Ali Ikhwan
The traditional retail funnel, once a linear path from awareness to consideration to purchase, has been dismantled by a new generation of shoppers. Today, the "path to purchase" is less of a straight line and more of a complex, interconnected web of digital influence and physical action. As younger consumers—specifically Gen Z—redefine the landscape, brands are finding themselves forced to pivot from rigid, legacy marketing strategies toward a more fluid, "phygital" approach that blends online viral trends with the tactile reality of in-store shopping.
This paradigm shift was the centerpiece of a high-level discussion at the ADWEEK House during the Cannes Lions International Festival of Creativity. In a panel co-hosted by GroundTruth, industry luminaries—including ADWEEK CEO Will Lee, GroundTruth CEO Rosie O’Meara, and Horizon Media’s President of Commerce and Transformation, Katie Comerford—unpacked the mechanisms behind this behavioral evolution and the sophisticated AI tools required to keep pace.
The New Retail Reality: Where Virality Meets Physicality
The central tension in modern retail is the speed at which a product can ascend to "must-have" status. For a brand like SharkNinja, which launches hundreds of innovative kitchen products annually, the stakes are remarkably high. The goal is no longer just brand awareness; it is the physical occupation of limited "counter space" in a consumer’s home.
The Anatomy of a Viral Launch
When Horizon Media spearheaded the launch of a new slushy machine for SharkNinja, the agency faced a dual-audience challenge. The marketing strategy had to bridge the gap between two distinct demographics: millennials, who associate the product with the "frosé" culture of summer social gatherings, and Gen Z, a demographic that is statistically less inclined toward alcohol consumption.
"It was about to be summer, so we went after the frosé sentiment—you know, everybody loves frosé," explained Katie Comerford. "But what else could you do, knowing Gen Z are not huge drinkers, unlike millennials? We went in both routes to make sure we were personalizing, but driving that virality to win that limited counter space."
This strategy highlights the necessity for agility. Marketers can no longer rely on static campaigns. Instead, they must ride the wave of sudden popularity, using real-time behavioral signals to guide shoppers toward the product rather than dictating the journey. By leveraging retail inventory feeds, brands can ensure that when a consumer is prompted to buy by a viral trend, they are directed to a location where the product is actually in stock, preventing the "digital disappointment" that leads to brand abandonment.
The Resilience of the Physical Storefront
Despite the meteoric rise of social commerce platforms like TikTok Shop, the physical store is not only surviving; it is evolving into a vital component of the consumer experience. For Gen Z, the digital world serves as an inspiration engine, but the physical world serves as the validation layer.
The "Try-Before-You-Buy" Imperative
There is a distinct demand among younger cohorts to interact with products in person. Whether it is browsing through a beauty retailer or wandering the corridors of a mall, the physical environment provides a tactile reassurance that digital imagery cannot replicate. "I think there’s a demand to try products in-person and not just trust, ‘I’m gonna buy it online, and I’ll get it shipped to me,’" Comerford noted.
GroundTruth has built its business model on the premise that physical movement is the most honest indicator of consumer intent. "Where you go in the physical world, we have always believed, is who you really are as a consumer," said CEO Rosie O’Meara. The data confirms this: despite the digital-first reputation of younger generations, a majority of purchases—even among Gen Z—still culminate in a physical store.
The Intelligence Revolution: AI and Predictive Modeling
As the retail environment becomes more complex, the tools required to navigate it have become significantly more sophisticated. Following its recent acquisition by ZeroToOne.AI, GroundTruth has accelerated its deployment of an AI-driven predictive intelligence platform designed to parse the vast, chaotic signals of human behavior.
Moving Beyond CRM Limitations
Traditionally, marketers have relied on household-level CRM data, which often lacks the granularity needed for precision targeting. O’Meara explained that the current wave of AI allows companies to bridge this gap, converting vague household data into actionable, person-level insights.
"With 90% accuracy, we can understand what you are likely to do next, when you’re likely to do it, and also what you’re not likely to do next, which also eliminates waste," O’Meara noted. This predictive capability is a game-changer for marketing efficiency. By identifying not just the propensity to buy, but the propensity not to engage, brands can optimize their ad spend, focusing resources on high-intent windows while avoiding the friction of irrelevant targeting.
Navigating the Rise of Answer Engine Optimization
The rise of Generative AI and "Answer Engines" (such as ChatGPT, Perplexity, and AI-integrated search results) has introduced a new layer of complexity to search engine optimization. The days of simply ranking for keywords are being superseded by the need to influence the AI-generated summaries that consumers now rely on for product research.
The Reddit Factor
A significant portion of the data fueling these AI answer engines comes from community-driven platforms like Reddit, where consumer sentiment is often unfiltered and unpredictable. For brands, this presents a significant challenge: "With Reddit being a huge source of that information, there’s limited control over what the answer engines are going to pick up and say about your brand," Comerford observed.
This shift has forced a strategic pivot toward "Answer Engine Optimization" (AEO). Brands must now ensure that the information they provide is not only SEO-friendly but also authoritative and accurate enough to be synthesized into the direct answers provided by AI agents. This necessitates a proactive approach to managing brand reputation and consumer sentiment across community forums, as these platforms have become the primary "voice of the customer" for AI algorithms.
Implications for the Future of Retail
The implications of this convergence are profound. For brands and retailers, the road ahead requires three distinct pillars of focus:
- Agile Supply Chain Communication: Brands must integrate their inventory systems with their marketing platforms. If an influencer drives a surge in interest, the marketing copy must dynamically reflect real-time availability to capture the sale immediately.
- Omnichannel Harmony: The physical store must be marketed as an experience rather than a warehouse. Retailers that provide unique in-store experiences—product testing, community events, or personalized services—will win the battle for foot traffic.
- Predictive Privacy: As AI models grow more capable, the challenge will be to balance hyper-personalization with consumer privacy. Companies that can leverage predictive modeling while maintaining transparency will gain the trust of a generation that is increasingly conscious of data stewardship.
As Will Lee, CEO of ADWEEK, emphasized, the future of brands is being decided in the intersections of these technologies and behaviors. The winners will not be the brands that try to force consumers into a specific funnel, but those that can provide the right product, at the right time, in the right place—whether that place is a TikTok video, a search query, or a physical aisle in a local store.
In the final analysis, the "path to purchase" has not been destroyed; it has been democratized. The consumer is now the architect of their own journey, and for the modern marketer, the only way to keep pace is to meet them at every turn with intelligence, agility, and a deep respect for the physical reality of the retail experience.
Lina Hope
Reynand Wu
