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By RSM Case Development Centre

Scientists have made important advances in understanding the complex entity of the human brain, and in applying their understanding to help people make better decisions.

Neuromarketing aims to understand the neurobiological mechanisms underlying customer responses to marketing and to better predict customer behaviour by monitoring brain activity. The Department of Marketing Management at RSM has been a frontrunner in neuromarketing research since Professor Ale Smidts coined the term in 2002. RSM’s neuromarketing research is published in top neuroscience and marketing journals, and has attracted wide attention from marketing professionals and the public.

Research

Headed by Smidts, the Erasmus Centre for Neuroeconomics based in RSM’s Department of Marketing Management has one of the largest neuromarketing research teams of any business school worldwide. The team tries to answer questions about how consumers make decisions, what our brains perceive as valuable, how our brains process persuasive messages, and how brain imaging can be used to predict purchasing decisions.

Given that consumers are not always able or willing to state their true preferences, neuromarketing not only asks them what they think but also measures how their brains respond to marketing messages. Two modern non-invasive brain imaging techniques, electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are commonly used in neuromarketing research. With recent advances in machine learning and data analytics, EEG and fMRI data can be used to indicate how consumers experience marketing appeals, and how this information can be used to understand and predict consumer behaviour. The Centre currently has two main lines of research:

1. Dynamic marketing stimuli

The first is assessing the quality of dynamic marketing stimuli. For example, in 2020, then-PhD candidate Dr Esther Eijlers, Dr Maarten Boksem and Prof. Ale Smidts used EEG to track emotions in the brain in real time. They collected EEG data from 40 students who were watching short videos; each video was designed to trigger a specific emotion: happiness, sadness, fear, or disgust. With machine learning techniques the researchers then classified the emotional content of these video clips by the frequency and topography of the EEG signals from the brains of their volunteer viewers. For the first time, researchers could see, moment by moment, which emotions people experience when they watch something. This was ground-breaking because before then, researchers using fMRI could only see how these processes were represented in the brain but were unable to trace short-lived emotional experiences as they evolved over time.

2. Neuroforecasting

The second line of research at the Erasmus Centre for Neuroeconomics is neuroforecasting – the use of brain data to forecast market-level outcomes and improving the accuracy of neural prediction models. A project by Dr Maarten Boksem and Prof. Ale Smidts provided evidence that brain data improves predictions of consumer choices compared to conventional methods. Using EEG, the team recorded the brain activity of 32 volunteer participants when watching 18 movie trailers. Then they compared the participants’ brain activity with what the participants said their preferences were, and later compared this data with data from US box office sales. Although EEG measurements and the participants’ own preferences indeed predicted individual choices for which movie to watch, only the EEG readings showed a strong correlation with a movie’s commercial success. The researchers identified this from correlations with the participant’s gamma oscillations which indicate mental processes associated with understanding and comprehension. In a recent meta-analysis, the predictive power of gamma oscillations was confirmed across five internationally diverse data sets. This finding significantly enhanced the accuracy of neural prediction models, opening up a whole new area for research and application.

Neuroforecasting techniques can also be applied to predict social and emotional influences on consumer decision-making and behaviour. Using fMRI, Dr Alexander Genevsky has accurately predicted the success of microlending and crowdfunding requests on the internet. In one experiment he and his team asked subjects to make decisions about real crowdfunding projects while their brains were scanned. The findings suggest that neural activity data from a small laboratory sample can forecast aggregate choice better than traditional behavioural measures. In another experiment, researchers collaborated with international NGO Kiva Microfunds, an online lending platform connecting online lenders to entrepreneurs, which now uses the Centre’s research findings to improve how it makes requests to potential donors. In the experiment, 28 participants were shown photographs of borrowers from Kiva loan pages along with the texts of loan requests. The neuroimaging results showed that activity in a specific region of the brain associated with positive feelings and reward (the nucleus accumbens) can predict the participants’ decisions whether or not to lend money, but more importantly, can forecast the real-world outcomes of the loans.

