The modern market requires high adaptability from manufacturers and retailers. Competition in the chocolate category is growing, and success on the shelf largely depends on an accurate understanding of consumer demand and the effective use of data analytics.
In his speech, Vladimir Vasyutkin presented key findings on the use of big data in trade marketing. Using the latest GRADUS research as an example, he showed how accurate sales analysis based on OFD data and field research helps brands build a merchandising strategy, increase SKU representation and improve consumer loyalty.
He also talked about how data analytics helps ensure that ideal store standards are met, determine key price thresholds and optimize product offerings. As Vladimir Vasyutkin noted: "Sales data are not just numbers, but a tool for building effective strategies. Understanding which products are bought more often, on which days and at what price, we can significantly increase the effectiveness of trade marketing activities and provide the brand with a stronger position on the shelf." Using accurate data helps trade marketers find a balance between price, quality and demand, which is especially important in the chocolate segment.