experimental research on information perception and processing. Numerous studies in experimental economics and finance confirm that the way information is presented, received, and processed significantly influences decision-making processes. Eye tracking allows researchers to collect data that complement traditional observations of choice variables and has gained considerable popularity among scholars in behavioral economics and finance.
The use of eye-tracking technology in experimental economics and finance research is a relatively recent development, although similar topics have previously been addressed in literature related to marketing, organizational studies, and accounting. Table 2 presents examples of eye-tracking applications in the broadly understood field of economics.
Making individual financial decisions—such as those related to spending, saving, mortgages, retirement planning, asset distribution, or insurance—typically requires choosing between alternatives under constraints like limited time, information, or cognitive capacity. Eye-tracking studies in this area have examined a range of economic theories and have been applied across fields including behavioral economics, finance, accounting, and organizational economics. The power of eye-tracking technology lies in the possibility of capturing the visual attention of individuals for different types of economic behavior.

3. Materials and Methods

Eye-tracking surveys are used to analyze the advertising messages of consumer goods manufacturers, advertising messages [92], and, less frequently, to study the transparency of messages and transaction services by financial institutions, particularly cooperative banks. It can therefore be concluded that this study, although a pilot study, is pioneering in this group of financial institutions.
Combining the eye-tracking method with in-depth face-to-face interviews (IDIs) adds value to the results, as it allows for the additional analysis of the conscious and unconscious aspects of the participants. In-depth interviews are often used alongside methods such as eye tracking to provide contextual understanding and deeper insights into the cognitive and emotional processes underlying the observed behavior [93].
Combining eye tracking with qualitative techniques, like in-depth interviews, allows researchers to move beyond ‘where people look’ to explore ‘why they look,’ thereby enriching interpretation and generating more holistic insights. Therefore, the authors conducted their research using a mixed method [94].
The research involved a group of 48 young people (volunteers), aged from 18 to 26. Among the 48 participants, 23 were high school students from two regional secondary schools, and the remaining 25 were university students from the largest university in the region. In total, the study included 27 men and 21 women. The study received approval from the appropriate bioethics committee. It was carried out in two stages. Initially, an eye-tracking session was conducted (with the usage of a Tobii Pro Fusion 60 Hz eye tracker to capture eye movements), followed by direct interviews with the participants.
The aim of the study was to identify the cognitive, behavioral, and emotional reactions of young users when exposed to the promotional and informational content of a financial institution represented by a cooperative bank. For this purpose, a mixed approach was used. Quantitative data from eye-tracker measurements (identification of gaze focus points, fixation time, visual regression) and qualitative data obtained in in-depth face-to-face interviews were used.
The emotional reception of the content was analyzed using text data mining, including frequency analysis, i.e., which words and phrases most often describe the analyzed messages and keywords indicating attitudes towards the messages. Special attention was paid to the comparison of emotional reactions in the context of audiovisual messages (commercials) and static content (information texts, advertising leaflets).
Analysis of the emotions that arose when viewing the promotional materials and reading the content was carried out in two ways:
  • Visual data analysis (eye tracking)—this allowed for precise tracking of the visual engagement of young audiences and also made it possible to identify moments when participants focused their attention on the most salient elements of the advertising materials. This made it possible to identify which parts of the ad triggered stronger emotional responses (e.g., curiosity, surprise, or joy).
  • Emotion analysis in texts (text mining) during IDIs—by using sentiment analysis and word frequency analysis, it was possible to identify positive and negative emotions associated with different elements of the communications. Young people reacted emotionally to different aspects of communication—infographics, colors, or images of famous people.

4. Results of Eye-Tracking Study and In-Depth Interviews (IDIs)

In the first part of the eye-tracking study, the participants’ task was to watch a promotional spot for cooperative banks and answer the question “Is this advertisement for you?” When analyzing the recordings in Tobii Pro Lab, we examined whether the participants focused their attention on the logo shown in the spot and on other information about the cooperative banks—such as the website address or the company’s mission (i.e., a declaration that clearly specifies which customer needs the banks intend to satisfy and which values they represent) (see Figure 1).
The metrics calculated in the Tobii Pro Lab software (Full edition 25.7.1400 (x64)) are presented in Appendix A, with examples provided in Table A1. The four most relevant ones in this study are listed below:
  • The time to the first fixation inside an AOI during an interval (TTFF): This metric measures how long it takes for a participant’s gaze to land on a specific area of interest (AOI) for the first time. A shorter TTFF indicates that the visual features of the element are more successful in drawing immediate attention. It is especially useful for determining which items attract the gaze most quickly.
  • The total duration of the fixation inside an AOI during an interval: This indicator reflects the total time and the mean position of a sequence of fixations within a defined AOI. It may consist of several fixations and short saccades between them. The sequence is considered finished once the gaze shifts outside the AOI.
  • The number of fixations occurring in an AOI during an interval: This measure shows how often an AOI is fixated upon. A higher number of fixations suggests that the element is perceived as more important or relevant. Closely related to fixation duration, it helps evaluate the overall level of attention devoted to different stimuli across tasks of varying length.
  • The last AOI fixated during an interval: This identifies the final area of interest (AOI) where the participant’s gaze remained within a defined time window of the study.
As part of statements during IDIs, in the context of audiovisual messages, dynamism appeared to be a key factor that attracted the attention of young audiences. Although some respondents indicated that the ad was intended for a younger age group, it was noted that the dynamism of the message—involving rapid visual changes, intense colors, and movement—had a strong impact on their perception. Young people reacted positively to the commercial and enjoyed watching it (Figure 2).
Interview participants were asked what aspects could increase their involvement, and the participants indicated that the scenes presented should be more focused on situations relevant to their generation. This may mean that active emotional and visual involvement during the viewing of such material is an important factor for them in determining the attractiveness of the message, with increased involvement being additionally achieved by making the message more personalized to their age group.
In interpreting the keywords of the reception of what they saw, it can be pointed out that young people prefer messages that offer dynamic visual scenarios. The slogan dynamism and dynamic were the main summaries of what they saw while expressing a positive reaction to it. Although the advertising message itself may have been dedicated to a younger age group, participants perceived the positive aspects of this dynamism, which promoted a better assimilation of the content, even if the advertising itself was not directly aimed at them.
The analysis of eye-tracking data related to the presented commercial spot, together with the responses provided by the participants during interviews (IDIs), made it possible to develop guidelines and recommendations for the cooperative bank. These could significantly improve the informational message so that it appeals to both groups of young people, namely, high school students and university students.
In the second part of the study, traditional advertising materials in the form of leaflets were presented. For the purposes of the eye-tracking experiment, they were converted into electronic form, and some of them were additionally discussed during the IDI. The participants’ task was to review selected bank leaflets. The aim of this part of the study was to examine whether the information contained in the leaflet, as well as the way it was arranged, was understandable and clear to young people.

