Case Study: Kellogg's saves 270 research hours with Entropik Decode

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Preview of the Kellogg's Case Study

Kellogg's saves 270 hours of research time with Entropik

Kellogg's, an American multinational food manufacturing company, faced significant challenges in package design testing and shopper research. Their process was slow, taking 6-7 weeks to gather insights, and their physical mock stores were costly and failed to accurately predict real-world consumer behavior. To overcome these issues with speed, cost, and biased insights, they partnered with vendor Entropik.

Entropik implemented its Decode Shopper Insights platform, which utilized AI-powered Eye Tracking and Area of Interest analysis within virtual shelf simulations. This solution provided unbiased and richer data by measuring shopper attention and engagement in a simulated retail environment. The impact for Kellogg's was substantial: Entropik's technology automated the analysis, saving 270 man-hours per study and achieving a 6x faster time to insights, while also significantly reducing logistical costs by eliminating the need for physical mock stores.


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