Abstract

Before a customer even clicks “Buy Now”, countless decisions about their purchase have already been made for them. Digital commerce has changed the way consumers shop and make purchasing decisions. When someone shops online, they are not just choosing between products; they are also interacting with an environment that has been designed around that choice. Companies have control over what consumers see first and what information stands out. Even small decisions about the layout of a website can change the customer’s experience and potentially affect the decision being made. For example, a customer who originally planned to buy one item may end up adding another to their cart because the website has a bar that shows how close they are to free shipping.

Introduction and Theoretical Foundations

Traditional economics often assumes that consumers make rational decisions based on the information available to them. Behavioural economics looks at the parts of decision making that are not always that simple. People can be influenced by how information is presented or what they have already seen. The environment surrounding a decision can matter just as much as the product itself. Digital commerce makes this especially important because companies have more control over that environment than they would in many traditional shopping experiences (Helberger et al., 2022).

The growth of online shopping has also changed the amount of information consumers are expected to process. A customer can move between products almost instantly while being shown different prices and recommendations along the way. Having access to this much information can be helpful, but it can also make a simple purchase feel more complicated. Consumers have to decide what information actually matters and what can be ignored. This is where the design of a platform becomes important. A website has to decide how information is organised and how easily consumers can move through it. There is not necessarily one perfect way to do this. A platform that provides too little information may leave consumers unsure about what they are buying, while one that provides too much can make the decision harder than it needs to be. The way a platform handles this balance can change how consumers experience the entire purchasing process (Helberger et al., 2022).

The amount of control companies have over these environments also creates questions that go beyond whether a website is effective. A design choice can make shopping easier, but it can also be used to influence a consumer in ways they may not recognise. The difference between helping someone decide and pushing them toward a decision is not always obvious. As companies learn more about consumer behaviour, that difference becomes more important.

This paper looks at the relationship between behavioural economics and digital commerce, focusing on how the environment surrounding a purchase can shape consumer decisions. It considers the ways digital platforms use what is known about consumer behaviour and what happens when those strategies become part of the design itself. Understanding that relationship can help explain why people make certain choices online and raises a larger question about how much influence a platform should have over the person using it. While these ideas explain why the environment surrounding a purchase matters, they also raise a more specific question: how do digital platforms actually use that environment to influence consumers? Although interface design can make online shopping more convenient, the same principles can be used to push consumers toward decisions that primarily benefit the company. This becomes particularly important when businesses intentionally use behavioural tendencies to shape the choices available to consumers. These practices are commonly associated with dark patterns, which provide a useful starting point for examining the relationship between behavioural economics and digital commerce (Federal Trade Commission, 2022).

Mechanisms of Interface Complexity and Dark Patterns

While the tactics previously outlined may seem essentially harmless, there are numerous ways in which companies prioritise their own gain as opposed to that of the customer. Dark patterns refer to the utilisation of the layout or format of a digital interface in order to persuade the consumer into making decisions that will benefit the company more than themselves. Specifically, businesses will harness heuristics (mental shortcuts) for irrational purchasing habits and change the standard decision making environment. Choice architecture, prospect theory and bounded rationality are three key examples, explored particularly within subscription-based platforms, to gain insight to common methods used by companies (Federal Trade Commission, 2022; Helberger et al., 2022).

Interface complexity is at the core of the mentioned mechanisms; in the new digital age, it is a highly effective method to increase revenue. Despite its great influence on consumption and, therefore, gain for the company, the consumer is left with the struggle of making more conscious decisions in order to combat the manipulation of businesses surrounding them daily. Choice architecture, for example, is implemented by structuring a platform in such a way that makes the consumer’s choices inorganic. Using the layout to shift consumer attention to smaller, more attractive numbers rather than showing the full price upfront. Subscriptions are a large part of our society in today’s day and age. When signing up for a subscription, the platform may push that keeping up the recurring payments is simple and easy, while simultaneously making it challenging to cancel or even downgrade the subscription. This contrast is seen in interface complexity when signing up will be essentially one to two clicks while cancelling will take much more effort, such as navigating smaller website menus. The objective in this case, is to keep the customer paying by making it significantly harder to cancel the subscription than to keep it: a prime example of consumers taking more mental shortcuts rather than being completely rational and ending it regardless of the struggle it comes with (Einav et al., 2023).