4.1. Importance of Readability in Written Messages

When analyzing and interpreting written messages (e.g., information materials and leaflets of the cooperative bank), the readability of the content played a key role in the reception. The study revealed that excessive text (see Figure 3) and a lack of clear structure generated negative emotions in the form of discouragement, which was noticeable in participants’ textual responses and sentiment analysis. They often emphasized the need for the information presented to be straightforward, avoiding overburdening content that did not capture their attention. The colored dots in Figure 3 represent fixation points and scan paths, illustrating how individual high school students processed the information presented in the leaflet. A higher density of fixation points observed at the beginning of the leaflet suggests a more detailed and attentive reading of the initial sections. In contrast, the decreasing number of fixations in later parts implies that cognitive fatigue and information overload may have diminished participants’ engagement with the subsequent content.
Interview participants emphasized the need for the information presented to be straightforward, avoiding overburdening content that did not capture their attention. In terms of emotion, the readability of the content was considered an important factor influencing the level of satisfaction with communication. During individual in-depth interviews (IDIs), respondents indicated that too much text or complicated messages, full of industry jargon, made the message unattractive. Simplicity and clarity of information appeared to be an important factor in the ease of reception of the material. Young people preferred short, concise messages that were easy for them to understand and remember. From the analysis of the results, it appears that an excess of information resulted in a decrease in engagement and, therefore, a decreased effectiveness of communication. Participants expected information to be presented in a minimalist way, without unnecessary detail, and to be clearly organized in the form of headlines, lists, or infographics.

4.2. Importance of Visual Elements—Infographics, Logos, Colors

Very important elements that young people identify with financial institution brands are infographics, colors, and logos. The IDIs showed that they regard these elements as key brand identifiers that enable them to quickly recognize the institution. In this context, participants paid particular attention to the visual consistency of the materials, as well as the aesthetic appeal. Infographics were seen as a particularly useful tool that allowed for quick understanding of complex content, which is important in the case of offers regarding banking services.
The sample bank information leaflet presented in Figure 4 contains very short and easy-to-remember information for young people regarding payment card security, its expiration date, card number, PIN, and CVV code. Accompanied by an illustration of the card, it uses arrows to indicate the location of each element.
Additionally, with the use of text highlighted in green font, guidelines were provided to help young people understand how to protect their payment card information, for example:
  • Card number—“Do not let anyone see it”;
  • Card PIN—“Keep it secret”;
  • CVV code—“No one but you can see it”;
  • Card expiry date—“No one but you should know it”.

4.3. Role of Celebrity Image

Another important element that significantly influenced young people’s perception was the images of celebrities in the advertising material (see Figure 5).
Figure 5 presents an example of an advertisement placed on the homepage of a cooperative bank, featuring images of athletes well-known to the local community. The caption indicated by the athletes encourages potential customers of the bank to build local relationships together.
It was observed that participants reacted positively to the use of celebrity images, but their perception depended on the degree of familiarity with this person and the link to their personal context. As their statements during interviews indicated, if the celebrity was close to them, e.g., came from their region or was related to their interests, the effect of positive perception was clearly stronger. In contrast, in the case of less familiar characters, the effectiveness of advertising featuring them declined, indicating the importance of recognizability and emotional connection with the depicted character.

4.4. Interaction with Online Advertising

The results of the study indicated that young people are mainly involved in the virtual world, where they encounter a variety of advertising and information messages on a daily basis. They occasionally associate forms outside of it. They openly declare a lack of interest in traditional media such as television or the press. Nonetheless, as the study participants declared during the IDI, young people’s attention is selective, and they treat most advertisements and messages as background or ignore them, especially when these are received on social media platforms. Young people rarely pay particular attention to adverts unless they are specifically tailored to their interests or offer content that they find interesting and engaging.
In conclusion, it should be stated that the key element is the simplicity of the message and the use of graphic forms that support the cognitive process based on identifying keywords. The study revealed that the way young people and students browse pages resembles social media habits—rapid, fragmented reading, even in contexts requiring concentration. This indicates the necessity of designing content with consideration for new models of perception, based on minimalism and visual clarity.

5. Discussion and Future Work

In the context of the study, an important element that emerged among young participants was the need for personalization of the offer. Young people indicated that advertising and informational messages must be tailored to their individual needs and preferences, as well as to their associations with the financial institution, in order to be more attractive and effective. In particular, it was noted that messages corresponding to their interests or needs were better received and evoked positive emotions, such as interest in the mentioned material.
A positive reception among the younger generation was observed in the case of leaflets with colorful characters, even though the association with the financial institution was weaker. These leaflets were more willingly picked up. The way in which the informational content was positioned was also important; when it required more analysis or effort, participants reacted with irritation. This was the case with a leaflet presenting a colorful circle with descriptions of the functionalities offered by the cooperative bank (see Figure 6). During interviews, participants emphasized that it should not be necessary to turn one’s head in order to read the information.
Students also responded positively to colorful materials but paid more attention to the alignment of the leaflet with its content. Both groups were more likely to choose materials that clearly identified with the bank, which makes this form more preferable for them. The balance between graphic design and content must therefore be adjusted in favor of less text and more slogans or highlights.
Students were interested in accounts offering added value; therefore, one option worth considering is the introduction of deposit offers on favorable terms, which could persuade them to consider the bank. Moreover, since they tend to monitor their expenses more closely, the possibility of analyzing them through a transparent graphical cost planner would meet their stated need.
High school students, on the other hand, are much less inclined to change their current accounts but remain open to exploring new opportunities offered by the bank. Therefore, to build their openness to the brand and encourage them to consider it in the future, it would be worthwhile to introduce workshops or classes where they could simultaneously learn something new while engaging with the brand. This could also reshape their perception of the bank, which they often associate with people outside their age group.
The emotional reception of the content was analyzed using text data mining, including frequency analysis, i.e., which words and phrases most often describe the analyzed messages and keywords indicating attitudes towards the messages. Special attention was paid to the comparison of emotional reactions in the context of audiovisual messages (commercials) and static content (information texts, advertising leaflets).
The combination of the results of visual analysis (eye tracking) and interviews with text mining analysis shows that young people’s emotions were strongly dependent on the dynamism of the visual message and the simplicity of the content. Infographics, colors and logos were perceived as positive elements that built an emotional bond with the brand, while an excess of text or complexity of the message resulted in negative emotional reactions, such as fatigue.
The study thus made it possible to accurately measure the emotional reactions of young people in the context of different forms of promotional materials, as well as to identify factors that determine the positive or negative reception of communication. The results point to the need to proactively tailor content to the emotional preferences of young consumers in order to increase their engagement and the effectiveness of communications.
The authenticity of the communication was also an important element. Young people preferred adverts that have a more “human touch”, rather than just to general marketing standards. They associated advertisements in the form of storytelling in a positive way and were much more likely to indicate that they associated such advertisements that they had watched and enjoyed.
Future research (concerning the same set of audiovisual advertisement materials from cooperative banks) will involve a larger cohort of participants, focusing on young adults aged between 18 and 26 years. This will allow for the identification of potential differences in the behavior of young people representing high school students and college students. The study will incorporate a deeper eye-tracking analysis of fixation and saccade patterns.
Additionally, different approaches to designing informational and promotional messages across various banks will be compared by creating a controlled set of stimuli, which will enable drawing clear conclusions based on predefined hypotheses.

6. Limitations

The above section presents the results of a study aimed at analyzing the behavior of young customers seeking information in a regional bank. The study was of a pilot nature, and the sample size (N = 48) limits the possibility of generalizing the findings to the entire population. The participants were students and young adults from a single region of one country. The analysis focused mainly on the indicators available in the Tobii Pro Lab software (e.g., number and duration of fixations), while other indicators that could potentially deepen the interpretation of the results (such as regressions, etc.) will be the subject of future analyses planned by the authors as part of subsequent in-depth studies.
Despite these limitations, the research and conclusions presented in the article offer valuable insights for practitioners, particularly in the design of advertising leaflets tailored to young customers. These findings can be valuable for a wide range of businesses, including banks and cooperative banks, as well as companies that target young consumers.

