Purchasing food becomes omnichannel: understanding food shopper segments and lifestyles

Descripción del Articulo

Global consumption trends and technological disruption is creating the path towards an omnichannel approach in food B2C selling. Food companies have seen an unprecedented evolution in this context, that is challenging their marketing strategies. This thesis tackles this problem by developing a segme...

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Detalles Bibliográficos
Autor: Gamero Jorge, Christian Anthony
Formato: tesis de maestría
Fecha de Publicación:2020
Institución:Universidad ESAN
Repositorio:ESAN-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.esan.edu.pe:20.500.12640/3036
Enlace del recurso:https://hdl.handle.net/20.500.12640/3036
Nivel de acceso:acceso abierto
Materia:Industria alimentaria
Alimentos
Comercio electrónico
Segmentación del mercado
Comportamiento del consumidor
Estrategias de mercadeo
https://purl.org/pe-repo/ocde/ford#5.02.04
Descripción
Sumario:Global consumption trends and technological disruption is creating the path towards an omnichannel approach in food B2C selling. Food companies have seen an unprecedented evolution in this context, that is challenging their marketing strategies. This thesis tackles this problem by developing a segmentation study in France, employing Latent Class Analysis, based on the use of multiple touchpoints across the food purchase process, aiming to identify customer profiles, channel allocation, and psychographic characteristics related to food consumption. Three segments were identified: Early Omnichannel Adopters, Curious Conservatives, and Uninterested Traditional shoppers. The findings reveal key differences in their adoption of online and mobile touchpoints across the purchase stages, in their expertise purchasing food online, and the impact of the COVID-19 pandemic in channel allocation. A Multinomial logistic regression was then performed to determine psychodemographic differences between the segments and allowing to characterize their food-related lifestyles. The insights developed in this research confirms the utility of LCA analysis to segment customers considering different food purchase phases and multiple touchpoints, using the most recent programming language software, and integrating specific covariates relevant to food shoppers. Food marketers can find valuable to implement a similar approach to reinvent strategies.
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