Marketing has always been a field of innovation and creativity. As brands strive to reach and engage their multifaceted target audiences, marketing professionals constantly search for new ways to capture attention and drive conversions. In recent years, consumer data insights and automated marketing technologies have emerged as powerful tools to reach and engage on a 1:1 level, but much of that personalization is only skin deep.

To unlock peak creativity–and therefore, peak results–marketers need to truly understand the mindset and motivations of their customers. That’s where Neuromarketing, or the practice of understanding and activating our primal motivators, comes into play.

Peak marketing creativity can be defined as the ability to leverage cutting-edge insights and technologies to create compelling, impactful campaigns that resonate with audiences and drive business results.

To remain competitive in a complex and rapidly evolving marketplace, the importance of aligning neuroscience, consumer data insights, and automated marketing technologies cannot be overstated.

The insights provided by neuroscience and consumer data enable marketers to develop targeted, relevant campaigns that connect with audiences on a deep level. Automated marketing technologies streamline campaign execution, allowing businesses to reach more consumers and achieve greater ROI.

The impending end of the cookie, and therefore, the third-party data market, has been a spectral presence in the minds of marketers for the past few years. And, while for many years third-party data was the only game in town, it was never a very good game. Vague and incomplete datasets continually robbed marketers of truly valid audiences and ultimately ROI.

This looming change has sparked a renaissance in the importance of first-party data, and how it can be collected and utilized. Legislation like GDPR in Europe, as well as CCPA, CPRA, and more coming in the U.S., has placed a premium on privacy and permission that will ensure a level of data integrity that wasn’t possible in the old cookie model. This new environment will likely impact the third-party data market as well, providing better learnings and richer targeting opportunities as audience identifiers evolve and mature.

In the near term, this places greater emphasis on brands’ need to ensure data collection, storage and usage are aligned with an evolving set of standards. However, when the use of that data is maximized with modern toolsets, and interpreted through the lens of neuroscience, these efforts will ultimately bear fruit in terms of greater marketing performance and positive ROI.

Atomic Design has historically been used as an assembly methodology for websites. (Design starts from the most elemental pieces (atoms) to the dynamic assembly of a whole webpage.) This same methodology can be applied to marketing with discrete design elements (headlines, copy, imagery) as the atoms that assemble to create whole advertising campaigns.

With the advent of AI and Machine Learning toolsets like those found in Omnicom’s OMNI platform, campaigns can be effortlessly assembled, trafficked and optimized for idealized performance across a multitude of audiences.

The era of art directors and copywriters constructing each ad as a monolithic piece of creative is increasingly becoming a romantic memory. The proliferation of data has shown that “one-size-fits-all” creative–based on observation rather than insight–is destined to underperform against its more modern counterparts. As the great David Ogilvy once said, “If it doesn’t sell, it isn’t creative.”

Not to say that creative is dead by any stretch. If anything, the role of the creative team, bolstered by a strong data informed strategy practice, is more important than ever. Data-driven insights drive big creative ideas. And big creative ideas are key for effective 1:1 campaigns.

To optimize the Atomic model, creative is developed as a platform that can span as many concepts and execution types as the target audiences demand. All of the individual elements, such as idea, imagery and storytelling, are still the domain and driving force behind the creative craft, but AI and ML driven toolsets–which assemble and personalize the final assets–allow for that craft to be demonstrably more impactful.

Atomic Design and neuroscience are powerful allies when used in tandem. Peak creative performance depends on it.
Neuromarketing is the application of neuroscience principles and techniques to marketing research and practice. It seeks to understand how the human brain responds to stimuli to create compelling and persuasive campaigns. Neuromarketing utilizes pains, claims and gains as a basic framework for triggering the subconscious reactions of the primal brain to create effective marketing messages, products and experiences.

When the power of Neuromarketing and Atomic Design are combined, we can create marketing experiences that have visual and psychological impact. By understanding how the brain processes information and leveraging Atomic Design principles, companies can design creative output that aligns with consumers’ cognitive preferences and optimizes for their response.

At the intersection of neuroscience, consumer data insights, and automated marketing technologies lies a powerful framework for businesses to create more innovative and effective marketing campaigns. By leveraging the insights and tools available through these areas, businesses can better understand their target audiences, create more engaging messaging, and execute campaigns with greater efficiency and effectiveness.

In our next discussion, we’ll deep dive into the proliferation of AI-and Atomic Design-enabling toolsets, as well as exploring how Neuromarketing techniques can be a marketing force multiplier for brands.