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This study presents a comprehensive model of data-driven marketing tailored to the grocery sector, identifying 13 key components through a systematic literature review. Emphasising customer segmentation, personalisation, and predictive analytics, the model demonstrates how data can enhance sales and loyalty. The findings offer a strategic framework for retailers seeking to leverage data effectively in a competitive market.

Produktbeschreibung
This study presents a comprehensive model of data-driven marketing tailored to the grocery sector, identifying 13 key components through a systematic literature review. Emphasising customer segmentation, personalisation, and predictive analytics, the model demonstrates how data can enhance sales and loyalty. The findings offer a strategic framework for retailers seeking to leverage data effectively in a competitive market.
Autorenporträt
Milad Shemshaki graduated from the University of East London with a focus on Digital Marketing and Consumer Behaviour. His research explored how AI is shaping modern marketing strategies and enhancing customer engagement.