Consumers want it all. Great taste. The right price. Better-for-you choices. Ingredients they trust. The problem is that these expectations don't live in separate research studies when consumers make a choice at the shelf.

So how are insights and R&D teams determining which trade-offs matter and what will drive preference and purchase?

Using a masked innovation journey and three predictive cases, this session will show how connected consumer and sensory data can reveal which product changes will move scores, which investments are wasted, and how every study can strengthen a reusable product-intelligence system.

Details About the Webinar

Thursday, October 15, 2026 · 2:30 p.m. London (GMT +1:00)
Cost: Free
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About the Speakers

1788533117-dc80c5cb3432efcf Daniel Protz
Founder & CEO | FlavorWiki GPI

Daniel Protz is the Founder and CEO of FlavorWiki and Global Product Insights (GPI). He works with food and beverage companies to connect consumer, sensory and in-market data into faster product decisions. His focus is the practical use of software, machine learning and reusable data assets to reduce research friction without weakening rigor. Daniel brings the technology and operating-model perspective to the session.

1788533648-b6a628b14f3d1736 Marcia Young
Consumer Science & R&D Advisor | FlavorWiki GPI

Marcia Young is a consumer science and R&D leader with four decades of experience across Campbell's, Kraft and Mondelez. She has led through global innovation, renovation, cost reduction and research harmonization under tightening budgets and timelines. Her perspective is grounded in what R&D and consumer science teams can realistically adopt and scale. Marcia will bring the practitioner view of where predictive analytics creates value and where human judgment remains essential.

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