Consumer Psychology: Digital Footprints & Behavioral Sciences

Consumer Psychology: Digital Footprints & Behavioral Sciences

We explore Sandra Matz 's visionary perspective on Psychological Targeting, revealing the convergence of consumer behavior and digital footprints. From her perspective, consumer psychology involves the intriguing convergence of consumer behaviors and the digital footprints left by their online activities. Matz argues that these digital traces, from social media posts to browsing and purchasing patterns, offer a wealth of data that can be analyzed to gain deep insights into consumers' preferences, motivations, and needs. By applying principles from behavioral science, it's possible to transform these insights into predictive models that not only anticipate future consumer actions but also enhance the personalization of products and services, making client interactions more relevant and effective. Matz also emphasizes the critical importance of approaching these practices ethically, ensuring privacy is respected and data is used transparently and justly to benefit consumers.

However, Matz underscores the essential need to practice "Psychological Targeting" responsibly. Transparency and consumer consent are paramount, as is ensuring data is used in ways that respect privacy and promote well-being. When used correctly and responsibly, Psychological Targeting can positively transform the relationship between businesses and consumers, creating mutual value and more satisfying experiences.

One negative example of "Psychological Targeting" is evident in the 2016 U.S. elections scenario involving Cambridge Analytica. The company used advanced techniques to gather data from millions of Facebook user profiles without explicit consent. They then performed detailed personality and behavior analyses to create highly personalized and emotionally manipulative political ads, targeting specific audiences based on their psychological characteristics. The resulting scandal raised serious concerns about privacy, psychological manipulation, and the integrity of democratic processes.

This example highlights the ethical and social risks of irresponsible use of psychological targeting. Manipulating psychological data without consent and exploiting individuals' emotional vulnerabilities for political or commercial gain can severely damage public trust and social cohesion. To prevent such abuses, it is crucial to establish stringent regulations and ethical practices that ensure transparency, informed consent, and the responsible use of psychological data. As Matz points out, a concern is that data is eternal, but leadership is not; decisions made today based on ethical principles might be different in the future.

Of course, the diverse perspectives and challenges presented by each of the executives, all highly specialized in the market with varied backgrounds and cultural formations, made the discussions truly mind-blowing, elevating our understanding and leading to high-level debates.

Finally, we discussed the importance of context and how perspectives can change. In a previously revealed study, responses showed interesting differences in the acceptance of predictive technologies between executives and the general population, depending on the context in which these technologies were used.

For the first question, "Should the financial services industry use predictive technologies to assess the likelihood of you defaulting on your loan?", the results were:

  • Executives in Columbia's programs: 26% said "No" and 74% said "Yes.
  • General population: 63% said "No" and 37% said "Yes."

For the second question, "Should the financial services industry use predictive technologies to pair you with account managers and advisors more effectively?", the results were:

  • Executives in Columbia's programs: 15% said "No" and 85% said "Yes."
  • General population: 41% said "No" and 59% said "Yes."

These results demonstrate that the acceptance of predictive technologies varies significantly with context—specific contexts influence people's willingness to accept or reject these technologies, with executives generally being more favorable towards their use compared to the general population.

#ColumbiaBusinessSchool #FinancialServices #BigData #AI #DigitalFootprints #BehavioralScience #EthicsInTech

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