Prospect theory becomes increasingly prominent when complexity refers to pricing as well as the interface. The theory entails showing a base price and small add-ons as specific benefits or services as opposed to showing the total price as a stand-alone. This tactic makes the initial price a “base price”, prompting the consumer to view it as a reference point. The additional costs then seem to be less expensive than they are by comparison. A real-life example would be showing a flight as $300, with additional prices for baggage or ensuring you keep your flight being much less (e.g., $40. This will not bother the consumer as much, in theory, because they perceive the price as much less than that of the flight itself (Wu & Cheng, 2011). This principle connects to loss aversion, a bias where the emotional pain of loss hurts much more than the pleasure of gaining an equivalent amount, because while customers feel the concern of losing something they paid for, it stands to reason that they would pay a “less significant fee” in order to keep their initial purchase valid, clearly benefitting the business rather than the customer themselves. Prospect theory and choice architecture are alike in this way because they both frame a narrative that ending the subscription would be a significant loss for the consumer, even if it is not true and the platform goes unused (Helberger et al., 2022).

The final mechanism that highlights dark patterns is called bounded rationality. Bounded rationality corners the consumer into choosing the perceived easiest option that benefits the company by using a practically unnavigable layout. This mechanism is heavily linked to choice architecture and manifests as a more extreme version. Ending payments becoming increasingly difficult is an example of its connection with choice architecture. Its difference is that rather than a few more clicks, it takes significantly more effort to end a subscription. Navigating a multitude of help websites and having to make a call are two examples of amplified intricacy that lead to consumer fatigue. Making the reason why consumers struggle to be decisive and default to prioritising quick and concise actions evident. Companies are aware of these consumer behaviours and make a point of using them to their advantage. Bombarding the user with a myriad of slightly different options for subscriptions are an example of making it difficult for consumers to understand the more valuable option for themselves, allowing the company to put in a default option that is, most likely, more convenient for themselves rather than the consumer. While in our daily lives, bounded rationality may cause mild frustration, it is a bigger issue because the more prominent it becomes in our lives, the less likely it will be that consumers will be able to adjust their expectations and how they approach their online presence (Federal Trade Commission, 2022; Helberger et al., 2022).

These mechanisms are more than mildly frustrating. Companies intentionally utilising them in order to cause consumers to default to mental shortcuts are a problem in our society because the tactics fall into dark patterns. Dark patterns highlight a controversial side of marketing and display of products. If subscribers were to be more intentional in their purchases, these problems would likely subside, but the root of the problem, being business’ misuse of power, would not be addressed. Choice architecture and prospect theory exhibited the ways interfaces can subvert attention to more palatable options for customers while bounded rationality expanded on the lack of uninfluenced choice in decision making in online spaces (Federal Trade Commission, 2022; Helberger et al., 2022).

The mechanisms discussed above demonstrate how interface design can influence consumers by changing the way choices are presented. However, these strategies do not exist in isolation. Digital platforms can combine different psychological principles throughout the purchasing process, using several biases at once to strengthen their influence over consumer behaviour. Examining these broader applications helps show how the concepts of choice architecture, prospect theory and bounded rationality operate alongside other heuristics in real digital marketplaces (Khadem, 2026).

Heuristic Manipulation in Digital Marketplaces

Digital commerce corporations frequently exploit an interconnected web of cognitive biases and psychological theories to systematically manipulate consumer behaviour. This process often begins with anchoring, where retailers display an inflated, artificial original price crossed out next to a discounted price. This sets a high initial reference point in the consumer’s mind, making the actual selling price appear to be a significant bargain (Wu & Cheng, 2011). Once the consumer’s interest is piqued by this perceived value, platforms exploit confirmation bias to solidify the purchase intent. Because consumers naturally seek out data that validates their existing positive assumptions while ignoring negative feedback, e-commerce marketplaces track past search history to curate personalised interfaces. These algorithms intentionally place glowing reviews at the top of the page while burying critical feedback where it is rarely seen (Khadem, 2026).

To force a rapid decision before the consumer can rationalise the purchase, corporations immediately layer this experience with the scarcity heuristic. By creating artificial urgency through claims that stock is extremely limited or that a deal expires shortly, even when inventory is abundant, platforms trigger a fear of missing out that compels immediate action (Cremer & Loebbecke, 2021). This urgency is further reinforced by the availability heuristic, driven by the “frequency of exposure” rule. Through repetitive and omnipresent advertisement campaigns across the internet, brands maintain constant visibility. This continuous exposure ensures the product remains highly accessible and familiar in the buyer’s mind, making it feel inherently superior to lesser-known competitors (Khadem, 2026). Finally, corporations utilise the framing effect to remove any remaining financial friction by altering how identical costs are presented. For instance, a consumer is statistically more likely to accept a subscription of $12 per month rather than a single annual payment of $144, as the smaller monthly instalment structurally reduces the perceived immediate financial pain and is used as a psychological trick for all consumers alike (Wu & Cheng, 2011).

Collectively, these psychological factors distort a consumer’s perception of true value, a strategy pioneered with massive success by Amazon. As noted by Mohammed (2024), Amazon “understands these biases better than anyone else. They’ve built an empire by leveraging these psychological tricks to their advantage… Amazon is playing a game of cognitive chess, anticipating our moves and steering us towards the ‘Buy Now’ button.” However, this manipulative framework extends far beyond a single platform; tech giants like Uber Eats and Apple deploy these same strategies with immense success, forcing smaller businesses to follow these strategies to be able to compete. Consequently, modern digital commerce has largely shifted away from offering optimal consumer value, prioritising profit maximisation through targeted psychological optimisation.