Author Contributions

Conceptualization, P.P., K.S., A.W. and B.W.; methodology, P.P., K.S., A.W. and B.W.; software, A.W. and B.W.; formal analysis, P.P., K.S., A.W. and B.W.; investigation, P.P., K.S., A.W. and B.W.; resources, P.P., K.S., A.W. and B.W.; data curation, A.W. and B.W.; writing—original draft preparation, P.P., K.S., A.W. and B.W.; writing—review and editing, P.P., K.S., A.W. and B.W.; funding acquisition, P.P. and K.S. All authors have read and agreed to the published version of the manuscript.

Funding

This publication is co-financed by the Minister of Science under the “Regional Excellence Initiative”.

Institutional Review Board Statement

Approval of the Bioethics Committee at the Regional Medical Chamber (OIL) in Szczecin for a period of 5 years—Resolution No. 14/2022 of 8 December 2022.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Appendix A

Data analysis in Tobii Pro Lab enabled the identification of the following eye-tracking indicators (see Table A1):
  • Interval metrics:
  • The duration of an interval.
  • The start time of an interval.
2.
Area of Interest (AOI) fixation metrics:
  • The total duration of the fixation inside an AOI during an interval.
  • The average duration of the fixation inside an AOI during an interval.
  • The duration of the shortest fixation inside an AOI during an interval.
  • The duration of the longest fixation inside an AOI during an interval.
  • The number of fixations occurring in an AOI during an interval.
  • The time to the first fixation inside an AOI during an interval.
  • The duration of the first fixation inside an AOI during an interval.
  • The last AOI fixated during an interval.
  • The AOI fixated at the end of an interval.
  • The average pupil diameter of all fixation samples in an AOI in an interval. Calculated using the resulting pupil diameter after applying a pupil diameter filter.
3.
AOI glance metrics:
  • The total duration of the glances inside an AOI during an interval.
  • The average duration of the glances inside an AOI during an interval.
  • The duration of the shortest glances inside an AOI during an interval.
  • The duration of the longest glances inside an AOI during an interval.
  • The number of glances occurring in an AOI during an interval.
  • The time to the first glance inside an AOI during an interval.
  • The duration of the first glances inside an AOI during an interval.
4.
AOI saccade metrics:
  • The number of saccades occurring in an AOI during an interval.
  • The duration until the start of the first saccade that ends in an AOI during an interval.
  • The duration until the start of the first saccade that exists in an AOI during an interval.
  • The peak velocity of the first saccade that ends in an AOI during an interval.
  • The peak velocity of the first saccade that exists in an AOI during an interval.
5.
Event properties:
  • The type of event of the current row (fixation, saccade, blink).
  • The validity of the event of the row, either whole or partial.
  • Represents the order of the events in the current TOI interval.
  • The start time, counted from the current TOI interval start.
  • The start time, counted from the current TOI interval stop.
  • The duration of the event.
6.
Fixation properties:
  • The name of the AOI that the current fixation hits.
  • The proportion of the fixation that occurs within the AOI.
  • The normalized horizontal coordinate of the fixation point.
  • The normalized vertical coordinate of the fixation point.
7.
Saccade properties:
  • The angle of the straight line between the preceding fixation and succeeding fixation. This can only be applied to whole saccades.
  • The average velocity across all samples belonging to the saccade, even outside the interval.
  • The maximum velocity across all samples belonging to the saccade, even outside the interval.
  • The amplitude for whole saccades.
  • The name of the AOI, in which the current saccades started, if any, as determined by the preceding fixation position.
  • The name of the AOI, in which the current saccades landed, if any, as determined by the succeeding fixation position.
  • The normalized horizontal coordinate of the current saccade’s start position, as determined by the preceding fixation.
  • The normalized vertical coordinate of the current saccade’s start position, as determined by the preceding fixation.
  • The normalized horizontal coordinate of the current saccade’s landing position, as determined by the succeeding fixation.
  • The normalized vertical coordinate of the current saccade’s landing position, as determined by the succeeding fixation.
Table A1. Part of the table with metrics for selected participants.
Table A1. Part of the table with metrics for selected participants.
ParticipantThe Start Time of an IntervalThe Average Duration of the Fixation Inside an AOI During an Interval The Number of Fixations Occurring in an AOI During an Interval The Time to the First Fixation Inside an AOI During an Interval The Average Duration of the Fixations Inside an AOI During an IntervalThe Number of Fixations Occurring in an AOI During an Interval The Average Duration of the Visits Inside an AOI During an Interval The Number of Visits Occurring in an AOI During an Interval Time to First Visit Inside an AOI During an Interval The Average Duration of the Glances Inside an AOI During an Interval The Duration of the First Glances Inside an AOI During an Interval The Number of Saccades Occurring in an AOI During an Interval The Duration Until the Start of the First Saccade that Ends in an AOI During an Interval
k016046991832290371832383129037417417129004
k01604699119385781582425185784254252
k0160469919051993620041151119936115111513
k016046991332278871332300127887350350127837
k016046992036370203631743703752832320
k016046991124295041283630129504713713129421
k01604699158242861582350142863673671
k0160469973312827173317331282717507500
k016046993405215374084179812153718651865421470
k03598355124385501501440185504404402
k035983553193199242752102211992410561056219890
k035983551331279071331133127907150150027891
k035983552613291412613867129141900900229107
k035983552542409033315421409057557514056
k035983552503281072503783128107850850228041
k035983552884217242884600221724675350222290
k045946121063856114224341856145145128544
k04594612522219916 01094119916109410941
k04594612120012811112001120012811112331233028078
k045946125171461151715171461156756704561
k04594612192239441922433139445005001
k04594612739129378 0739129378806806029312
k04594612820122497 08201224978208200
k0562018620228544 0438185444384381
k0562018621151990927835612199095771049321324
k05620186197527953242453422795355917327991
k056201861563790156324227902923831723
k056201861983291242172305229124355183129091
k056201865114590 0511459068680
k056201861831293411831183129341250250029274
k056201863094219742563133812197414381438221874
Source: own research.

