Scaling the Human Insight Advantage with AI Ethnographies: Breakfast Stories

Conveo & Danone

Generative AI in consumer insights has moved far beyond “AI moderation” and “qual at scale.” Those capabilities are now the bare minimum. The real shift is the ability to deliver rich, context-rich human insights at the speed of business. This session brings that to life through AI-led in-home ethnography. • Danone set out to build a deep behavioral understanding of breakfast and start-of-day moments across four European markets (France, the UK, Germany, and Spain) with 324 participants. Using their mobile cameras, participants showed their breakfast live during the interview and walked through everything they consumed, from water and coffee to an early snack, croissant, or yogurt. The study mapped behaviors, product choices, category interactions, preparation methods, and the social, emotional, and physical context of the moment, with a focus on Danone’s key categories: yogurt, plant-based beverages, and bottled water. • A follow-up qualitative MaxDiff study with 100 consumers in the same markets then revealed the trade-offs behind breakfast: the gap between ideal and reality, driven by time and availability, alongside household differences and perceptions of “healthy versus regular.” • The payoff: distinct consumer need-state segments, a clearer definition of what “healthy” actually means, and brand opportunities rooted in the gap between aspiration and behavior, informing activation, category adjacencies, package formats, and communication. • But we won’t stop at the highlights. We’ll share an honest account of what happened after the study concluded. The data was rich and the insights were real, and that is exactly where the hard work began: surfacing the right findings, in the right format, for the right stakeholders.