The widespread use of these psychological strategies therefore raises a question that goes beyond whether they are effective: is it ethical for companies to deliberately design digital environments around predictable weaknesses in human decision-making? While the previous section demonstrates how heuristics can increase consumer spending, their effectiveness also creates the possibility of manipulation. When these techniques move from simply influencing choices to deliberately limiting or distorting them, the issue becomes one of consumer autonomy, informed consent and corporate responsibility.

Ethical Dilemmas and Regulatory Accountability

The systematic deployment of heuristic manipulation within digital marketplaces introduces a profound ethical crisis by destabilising consumer autonomy and informed consent. Traditional market theory assumes transactions are mutually beneficial exchanges enacted by rational agents with symmetrical information access. However, when digital architectures intentionally exploit cognitive vulnerabilities, such as the scarcity heuristic and loss aversion, they create a severe structural imbalance. By deploying automated scripts that fabricate real-time demand (e.g., falsely claiming “only two items left”), platforms deliberately bypass rational deliberation. This subversion of human agency transforms the digital interface into an environment of psychological coercion, invalidating the ethical legitimacy of the transaction (Federal Trade Commission, 2022; Helberger et al., 2022).

This degradation is most acutely observed in “dark patterns” – user interfaces engineered to prioritise corporate profit over personal utility. When platforms weaponise scarcity alongside the default effect, they structurally compromise a consumer’s freedom of choice. For instance, ride-hailing applications frequently display surge-pricing algorithms alongside countdown timers to induce immediate panic buying under the threat of impending scarcity. By artificially restricting the decision-making time window, corporations prevent consumers from comparing alternative options or assessing the true necessity of the transaction. This intentional constriction reduces the buyer’s role from an autonomous decision-maker to a reactive participant responding to synthetic urgency (Federal Trade Commission, 2022; Helberger et al., 2022).

The ethical implications deepen significantly when these psychological exploits target vulnerable demographics. While financially secure individuals experience minor buyer’s remorse, low-income consumers face severe financial precarity when exposed to aggressive heuristic targeting. E-commerce platforms frequently leverage the framing effect to market high interest “Buy Now, Pay Later” (BNPL) schemes, breaking down substantial financial burdens into seemingly trivial instalments. By masking long-term compounding costs and emphasising immediate availability, corporations exploit the present bias of financially distressed consumers. Consequently, the intersection of predatory interface design and heuristic exploitation drives systemic economic harm, locking vulnerable populations into cycles of debt.

Furthermore, this manipulative framework erodes market trust, transforming digital commerce into an environment of persistent skepticism. When platforms continuously employ deceptive anchors and fabricated social proof, such as pop-ups alleging dozens of anonymous users are viewing the same hotel room, the authenticity of information is completely compromised. Over time, consumers suffer from chronic cognitive fatigue as they must dedicate significant mental energy to distinguishing legitimate data from corporate deception. This pervasive erosion of trust devalues the consumer experience and forces a cynical shift in the marketplace, where transparency is systematically replaced by adversarial data architectures (Federal Trade Commission, 2022).

From a regulatory perspective, the pervasive use of these psychological exploits reveals a glaring systemic failure in market accountability. Because digital corporations operate within highly opaque, proprietary codebases, their algorithmic manipulations remain largely shielded from public scrutiny and traditional legal frameworks. Regulatory bodies, such as the Federal Trade Commission (FTC), struggle to police these subterranean dark patterns, as the line between aggressive marketing and psychological deception is continuously blurred. This regulatory vacuum allows tech monopolies to treat the ethical violations of heuristic exploitation as mere externalised costs, prioritising short-term conversion metrics over long-term consumer welfare (Federal Trade Commission, 2022).

Ultimately, the commercialisation of cognitive biases highlights an existential conflict between algorithmic efficiency and human dignity. When digital commerce platforms treat human psychology as a code to be cracked for profit optimisation, they reduce individual consumers to mere bundles of predictable behavioural impulses. This systemic reductionism ignores the moral imperative that individuals must be treated as ends in themselves, rather than as instruments for corporate revenue extraction. As these behavioural optimisation models grow increasingly sophisticated through predictive machine learning, preventing this trajectory requires a fundamental reassessment of digital design ethics, shifting the objective of e-commerce away from exploitation and toward genuine value creation.