References

  1. Król, P. Dopasowanie ofert kont instytucji finansowych do zmieniających się trendów w zachowaniu pokolenia Z. Przedsiębiorczość Eduk. 2024, 20, 31–44. [Google Scholar] [CrossRef]
  2. Andreou, G.; Gkantaki, M. An Eye-Tracking Study on Text Comprehension While Listening to Music: Preliminary Results. Appl. Sci. 2025, 15, 3939. [Google Scholar] [CrossRef]
  3. Malheiros, B.A.; Spers, E.E.; Contreras Castillo, C.J.; Aroeira, C.N.; de Lima, L.M. The Role of Visual Attention and Quality Cues in Consumer Purchase Decisions for Fresh and Cooked Beef: An Eye-Tracking Study. Appl. Sci. 2025, 15, 7360. [Google Scholar] [CrossRef]
  4. Chae, H.; Lee, Y.; Kim, S. The influence of visual attention on consumer choice in online grocery shopping: An eye-tracking study. Sustainability 2019, 11, 6347. [Google Scholar]
  5. Rayner, K. Eye movements and attention in reading, scene perception, and visual search. Q. J. Exp. Psychol. 2009, 62, 1457–1506. [Google Scholar] [CrossRef]
  6. Kaczmarek, M. Przynależność Do Kohorty Pokoleniowej Jako Determinanta Korzystania z BLIK-a. Bank I Kredyt 2023, 54, 221–238. [Google Scholar]
  7. Krajowa Strategia Edukacji Finansowej Polityka Na Rzecz Rozwijania Kompetencji Finansowych, Przyjęto uchwałą Rady Ministrów nr 71 z dnia 25 czerwca 2024 r. w sprawie przyjęcia polityki publicznej „Krajowa Strategia Edukacji Finansowej. Polityka na rzecz rozwijania kompetencji finansowych”. 2024. Available online: https://www.gov.pl/web/finanse/krajowa-strategia-edukacji-finansowej (accessed on 15 July 2025).
  8. Camilleri, M.A. Higher Education Marketing: Opportunities and Challenges in the Digital Era. In SSRN Scholarly Paper; Social Science Research Network: Rochester, NY, USA, 2019; Available online: https://papers.ssrn.com/abstract=3484035 (accessed on 15 June 2025).
  9. Bielińska-Dusza, E. The Motivation of Generations: What Drives Generation X, Y, Z? J. Hum. Resour. Manag. Res. 2022, 2022, 637177. [Google Scholar] [CrossRef]
  10. Urbanovičová, P.; Mikulàškovà, J.; Čambàl, M.; Edl, M. How Millennials Affect Corporate Culture. Res. Pap. Fac. Mater. Sci. Technol. Slovak Univ. Technol. 2019, 27, 76–83. [Google Scholar] [CrossRef]
  11. Hardey, M. Generation C: Content, Creation, Connections and Choice. Marketing Communications. Available online: https://www.academia.edu/8472490/Generation_C_content_creation_connections_and_choice_MARKETING_COMMUNICATIONS (accessed on 29 April 2025).
  12. Reports Insights State of the Media:, U.S. Digital Consumer Report, Nielsen. Available online: https://www.nielsen.com/insights/2012/us-digital-consumer-report/ (accessed on 29 April 2025).
  13. Capitals Coalition. The Rise of Generation C & Implications for the World of 2020. 9 February 2011. Available online: https://capitalscoalition.org/the-rise-of-generation-c-implications-for-the-world-of-2020/ (accessed on 15 June 2025).
  14. Stola, E. Ubankowienie społeczeństwa a rozwój sektora bankowego w Polsce. J. Insur. Financ. Mark. Consum. Prot. 2018, 4, 81–95. [Google Scholar]
  15. Maison, D. Postawy Polaków Wobec Obrotu Bezgotówkowego–Raport z Badania 2021 i Analiza Porównawcza z Danymi z 2009, 2013 i 2016 Roku, NBP. 2021. Available online: https://nbp.pl/system-platniczy/dane-i-analizy/analizy-i-opracowania/zwyczaje-platniczepolakow (accessed on 1 June 2025).
  16. Zwyczaje Płatnicze w Polsce w 2023 r., NBP. 2024. Available online: https://static.nbp.pl/systemy/platniczy/Zwyczaje-platnicze-w-Polsce-2023.pdf (accessed on 1 June 2025).
  17. Valtere, L. Perspective on Generations: Their Impact on Higher Education Marketing. Changes Soc. Bus. Environ. 2013, 213–219. Available online: https://www.ceeol.com/search/article-detail?id=531507 (accessed on 1 June 2025).
  18. Pluskota, P.; Rzempała, J.; Skweres-Kuchta, M. Lifelong Learning—A Short Version. Children’s University–Regional View of Competence Development of Young People; Wydawnictwo Naukowe Uniwersytetu Szczecińskiego: Szczecin, Poland, 2024. [Google Scholar] [CrossRef]
  19. Banaszewska, M.; Iwańczuk-Kaliska, A.; Marchewka-Bartkowiak, K.; Warchlewska, A. Zachowania Płatnicze Młodzieży W Polsce W Warunkach Izolacji Pandemicznej Raport z Projektu; Uniwersytet Ekonomiczny w Poznaniu, Instytut Finansów: Poznań, Poland, 2022. [Google Scholar]
  20. Aiello, F.; Bonanno, G. Multilevel empirics for small banks in local markets. Pap. Reg. Sci. 2018, 97, 1017–1038. [Google Scholar] [CrossRef]
  21. Bezzon, B.; Labrouche, G.; Levy, R. Regional cooperative banks, ecosystems and small and medium-sized enterprise financing: The importance of cognitive, social and geographic proximities. J. Small Bus. Enterp. Dev. 2024, 31, 810–828. [Google Scholar] [CrossRef]
  22. Colamartino, C.; Barone, M. Can cooperative banks maintain local engagement amidst digital transformation? Evidence from Italy. In Digit Finance; Springer: Berlin/Heidelberg, Germany, 2025. [Google Scholar] [CrossRef]
  23. Ulrich-Diener, F.; Dvouletý, O.; Špaček, M. The future of banking: What are the actual barriers to bank digitalization? Bus. Res. Q. 2025, 28, 491–513. [Google Scholar] [CrossRef]
  24. Bernini, C.; Brighi, P. Bank branches expansion, efficiency and local economic growth. Reg. Stud. 2017, 52, 1332–1345. [Google Scholar] [CrossRef]
  25. Carranza, R.; Díaz, E.; Sánchez-Camacho, C.; Martín-Consuegra, D. e-Banking Adoption: An Opportunity for Customer Value Co-creation. Front. Psychol. 2021, 11, 621248. [Google Scholar] [CrossRef] [PubMed]
  26. Solarz, J.K. Metapersonalizacja finansów osobistych w Polsce. In Finanse Wobec Wyzwań Nowej Gospodarki, 1st ed.; Marchewka-Bartkowiak, K., Waliszewski, K., Eds.; Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu: Poznań, Poland, 2024; pp. 115–125. [Google Scholar] [CrossRef]
  27. Ameer, R.; Khan, R. Financial Socialization, Financial Literacy, and Financial Behavior of Adults in New Zealand. J. Financ. Couns. Plan. 2020, 31, 313–329. [Google Scholar] [CrossRef]
  28. Definition of Generation, Z. Merriam-Webster. Available online: https://www.merriam-webster.com/dictionary/Generation%20Z (accessed on 17 July 2025).
  29. Definition of Generation Z noun from the Oxford Advanced Learner’s Dictionary. Oxford Learner’s Dictionaries. Available online: https://www.oxfordlearnersdictionaries.com/us/definition/english/generation-z?q=generation+z (accessed on 17 July 2025).
  30. Gen Z–Years, Age Range, Meaning, & Characteristics–Britannica. Available online: https://www.britannica.com/topic/Generation-Z (accessed on 17 July 2025).
  31. Twenge, J.M. Have Smartphones Destroyed a Generation? Atlantic Monthly, September 2017. Available online: https://bob.cs.ucdavis.edu/assets/ecs188/smartphone.pdf (accessed on 25 August 2025).
  32. Dimock, M. Defining generations: Where Millennials end and Generation Z begins. Pew Res. Cent. 2019, 17, 1–7. [Google Scholar]
  33. Shapiro, J. The New Childhood: Raising Kids to Thrive in a Connected World; Little, Brown Spark: New York, NY, USA, 2018. [Google Scholar]
  34. Lexico. Generation Z; Oxford University Press: Oxford, UK, 2017; Available online: https://web.archive.org/web/20190817140603/https://www.lexico.com/en/definition/generation_z (accessed on 17 July 2025).
  35. Generation Z Is Stressed, Depressed and Exam-Obsessed. The Economist. 27 February 2019. Available online: https://www.economist.com/graphic-detail/2019/02/27/generation-z-is-stressed-depressed-and-exam-obsessed (accessed on 17 July 2025).
