
handle: 10362/183877
This study introduces a novel mission-based model for segmenting consumers in the online grocery market, leveraging extensive transaction data from a leading U.S. supermarket chain. Utilizing BERTopic modeling, we analyze shopping basket compositions to identify distinct consumer shopping missions. Our methodology uncovers fifteen unique missions, each reflecting specific consumer preferences and behaviors. These range from "Versatile Kitchen Staples" to "Health and Self-Care," highlighting diverse shopping strategies. The findings reveal dynamic shifts in consumer behavior during the COVID-19 pandemic and suggest targeted marketing strategies that can enhance customer engagement.
Market segmentation, Data analytics, Covid-19 Pandemic, Machine learning, Shopping missions, Online grocery shopping, BERTopic Modeling, SDG 12 - Responsible Consumption and Production, Consumer behavior
Market segmentation, Data analytics, Covid-19 Pandemic, Machine learning, Shopping missions, Online grocery shopping, BERTopic Modeling, SDG 12 - Responsible Consumption and Production, Consumer behavior
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