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May 20, 2025
AI and behavioral science are reshaping how we understand consumer decisions—making insights more predictive, precise, and powerful at the moment of purchase.
In our always-on world of choice and change, the science behind what drives decisions is more important than ever. The key focus in this space is on the moment of purchase – what happens in those critical few seconds when the shopper becomes a buyer.
The real story sits deeper. It’s behavioral science: the systematic study of how humans act in context and why. With AI stepping in as a capable partner, our understanding of consumer behavior is no longer just observational – it’s predictive, dynamic, and increasingly precise.
Behavioral science has long underscored the importance of visibility – what gets seen first shapes what gets chosen. If something isn’t seen, it can’t be bought. What’s changed is the ability to measure and act on that principle with unprecedented accuracy.
With AI, it is now possible to analyze how packaging performs visually in milliseconds. Is it seen from six feet or three feet? What about one foot? Does it break through the clutter of SKUs on a shelf, in-store, or online? These aren’t subjective judgments anymore. They’re measurable, repeatable insights. AI has become our industry’s microscope – scanning hundreds of thousands of design elements across categories and geographies to find what works, and more importantly, why it works.
Being seen isn’t just a nice-to-have. Data has shown that SKUs that are seen most frequently are 2.5x more likely to be purchased. That’s not just theory anymore – it’s fact.
Visibility gets attention. Shoppability keeps it. This is where behavioral frameworks come into play – consistent mental models that help decode the path to purchase. Applied across categories, these frameworks help ensure sharper precision, guiding design and research with scalable, repeatable impact.
Through AI-powered research, it’s now possible to evaluate how easily consumers can differentiate variants and find what they need in seconds. A bottle might look bold, but if your grapefruit tequila or jalapeño tequila are indistinguishable on shelf, you’re risking a lost sale or worse, a returned product.
And furthermore: it’s about clarity. Large product ranges don’t inherently cause confusion – unclear labeling, lack of visual hierarchy, and poor architecture do. AI tools can simulate the shopper’s journey, see where confusion occurs, and course-correct in real time.
Emotions matter. Behavioral science shows that purchases often begin in the gut and are justified with the brain – especially in everyday categories. AI makes it possible to quantify those gut reactions.
It’s not about throwing everything on a package. It’s about choosing the right three to four elements that capture attention and communicate purpose. Whether it’s the embossed gold of a premium chocolate bar or the crisp, refreshing cues on a soda can, the best packs seduce without overwhelming.
AI tools paired with behavioral frameworks can now test hundreds of designs and pinpoint with precision which elements evoke trust, excitement, indulgence, or curiosity depending on what your brand wants to exude. In comparable testing scenarios, the top-selling products consistently score 5–15% higher in emotional resonance. Coincidence? No chance.
All of this culminates in that final “yes.” Selection is the moment where sight, shoppability, and seduction merge for better brand business outcomes.
AI’s role here is subtle but powerful. It helps identify emotional gaps between what a pack promises and what consumers truly value. Sometimes, what a category overcommunicates (like tradition or quality) may not be what drives purchases (like personal relevance or taste). Regression models reveal where design and message misalign and where opportunity lies.
And more importantly, AI doesn’t replace human intuition – it sharpens it. It makes sure hunches are backed by data and creativity lands with precision.
The power of behavioral science lies in its humanity. AI doesn’t change that – it just enhances it. The shopper is still at the center. The tools are just smarter.
From alcohol to soft drinks, chocolate to health and well-being, beauty and prestige brands, consumer technology, and even private label brands, the principles remain the same: capturing attention, simplifying decision-making, creating emotional impact, and ultimately influencing purchase. AI just helps insights professionals now do that faster, with greater confidence, and at scale.
And that’s the future of our industry. Not just collecting data but turning it into something predictive. Something behavioral. Something better.
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The views, opinions, data, and methodologies expressed above are those of the contributor(s) and do not necessarily reflect or represent the official policies, positions, or beliefs of Greenbook.
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