  36. Grigoreva, E.A.; Garifova, L.F.; Polovkina, E.A. Consumer behavior in the information economy: Generation Z. Int. J. Financ. Res. 2021, 12, 164–171. [Google Scholar] [CrossRef]
  37. Djafarova, E.; Foots, S. Exploring ethical consumption of generation Z: Theory of planned behaviour. Young Consum. 2022, 23, 413–431. [Google Scholar] [CrossRef]
  38. Ribeiro, M.A.; Seyfi, S.; Elhoushy, S.; Woosnam, K.M.; Patwardhan, V. Determinants of generation Z pro-environmental travel behaviour: The moderating role of green consumption values. J. Sustain. Tour. 2025, 33, 1079–1099. [Google Scholar] [CrossRef]
  39. Sun, Y.; Wang, R.; Cao, D.; Lee, R. Who are social media influencers for luxury fashion consumption of the Chinese Gen Z? Categorisation and empirical examination. J. Fash. Mark. Manag. Int. J. 2022, 26, 603–621. [Google Scholar] [CrossRef]
  40. How to Sell to the Young. The Economist. 19 January 2023. Available online: https://archive.ph/20230122104027/https://www.economist.com/leaders/2023/01/19/how-to-sell-to-the-young (accessed on 18 July 2025).
  41. How the Young Spend Their Money. The Economist. 16 January 2023. Available online: https://archive.ph/20230128084943/https://www.economist.com/business/2023/01/16/how-the-young-spend-their-money (accessed on 18 July 2025).
  42. Kale, S. Out of Style: Will Gen Z Ever Give Up Its Dangerous Love of Fast Fashion? The Guardian. 6 October 2021. Available online: https://www.theguardian.com/fashion/2021/oct/06/out-of-style-will-gen-z-ever-give-up-its-dangerous-love-of-fast-fashion (accessed on 18 July 2025).
  43. Roman, E. Gen Z Is Projected to Become the Largest, Wealthiest Generation, According to Report. Yahoo Finance. 15 July 2024. Available online: https://finance.yahoo.com/news/gen-z-is-projected-to-become-the-largest-wealthiest-generation-according-to-report-185059231.html?guccounter=1&guce_referrer=aHR0cHM6Ly9lbi53aWtpcGVkaWEub3JnLw&guce_referrer_sig=AQAAABddqOX_sE0_dvQSaZsFEJBILkcyFd4SsUOj3v8LX01RL0JrSiQY2Y6IM2DiudpmaxF5dXepEld5p7LmVdO5-2RmiPxaIRDFF0k2Xsbg4S29k2d25vuuME546XEb595npriwHSF0KBNazXIG0w0Uqc0m5nZkJBChfa3tfAls3cR0 (accessed on 16 July 2025).
  44. Dragolea, L.L.; Butnaru, G.I.; Kot, S.; Zamfir, C.G.; Nuţă, A.C.; Nuţă, F.M.; Ştefănică, M. Determining factors in shaping the sustainable behavior of the generation Z consumer. Front. Environ. Sci. 2023, 11, 1096183. [Google Scholar] [CrossRef]
  45. Turner, A. Generation Z: Technology And Social Interest. J. Individ. Psychol. 2015, 71, 103–113. [Google Scholar] [CrossRef]
  46. Bourke, B. Connecting with Generation Z through social media. In Preparing the Higher Education Space for Gen Z; IGI Global: Hershey, PA, USA, 2019; pp. 124–147. [Google Scholar]
  47. Elkatmış, M. Examination of social media usage habits of generation Z. Front. Psychol. 2024, 15, 1370823. [Google Scholar] [CrossRef]
  48. Shetu, S.N. Do user-generated content and micro-celebrity posts encourage generation Z users to search online shopping behavior on social networking sites—The moderating role of sponsored ads. Future Bus. J. 2023, 9, 100. [Google Scholar] [CrossRef]
  49. Insights Consumers. Attention Spans; Microsoft Canada, Spring: Toronto, ON, Canada, 2015. [Google Scholar]
  50. Diz, M.R. Gen Z and Millennials in the Workplace: How Are Leaders Adapting to Their Short Attention Span and How Will They Keep Them from Leaving a Qualitative Study. 2021. Available online: https://www.ucas.com/connect/blogs/how-to-capture-the-eight-second-attention-span-of-gen-z (accessed on 18 July 2025).
  51. Raghavan, R. Web Design for Generation Z: Understanding and Capturing The Digital Natives. acodez.in. 2024. Available online: https://acodez.in/web-design-for-generation-z/ (accessed on 18 July 2025).
  52. Volfova, H.; Janků, A.; Landa, M.; Rausova, N. The Website through Gen Z’s Eyes: Key Insights and Important Elements for Effective Online Pr Promotion of Universities. Mark. Sci. Inspir. 2024, 19, 14–23. [Google Scholar] [CrossRef]
  53. Banu, A.R.; Tresha, T.K.; Chowdhury, S.S.; Srabonty, S.N. Online Library Interfaces: A User-Centered Study on Design and Functionality Preferences of Gen-Z Users. J. Creat. Writ. 2024, 8, 40–57. [Google Scholar] [CrossRef]
  54. Arizal, N.; Nofrizal; Listihana, W.D.; Hadiyati. Gen Z Customer Loyalty in Online Shopping: An integrated model of trust, website design, and security. J. Internet Commer. 2024, 23, 121–143. [Google Scholar] [CrossRef]
  55. Manca, M.; Palumbo, V.; Paternò, F.; Santoro, C. The transparency of automatic web accessibility evaluation tools: Design criteria, state of the art, and user perception. ACM Trans. Access. Comput. 2023, 16, 3. [Google Scholar] [CrossRef]
  56. Balcombe, K.; Fraser, I.; Williams, L.; McSorley, E. Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking. J. Econ. Behav. Organ. 2017, 144, 238–257. [Google Scholar] [CrossRef]
  57. Ballco, P.; De-Magistris, T.; Caputo, V. Consumer preferences for nutritional claims: An exploration of attention and choice based on an eye-tracking choice experiment. Food Res. Int. 2019, 116, 37–48. [Google Scholar] [CrossRef]
  58. Bansal, P.; Kim, E.J.; Ozdemir, S. Discrete choice experiments with eye-tracking: How far we have come and ways forward. J. Choice Model. 2024, 51, 100478. [Google Scholar] [CrossRef]
  59. Bartels, M.; Tillack, K.; Jordan Lin, C.T. Communicating nutrition information at the point of purchase: An eye--tracking study of shoppers at two grocery stores in the United States. Int. J. Consum. Stud. 2018, 42, 557–565. [Google Scholar] [CrossRef]
  60. Bault, N.; Wydoodt, P.; Coricelli, G. Different attentional patterns for regret and disappointment: An eye-tracking study. J. Behav. Decis. Mak. 2016, 29, 194–205. [Google Scholar] [CrossRef] [PubMed]
  61. Ceravolo, M.G.; Farina, V.; Fattobene, L.; Leonelli, L.; Raggetti, G. Presentational format and financial consumers’ behaviour: An eye-tracking study. Int. J. Bank Mark. 2019, 37, 821–837. [Google Scholar] [CrossRef]
  62. Ceravolo, M.G.; Farina, V.; Fattobene, L.; Leonelli, L.; Raggetti, G. Anchoring effect in visual information processing during financial decisions: An eye-tracking study. J. Neurosci. Psychol. Econ. 2022, 15, 19–30. [Google Scholar] [CrossRef]
  63. Chen, M.; Chen, Y.; Qi, R.; Hsiao, J.H.W.; Lam, W.W.T.; Liao, Q. Testing the effects of health-benefit, environmental-benefit and co-benefit priming for promoting sustainable food choice and their psychological mechanisms: A randomized controlled trial combined with eye tracking. J. Environ. Psychol. 2024, 100, 102485. [Google Scholar] [CrossRef]
  64. Chen, Y.; Jermias, J.; Panggabean, T. The Role of Visual Attention in the Managerial Judgment of Balanced-Scorecard Performance Evaluation: Insights from Using an Eye-Tracking Device. J. Account. Res. 2016, 54, 113–145. [Google Scholar] [CrossRef]
  65. Devetag, G.; Di Guida, S.; Polonio, L. An eye-tracking study of feature-based choice in one-shot games. Exp. Econ. 2016, 19, 177–201. [Google Scholar] [CrossRef]
  66. Ding, J.; Yu, J.G.; Bansal, P. Preferences for electric vehicles under uncertain charging prices: An eye-tracking study. Transp. Res. Part D: Transp. Environ. 2025, 140, 104608. [Google Scholar] [CrossRef]
  67. Duclos, R. The Psychology of Investment Behavior: (De)biasing Financial Decision making One Graph at a Time. J. Consum. Psychol. 2015, 25, 317–325. [Google Scholar] [CrossRef]
  68. Fiedler, S.; Glöckner, A.; Nicklisch, A.; Dickert, S. Social Value Orientation and Information Search in Social Dilemmas: An Eye-Tracking Analysis. Organ. Behav. Hum. Decis. Process. 2013, 120, 272–284. [Google Scholar] [CrossRef]
