{"id":19747,"date":"2025-05-22T10:00:51","date_gmt":"2025-05-22T09:00:51","guid":{"rendered":"https:\/\/then.agency\/articoli\/neuromarketing-and-customer-experience"},"modified":"2026-10-07T23:16:49","modified_gmt":"2026-10-07T22:16:49","slug":"neuromarketing-and-customer-experience","status":"publish","type":"post","link":"https:\/\/then.agency\/en\/articoli\/neuromarketing-and-customer-experience","title":{"rendered":"Neuromarketing and Customer Experience: tools and methods"},"content":{"rendered":"

Neuromarketing and Customer Experience<\/strong> are today increasingly interconnected in the design of effective experiences.
\nIn recent years the concept of Customer Experience has gradually shifted from a functional view to a deeper, more systemic one, which includes emotions, perceptions, cognitive load and unconscious decisions. In this context, neuromarketing<\/strong> offers a very powerful point of view: it shifts the focus from the declaration of what we think we do to the measurement of what truly happens in the user’s mind and what their behavior means, often before the person themselves is aware of it.<\/p>\n

Integrating neuromarketing and Customer Experience<\/strong> therefore means designing starting from the cognitive and emotional processes that guide decisions, and not only from declared intentions.<\/p>\n

Origins and definition of neuromarketing<\/h2>\n

The term neuromarketing was introduced in 2002 by Professor Ale Smidts, at a historical moment when the dialogue between neuromarketing and Customer Experience<\/strong> was not yet central to the design debate. Its roots lie in the neuroscientific studies of the 1990s. It is the application of cognitive neuroscience to marketing, with the goal of analyzing the mental and emotional processes that influence decisions, often below the threshold of awareness.<\/p>\n

Unlike traditional market research, based mostly on explicit statements, neuromarketing focuses on what people really do, perceive and feel during an experience, going beyond what they remember or choose to tell after the fact.<\/p>\n

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According to a Harvard Business School study, 95% of purchase decisions happen at an unconscious level<\/strong>.<\/p>\n<\/blockquote>\n

This approach is particularly relevant in the design of Customer Experience: today, integrating neuromarketing and Customer Experience<\/strong> means designing starting from the user’s real behavior \u2013 and not only from their declared intention \u2013 reducing friction and increasing the effectiveness of the experience.<\/p>\n

The tools of neuromarketing<\/h2>\n

In the context of neuromarketing and Customer Experience<\/strong>, scientific tools play a central role in objectively measuring attention, emotion and engagement. Neuromarketing uses a series of technologies and methodologies that make it possible to analyze users’ real behavior along the different touchpoints of the experience.<\/p>\n

Naturally, some tools turn out to be easier to apply and also more sustainable from an economic standpoint<\/strong> in business projects. Among these, in particular, eye tracking and GSR<\/strong>, which make it possible to collect significant insights into users’ behavior and emotional reactions without requiring excessive investment or extremely complex research settings.<\/p>\n

Eye Tracking<\/h3>\n

Eye tracking analyzes eye movements to understand where visual attention concentrates<\/strong>, in what order and for how long. It is a fundamental tool for evaluating the effectiveness of digital interfaces, layouts, packaging and communication materials, making it possible to spot ignored elements, visual overload or unclear hierarchies.<\/p>\n

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A real case in banking<\/h4>\n

In a project I followed for a bank, during a usability test supported by eye tracking, a particularly interesting behavior emerged linked to users’ age. Two distinct age clusters showed clearly different patterns of visual attention on the home banking homepage.
\nA first group tended to focus mainly on text elements, using labels and descriptions as a guide for orienting themselves in the interface. The second cluster, instead, was drawn predominantly to icons and visual elements, starting their navigation from more immediate graphic cues.
\nAlthough the goal was the same \u2013 making a transfer \u2013 the navigation paths turned out to be completely different, while both led to the final action effectively.
\nThis insight led to a conscious design choice: keeping two different entry points for the same feature, going along with the two clusters’ natural cognitive inclinations. Subsequent tests confirmed that this solution did not create cognitive overload; on the contrary, it improved the perception of clarity and control, reducing the time needed to complete the operation.
\nThe case showed how observing real behavior, and not just stated preferences, can guide more inclusive, effective design decisions, especially in a sensitive context like banking, where clarity and trust are key elements of the experience.<\/p><\/blockquote>\n

GSR \u2013 Galvanic Skin Response<\/h3>\n

GSR measures changes in the skin’s electrical conductance, an indicator of emotional arousal<\/strong> (unconscious emotional impact). It does not identify the type of emotion, but measures its intensity, proving particularly useful for spotting moments of emotional peak during an experience.<\/p>\n

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An application example in TV commercials<\/strong><\/h4>\n

Using this tool is particularly effective with images and video content, as in the case of TV commercials. In these contexts it is essential to detect emotional engagement in the first seconds of the footage, since higher levels of arousal are generally associated with greater attention, deeper engagement and a higher probability of remembering the message.<\/p>\n

It is important to stress, however, that it is not only the intensity of the emotion generated that counts, but also its quality. For this reason, GSR should be paired with behavioral measurements \u2013 such as structured surveys or post-viewing interviews \u2013 that make it possible to understand whether the emotions aroused by the ad are positive, negative or neutral, and above all which specific emotions are activated.
\nWe know in fact that different emotions induce different behaviors: measuring arousal without interpreting its meaning risks providing incomplete or misleading insights. Integrating physiological data and behavioral data, by contrast, allows a more accurate, strategic reading of the ad’s effectiveness.<\/p><\/blockquote>\n

Other tools, less used in the business context, are those that have constraints tied to cost, complexity or implementation time.<\/p>\n

Facial Coding<\/h3>\n

Facial coding analyzes facial micro-expressions to detect emotions such as surprise, interest, frustration or discomfort. It can be used to test video content, storytelling, advertising spots and digital interactions.<\/p>\n

EEG (Electroencephalography)<\/h3>\n

EEG measures the brain’s electrical activity and makes it possible to analyze cognitive states such as attention, engagement and mental load. It is used to evaluate the effectiveness of ads, videos, digital experiences and complex flows, offering insights into the level of engagement and the ease of processing information.<\/p>\n

fMRI (Functional Magnetic Resonance Imaging)<\/h3>\n

fMRI makes it possible to observe which brain areas activate in response to certain stimuli. It is a very advanced tool, used above all in academic and research settings, which makes it possible to analyze emotional and motivational response in depth, although with limits tied to cost and context of use.<\/p>\n

Neuromarketing applied to Customer Experience<\/h2>\n

Applying neuromarketing to Customer Experience<\/a> means designing starting from real behavioral data, reducing the risk of decisions based on assumptions or biases internal to teams.<\/p>\n

In practice, these tools make it possible to:<\/p>\n