AI-Driven Concept Testing & Refinement

From Open Ends to Product Success
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Start 20 Mar, 16:00 UTC
End 20 Mar, 16:30 UTC
Location Online

Speakers

Thomas Berthelsen
Head of Managed Services at Cambri

What's it about?

Struggling to Test and Refine Concepts at Scale?

Traditional concept refinement methods often fall short. Open-ended responses are time-consuming to analyze, difficult to synthesize, and often lack clarity. Many teams rely on word clouds, but these fail to capture true respondent intent—especially when conditions impact responses. Open-ended responses could tell a different story than KPIs, making it necessary to rely on past experience and heuristics so reach a coherent recommendation.

Others remove open-ended questions altogether, missing crucial insights.

Beyond analysis, another key challenge is understanding how specific concept elements will drive consumer engagement and in-market success. Without an anchored, data-driven approach, concept refinement becomes subjective—relying on stakeholder bias rather than actual performance data.

What you'll learn?

  • How AI and Natural Language Processing (NLP) extract actionable insights from open-ended responses.

  • Why leading companies like Coca-Cola, Nestlé, and Carlsberg use AI-driven concept testing and refinement.

  • See how AI-powered drivers predict the success of concept modifications and remove subjectivity from decision-making.

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