  69. Garcia-Carrion, B.; Del Barrio-Garcia, S.; Munoz-Leiva, F.; Porcu, L. Exploring destination positioning and message congruence in tourism management: An eye-tracking and fMRI study. Tour. Manag. 2025, 108, 105111. [Google Scholar] [CrossRef]
  70. Hilbert, L.P.; Noordewier, M.K.; Seck, L.; van Dijk, W.W. Financial scarcity and financial avoidance: An eye-tracking and behavioral experiment. Psychol. Res. 2024, 88, 2211–2220. [Google Scholar] [CrossRef]
  71. Hüsser, A.; Wirth, W. Do Investors Show an Attentional Bias toward Past Performance? An Eye-Tracking Experiment on Visual Attention to Mutual Fund Disclosures in Simplified Fund Prospectuses. J. Financ. Serv. Mark. 2014, 19, 169–185. [Google Scholar] [CrossRef]
  72. Jin, J.; Wang, A.; Wang, C.; Ma, Q. How do consumers perceive and process online overall vs. individual text-based reviews? Behavioral and eye-tracking evidence. Inf. Manag. 2023, 60, 103795. [Google Scholar] [CrossRef]
  73. Krucien, N.; Ryan, M.; Hermens, F. Visual attention in multi-attributes choices: What can eye-tracking tell us? J. Econ. Behav. Organ. 2017, 135, 251–267. [Google Scholar] [CrossRef]
  74. Lahey, J.N.; Oxley, D. The Power of Eye Tracking in Economics Experiments. Am. Econ. Rev. 2016, 106, 309–313. [Google Scholar] [CrossRef]
  75. Lewis, K.E.; Grebitus, C.; Nayga, R.M., Jr. The impact of brand and attention on consumers’ willingness to pay: Evidence from an eye tracking experiment. Can. J. Agric. Econ. Rev. Can. D’agroeconomie 2016, 64, 753–777. [Google Scholar] [CrossRef]
  76. Modi, N.; Singh, J. Understanding online consumer behavior at e-commerce portals using eye-gaze tracking. Int. J. Hum. –Comput. Interact. 2023, 39, 721–742. [Google Scholar] [CrossRef]
  77. Mou, J.; Shin, D. Effects of social popularity and time scarcity on online consumer behaviour regarding smart healthcare products: An eye-tracking approach. Comput. Hum. Behav. 2018, 78, 74–89. [Google Scholar] [CrossRef]
  78. Rasch, C.; Louviere, J.J.; Teichert, T. Using facial EMG and eye tracking to study integral affect in discrete choice experiments. J. Choice Model. 2015, 14, 32–47. [Google Scholar] [CrossRef]
  79. Ren, Y.; Liu, Q.; Wu, G.; Loy, J.P. Consumer preferences for sugar-sweetened beverages: Evidence from online surveys and laboratory eye-tracking choice experiments. Food Policy 2025, 130, 102791. [Google Scholar] [CrossRef]
  80. Reutskaja, E.; Nagel, R.; Camerer, C.F.; Rangel, A. Search dynamics in consumer choice under time pressure: An eye-tracking study. Am. Econ. Rev. 2011, 101, 900–926. [Google Scholar] [CrossRef]
  81. Ruppenthal, T. Eye-tracking studies on sustainable food consumption: A systematic literature review. Sustainability 2023, 15, 16434. [Google Scholar] [CrossRef]
  82. Ryan, M.; Krucien, N.; Hermens, F. The eyes have it: Using eye tracking to inform information processing strategies in multi-attributes choices. Health Econ. 2018, 27, 709–721. [Google Scholar] [CrossRef]
  83. Shavit, T.; Giorgetta, C.; Shani, Y.; Ferlazzo, F. Using an Eye Tracker to Examine Behavioral Biases in Investment Tasks: An Experimental Study. J. Behav. Financ. 2010, 11, 185–194. [Google Scholar] [CrossRef]
  84. Sielicka-Różyńska, M.; Jerzyk, E.; Gluza, N. Consumer perception of packaging: An eye—tracking study of gluten—free cookies. Int. J. Consum. Stud. 2021, 45, 14–27. [Google Scholar] [CrossRef]
  85. Simonetti, A.; Bigne, E. Customer journey-based smart technology of new brands: A self-reported and eye-tracking study. J. Consum. Mark. 2025. [Google Scholar] [CrossRef]
  86. Sirois, L.P.; Bédard, J.; Bera, P. The informational value of key audit matters in the auditor’s report: Evidence from an eye-tracking study. Account. Horiz. 2018, 32, 141–162. [Google Scholar] [CrossRef]
  87. Toma, F.M.; Cepoi, C.O.; Kubinschi, M.N.; Miyakoshi, M. Gazing through the bubble: An experimental investigation into financial risk-taking using eye-tracking. Financ. Innov. 2023, 9, 28. [Google Scholar] [CrossRef]
  88. Vila, J.; Gomez, Y. Extracting business information from graphs: An eye tracking experiment. J. Bus. Res. 2016, 69, 1741–1746. [Google Scholar] [CrossRef]
  89. Wang, Q.; Ma, D.; Chen, H.; Ye, X.; Xu, Q. Effects of background complexity on consumer visual processing: An eye-tracking study. J. Bus. Res. 2020, 111, 270–280. [Google Scholar] [CrossRef]
  90. Wästlund, E.; Otterbring, T.; Gustafsson, A.; Shams, P. Heuristics and Resource Depletion: Eye-Tracking Customers’ in Situ Gaze Behavior in the Field. J. Bus. Res. 2015, 68, 95–101. [Google Scholar] [CrossRef]
  91. Zhen, S.; Xia, X.; Huang, L.; Cao, Y.; Fu, H.; Ren, Y. Does risk preference matter to consumers’ willingness to pay for functional food: Evidence from lab experiments using the eye-tracking technology. Food Qual. Prefer. 2024, 119, 105197. [Google Scholar] [CrossRef]
  92. Mancini, M.; Cherubino, P.; Martinez, A.; Vozzi, A.; Menicocci, S.; Ferrara, S.; Giorgi, A.; Aricò, P.; Trettel, A.; Babiloni, F. What Is behind In-Stream Advertising on YouTube? A Remote Neuromarketing Study employing Eye-Tracking and Facial Coding techniques. Brain Sci. 2023, 13, 1481. [Google Scholar] [CrossRef]
  93. Bojko, A. Eye Tracking the User Experience: A Practical Guide to Research; Rosenfeld Media: New York, NY, USA, 2013. [Google Scholar]
  94. Duchowski, A.T. Eye Tracking Methodology: Theory and Practice; Springer International Publishing AG: Cham, Switzerland, 2017. [Google Scholar]
Figure 1. Example of heat map concentrated on the logo, website address, and mission of the cooperative banks. Source: own research.
Figure 1. Example of heat map concentrated on the logo, website address, and mission of the cooperative banks. Source: own research.
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Figure 2. Distribution of respondents’ answers to the question: “Is this advertisement for you?”. Source: own research.
Figure 2. Distribution of respondents’ answers to the question: “Is this advertisement for you?”. Source: own research.
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Figure 3. Bank leaflet with excessive text discouraging young people from reading. Source: own research.
Figure 3. Bank leaflet with excessive text discouraging young people from reading. Source: own research.
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Figure 4. Example of a bank leaflet that graphically (using arrows) and with short notes indicates the location of individual elements of a payment card and how they should be protected. Source: own research.
Figure 4. Example of a bank leaflet that graphically (using arrows) and with short notes indicates the location of individual elements of a payment card and how they should be protected. Source: own research.
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Figure 5. An example of an advertisement featuring images of athletes well-known to the local community. Source: own research.
Figure 5. An example of an advertisement featuring images of athletes well-known to the local community. Source: own research.
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Figure 6. A graphic element from a leaflet promoting various bank services (“We Have It All Here” Campaign). Source: own research.
Figure 6. A graphic element from a leaflet promoting various bank services (“We Have It All Here” Campaign). Source: own research.