The Centre’s research enjoys considerable academic attention and recognition: articles based on it appear in top journals such as the Journal of Marketing Research, International Journal of Research in Marketing, Psychological Science, the Journal of Neuroscience, and Neuron. The paper Neural profiling of brands: mapping brand image in consumers’ brains with visual templates (Chan, Boksem and Smidts, 2018), in which a novel method was developed to measure brand image with fMRI, won the prestigious ERIM Top Article Award in 2019 – selected by a jury comprising members from three Dutch partner schools in economics and business.

Impact

The Centre’s research is highly interesting for the business world. Neuromarketing research provides insights into implicit processes underlying consumer responses to marketing stimuli, which are difficult – if not impossible – to obtain with conventional marketing research methods. These additional insights from neuroscience can help businesses to cut marketing costs by reducing the waste of resources while increasing the effectiveness of marketing activities.

Data for emotional experiences, for example, can show marketers and advertisers whether their product design or marketing communications have the intended emotional effect. Monitoring brain activity of consumers as they watch movie trailers or videos can reveal whether the content will have commercial success. Such granular assessment of consumer experience helps to optimise marketing campaigns and, if used in pre-testing, may prevent failure before they are launched. Now that neuromarketing techniques are becoming commercially available, they are valuable tools for better advertising, more effective storytelling, and ultimately, greater customer satisfaction. In 2021, Smidts and Boksem were honoured with the MOA Insights Scientist of the Year award for their neuromarketing contributions to practice.

To promote business applications while making further advances in neuromarketing research, RSM partnered with marketing consultancy firm Alpha.One in December 2016. Based in Amsterdam, Alpha.One serves as an intermediary between marketers and scientists, and has clients worldwide such as Facebook. The parties agreed to design research projects jointly and apply research techniques and findings to commercial products and services. Through Alpha.One, RSM research reaches many companies and can potentially influence the industry as a whole.

Alpha.One adopted the emotion classifier from the project on tracking emotions in real time to advise its clients. It also uses the gamma metric from the movie trailer project to test and optimise advertising stimuli. The application of this knowledge is not exclusive to Alpha.One, however. Because academic articles based on both projects are publicly available and the emotion classifier code itself is provided with open access, other neuromarketing companies or businesses can adopt these metrics and methods to advise their clients. In general, these new techniques extend the toolbox for marketers and help them make more effective decisions.

Applications with a public purpose include Kiva Microfunds mentioned earlier, and the Swedish Red Cross, another non-profit organisation collaborating with the Centre in research-to-design requests that can elicit more and larger donations.

The principle of having a public purpose is also evident in the Centre’s research that can help make consumers and regulatory bodies aware of how vulnerable certain groups of people – especially children, young adults and seniors – are to persuasive appeals. Armed with this awareness, both the public and government can better guard the interest of ordinary consumers.

Academics at the Centre are as keen to apply their knowledge in the real world as they are to teach future marketers – today’s students. Few marketers so far are trained in neuromarketing, so most marketers have trouble evaluating neuromarketing methods and results. Clients of neuromarketing companies can be impressed by colourful pictures of brain activations that may not be truly insightful or predictive. The RSM MSc elective in neuromarketing goes even further and gives marketing students hands-on opportunities to collect, analyse and evaluate brain data. In 2023, RSM introduced an MBA elective on neuroscience in business.

Neuromarketing research at RSM attracts wide public interest. When brain beats behavior: neuroforecasting crowdfunding outcomes (Genevsky, Yoon and Knutson, 2017), for example, was picked up by 10 news outlets and retweeted more than 100 times. Smidts, Boksem, and Genevsky all give regular speeches at public events such as the NMSBA Neuromarketing World Forum and Studium Generale lectures for the general public. They were interviewed at the Rotterdam Film Festival and on several radio and TV programmes, gave talks at university programmes for the elderly, and frequently helped high school students on their neuromarketing projects.

The mission of neuroscience to better understand consumer decision-making and behaviour is still in its infancy, and to apply neuromarketing on a large scale in the real world still has many obstacles to overcome. With more rigorous academic research and advanced data analysis, however, neuromarketing has made rapid progress in the past five years both in the laboratory and in companies. The Erasmus Centre for Neuroeconomics is a leader in the field, not only bridging research and practice, but also informing all societal stakeholders on the value as well as the risk of this new field of science.