The ethical concerns surrounding digital commerce ultimately return to the central issue raised at the beginning of this paper: the environment in which a consumer makes a decision can be just as influential as the decision itself. Behavioural economics explains why consumers are susceptible to certain forms of influence, while the analysis of dark patterns demonstrates how companies can incorporate those vulnerabilities directly into digital interfaces. Together, these ideas provide a clearer understanding of why the design of online marketplaces matters and why the distinction between helpful influence and manipulation is increasingly important (Helberger et al., 2022).

Conclusion and the Future of Digital Design

Digital commerce shows that a purchasing decision involves much more than the product someone chooses. The environment surrounding that decision can affect what a consumer notices and how they understand the choices in front of them. Throughout this paper, it becomes clear that these influences can appear in parts of the shopping experience that consumers may not think much about. What seems like a small design decision can change the way a much larger decision is approached.

Behavioural economics helps explain why this happens. Consumers do not enter every purchase with unlimited time or attention; they respond to the way information is presented and often have to make decisions without considering every possible option. Digital platforms exist directly inside this process. They do not simply provide the products consumers choose between, but also build the environment where those choices happen.

That does not automatically make behavioural design a bad thing. Online shopping can involve a huge amount of information, and good design can make that information easier to understand. Consumers benefit when a platform makes a complicated decision feel manageable. Problems begin when making the experience easier is no longer the main goal and the design instead makes it harder for someone to understand what they are choosing. This distinction is important because influence cannot completely be removed from digital commerce. Every platform has to decide how its information will appear. There will always be something that a consumer notices first, and some choices will naturally be easier to find than others. Because of this, simply asking whether a website influences consumers does not really solve the problem. The more important question is what that influence is being used to accomplish.

Businesses have an obvious interest in encouraging consumers to make purchases, and effective design is part of doing that. Consumers, however, still need to be able to understand the decisions they are making. Those goals do not necessarily have to compete with each other. A company can create an experience that encourages engagement without depending on confusion to make it successful. This is also why the ethical side of digital commerce will continue to matter as platforms become more advanced. Companies are gaining a better understanding of how people behave online and have more opportunities to use that information within the purchasing process. The ability to influence behaviour will likely continue to grow with that knowledge. What matters is whether that influence is being used to improve the experience or take advantage of the person making the decision.

Ultimately, digital marketplaces are not neutral spaces. Every part of the environment has been designed in some way, and those decisions can shape the experience of the consumer using it. Understanding behavioural economics makes these influences easier to recognise and gives both businesses and consumers a better idea of where they come from. Digital platforms can still be designed to encourage purchasing while giving consumers enough transparency to make decisions for themselves. Finding that balance is what separates useful behavioural design from manipulation.

Coskun, E. and Grabowski, M. (2005) ‘Impacts of user interface complexity on user acceptance and performance in safety-critical systems’, Journal of Homeland Security and Emergency Management, 2(1), pp. 1–31.

Cremer, S. and Loebbecke, C. (2021) ‘Selling goods on e-commerce platforms: The impact of scarcity messages’, Electronic Commerce Research and Applications, 47, 101039.

Einav, L., Klopack, B. and Mahoney, N. (2023) Selling Subscriptions, NBER Working Paper No. w31547 (Cambridge, MA: National Bureau of Economic Research).

Federal Trade Commission (2022) ‘FTC report shows rise in sophisticated dark patterns designed to trick and trap consumers’, FTC [online]. <https://www.ftc.gov/reports/bringing-dark-patterns-light>

Getty Images (2016) Vector Elements of Infographics and User Interface Design. [Illustration]. <https://www.gettyimages.com/detail/illustration/vector-elements-of-infographics-and-user-royalty-free-illustration/532785673>

Getty Images (2019) Sales Funnel and Customer Journey Representation. [Illustration]. <https://www.gettyimages.com/detail/illustration/sales-funnel-management-landing-page-royalty-free-illustration/1167591802>

Grewal, D., Noble, S. M., Roggeveen, A. L. and Nordfält, J. (2020) ‘The future of in-store technology: The retail ecosystem and consumer behavior’, Journal of the Academy of Marketing Science, 48(1), pp. 96–113.

Helberger, N., Sax, M., Strycharz, J. and Micklitz, H-W. (2022) ‘Choice architectures in the digital economy: Towards a new understanding of digital vulnerability’, Journal of Consumer Policy, 45(2), pp. 175–200.

Khadem, A.N. (2026) Cognitive Biases in Online Consumer Behavior: Implications for Marketing Strategy, SSRN Scholarly Paper No. 6550702 (Rochester, NY: Social Science Research Network).

Mohammed, S. (2024) ‘20 Psychological Tricks Amazon Uses to Make You Buy More’, Medium [online]. <https://shahmm.medium.com/20-psychological-tricks-amazon-uses-to-make-you-buy-more-cde386c6f6e6>

Wu, C-S. and Cheng, F-F. (2011) ‘The joint effect of framing and anchoring on internet buyers’ decision-making’, Electronic Commerce Research and Applications, 10(3), pp. 358–368.