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Table 1. A literature review on various aspects of Generation Z.
Table 1. A literature review on various aspects of Generation Z.
Generation Z Characteristics
Age range definitionsMost dictionaries, like the Merriam-Webster Online Dictionary, the Oxford Dictionary, and Encyclopedia Britannica, define Generation Z as the generation of people born in the late 1990s and early 2000s [28,29,30]. Researchers and popular media use the mid-to-late 1990s as starting birth years and the early 2010s as ending birth years, with the generation loosely being defined as people born around 1997 to 2012 (Twenge 2017) [31] (Dimock 2019) [32]. Generation Z is the generation reaching adulthood in the second decade of the 21st century, and is perceived as being familiar with the Internet from a very young age [33,34].
TerminologyGeneration Z follows the millennial generation (or Millennials), sometimes called Generation Y, which followed Generation X. Reaching the end of the standard Latin alphabet, Generation Z is succeeded by Generation Alpha, the first generation to be assigned a Greek letter.
Generation Z (often shortened to Gen Z or Gen Zers) is also known as Zoomers. Other proposed names for the generation included: Homeland Generation, Homelanders, Centennials, iGeneration, Post-millennials, Pluralist Generation, Internet Generation, Net Gen, Digital Natives, and Neo-Digital Natives.
General descriptionMembers of Gen Z are true digital natives; from a very young age, they have been exposed to the Internet, social networking sites, e-commerce, and mobile systems. Members of Generation Z have been born or raised around the time of the 9/11 terrorist attacks and have been undeniably shaped by the recession of 2007–2009 and the COVID-19 pandemic. The Economist has described Generation Z as being more educated, well-behaved, stressed, depressed, and exam-obsessed in comparison to previous generations [35]. While Generation Z proved to be less resilient than older cohorts, their fundamental values did not change, and they remained open to change, such as the transition towards hybrid school and remote work. They prefer to get their news from social media networks such as Instagram and TikTok and the video-sharing site YouTube rather than more traditional media, such as radio or television. Generation Z members spend much leisure time watching streaming, Internet scrolling, social networking, watching YouTube videos, and playing games on smartphones. Generation Z has gradually become the main force of market consumption [36]. As consumers, Generation Z members typically rely on the Internet to research their options and place orders. They are generally skeptical and avoid companies whose practices and values are contradictory [37,38]. Their purchases are heavily influenced by trends promoted by “influencers” on social media [39,40,41], as well as fear of missing out (FOMO) and peer pressure [42]. The need to be “trendy” is a key motivator. Due to their relatively high income, members of Generation Z have higher spending habits. According to new research, they rely on social media to make purchasing decisions, with health and beauty products being the most frequently purchased category on these platforms [43]. Generation Z shows greater concern for the environment and an eco-friendly lifestyle, which may influence consumer and social trends [44]. Generation Z expects flexibility, development opportunities, the use of new technologies, and transparency from employers.
Use of information and communications technology (ICT)Generation Z is made up of individuals who grew up in a fully digitalized society. Information and communications technology (ICT), including the Internet and mobile devices, is a natural and integral part of their lives. They are characterized by high proficiency in using digital tools and a preference for online communication. They grew up in a world where the Internet and mobile technologies are commonplace, unlike older generations who had to learn them [45]. They are often referred to as digital natives [46]. Generation Z is accustomed to processing information quickly and is capable of multitasking. Generation Z lives in an era of widespread access to social media and consistently integrates it into their daily lives, using it not only to communicate with friends and family but also to interact with people they would otherwise never meet in person. The vast majority use social media and spend a lot of time online [47]. They prefer to communicate via social media, instant messaging, and other online platforms. They actively create online content, not just consume it like older generations [48]. They are typically proficient in using various devices and software, often without the need to read manuals. Generation Z is characterized by openness to new technologies and work methods. In summary, Generation Z is a generation deeply connected to ICT, shaping their way of thinking, communicating, and lifestyle. Understanding their needs and preferences is crucial for businesses, education, and society as a whole.
Marketing for Generation ZMarketing to Generation Z requires understanding their unique characteristics and preferences. These individuals have been raised in the digital age and are fluent in technology and social media. Key principles of marketing to this generation include authenticity, speed, visuality, interactivity, social and ecological engagement, and personalization. Generation Z demands new forms of communication and marketing. Companies must adapt their communication strategies to their preferences, prioritizing authenticity, storytelling, and social media engagement. Gen Zers have short attention spans, requiring brands to create concise, visual, and engaging content [49,50]. Gen Z values authenticity and credibility in brands. They expect honesty and transparency in communication, as well as a commitment to important social and environmental issues. Gen Z is the generation with responsible behavior regarding environmental protection and a real promoter of Green Marketing culture [44]. Zoomers enjoy interactive content that allows for engagement and personalization, such as contests, quizzes, and the ability to create their own content. Gen Z is highly engaged with social media and follows influencers, making influencer marketing an effective way to reach this group. Gen Z spends most of its time on mobile devices, so content should be optimized for smartphones and tablets.
Website designWebsite design for Generation Z should prioritize minimalism, speed, intuitiveness, and engaging visuals. Gen Z values authenticity, inclusivity, and seamless mobile experiences, favoring websites that are fast, easy to navigate, and visually appealing with interactive elements [51]. Gen Z prefers websites that are easy to scan and understand, with ample white space and clear typography. They prioritize simple and straightforward navigation that allows users to find information quickly [52]. Since Gen Z is highly mobile-centric, websites have to be fully responsive and optimized for mobile devices. Gen Z enjoys visually stimulating designs with strong colors and dynamic elements. Interactive elements, like animations, micro-interactions, and scroll-triggered effects, make websites more engaging [53]. Videos, GIFs, and other multimedia content can enhance the user experience and capture Gen Z’s attention [54]. Gen Z expects websites to load quickly. Designers should incorporate visuals and content that reflect a range of backgrounds and perspectives to showcase inclusivity. Websites have to be accessible to users with disabilities and offer personalized experiences based on user preferences [55]. By focusing on these key elements, website designers can create engaging and effective online experiences that resonate with Gen Z users.
Source: own research.
Table 2. Examples of eye-tracking applications in economic research (including consumer behavior).
Table 2. Examples of eye-tracking applications in economic research (including consumer behavior).
AuthorsTitleYear
K. Balcombe, I. Fraser, L. Williams, E. McSorley [56]Examining the relationship between visual attention and stated preferences: A discrete choice experiment using eye-tracking2017
P. Ballco, T. De-Magistris, V. Caputo [57]Consumer preferences for nutritional claims: An exploration of attention and choice based on an eye-tracking choice experiment2019
P. Bansal, E. J. Kim, S. Ozdemir [58]Discrete choice experiments with eye-tracking: How far we have come and ways forward2024
M. Bartels, K. Tillack, C. T. Jordan Lin [59]Communicating nutrition information at the point of purchase: An eye-tracking study of shoppers at two grocery stores in the United States2018
N. Bault, P. Wydoodt, G. Coricelli [60]Different attentional patterns for regret and disappointment: An eye-tracking study2016
M. G. Ceravolo, V. Farina, L. Fattobene, L. Leonelli, and G. Raggetti [61]Presentational format and financial consumers’ behaviour: An eye-tracking study2019
M. G. Ceravolo, V. Farina, L. Fattobene, L. Leonelli, G. Raggetti [62]Anchoring effect in visual information processing during financial decisions: An eye-tracking study2022
M. Chen, Y. Chen, R. Qi, J. H. W. Hsiao, W. W. T. Lam, Q. Liao [63]Testing the effects of health-benefit, environmental-benefit and co-benefit priming for promoting sustainable food choice and their psychological mechanisms: A randomized controlled trial combined with eye tracking2024
Y. Chen, J. Jermias, T. Panggabean [64]The role of visual attention in the managerial judgment of balanced-scorecard performance evaluation: Insights from using an eye-tracking device2016
G. Devetag, S. Di Guida, L. Polonio [65]An eye-tracking study of feature-based choice in one-shot games2016
J. Ding, J. G. Yu, P. Bansal [66]Preferences for electric vehicles under uncertain charging prices: An eye-tracking study2025
R. Duclos [67]The psychology of investment behavior: (De)biasing financial decision making one graph at a time2015
S. Fiedler et al. [68]Social value orientation and information search in social dilemmas: An eye-tracking analysis2013
B. Garcia-Carrion, S. Del Barrio-Garcia, F. Munoz-Leiva, F., L. Porcu [69]Exploring destination positioning and message congruence in tourism management: An eye-tracking and fMRI study2025
L.P. Hilbert, M.K. Noordewier, L. Seck et al. [70] Financial scarcity and financial avoidance: an eye-tracking and behavioral experiment2024
A. Hüsser, W. Wirth [71]Do investors show an attentional bias toward past performance? An eye-tracking experiment on visual attention to mutual fund disclosures in simplified fund prospectuses2014
J. Jin, A. Wang, C. Wang, Q. Ma [72]How do consumers perceive and process online overall vs. individual text-based reviews? Behavioral and eye-tracking evidence2023
N. Krucien, M. Ryan, F. Hermens [73]Visual attention in multi-attributes choices: What can eye-tracking tell us?2017
J. N. Lahey, D. Oxley [74]The power of eye tracking in economics experiments2016
K. E. Lewis, C. Grebitus, R. M. Nayga [75]The impact of brand and attention on consumers’ willingness to pay: Evidence from an eye tracking experiment2016
N. Modi, J. Singh [76]Understanding online consumer behavior at e-commerce portals using eye-gaze tracking2023
J. Mou, D. Shin [77]Effects of social popularity and time scarcity on online consumer behaviour regarding smart healthcare products: An eye-tracking approach2018
C. Rasch, J. J. Louviere, T. Teichert [78]Using facial EMG and eye tracking to study integral affect in discrete choice experiments2015
Y. Ren, Q. Liu, G. Wu, J. P. Loy [79]Consumer preferences for sugar-sweetened beverages: Evidence from online surveys and laboratory eye-tracking choice experiments2025
E. Reutskaja, R. Nagel, C. F. Camerer, A. Rangel [80]Search dynamics in consumer choice under time pressure: An eye-tracking study2011
T. Ruppenthal [81]Eye-tracking studies on sustainable food consumption: A systematic literature review2023
M. Ryan, N. Krucien, F. Hermens [82]The eyes have it: Using eye tracking to inform information processing strategies in multi-attributes choices2018
T. Shavit et al. [83]Using an eye tracker to examine behavioral biases in investment tasks: An experimental study2010
M. Sielicka-Różyńska, E. Jerzyk, N. Gluza [84]Consumer perception of packaging: An eye-tracking study of gluten-free cookies2021
A. Simonetti, E. Bigne [85]Customer journey-based smart technology of new brands: a self-reported and eye-tracking study2025
L. P. Sirois, J. Bédard, P. Bera [86]The informational value of key audit matters in the auditor’s report: Evidence from an eye-tracking study2018
F. M. Toma, C. O. Cepoi, M. N. Kubinschi et al. [87]Gazing through the bubble: an experimental investigation into financial risk-taking using eye-tracking2023
J. Vila, Y. Gomez [88]Extracting business information from graphs: An eye tracking experiment2016
Q. Wang, D. Ma, H. Chen, X. Ye, Q. Xu [89]Effects of background complexity on consumer visual processing: An eye-tracking study2020
E. Wästlund et al. [90]Heuristics and resource depletion: Eye-tracking customers’ in situ gaze behavior in the field2015
S. Zhen, X. Xia, L. Huang, Y. Cao, H. Fu, Y. Ren [91]Does risk preference matter to consumers’ willingness to pay for functional food: Evidence from lab experiments using the eye-tracking technology2024
Source: own research.
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Pluskota, P.; Słupińska, K.; Wawrzyniak, A.; Wąsikowska, B. The Design of Informational and Promotional Messages by Cooperative Banks and Their Perception Among Young Consumers—An Eye-Tracking Analysis Versus Conscious Identification Based on Empirical Research. Appl. Sci. 2025, 15, 9635. https://doi.org/10.3390/app15179635

AMA Style

Pluskota P, Słupińska K, Wawrzyniak A, Wąsikowska B. The Design of Informational and Promotional Messages by Cooperative Banks and Their Perception Among Young Consumers—An Eye-Tracking Analysis Versus Conscious Identification Based on Empirical Research. Applied Sciences. 2025; 15(17):9635. https://doi.org/10.3390/app15179635

Chicago/Turabian Style

Pluskota, Przemysław, Kamila Słupińska, Agata Wawrzyniak, and Barbara Wąsikowska. 2025. "The Design of Informational and Promotional Messages by Cooperative Banks and Their Perception Among Young Consumers—An Eye-Tracking Analysis Versus Conscious Identification Based on Empirical Research" Applied Sciences 15, no. 17: 9635. https://doi.org/10.3390/app15179635

APA Style

Pluskota, P., Słupińska, K., Wawrzyniak, A., & Wąsikowska, B. (2025). The Design of Informational and Promotional Messages by Cooperative Banks and Their Perception Among Young Consumers—An Eye-Tracking Analysis Versus Conscious Identification Based on Empirical Research. Applied Sciences, 15(17), 9635. https://doi.org/10.3390/app15179635

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