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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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 |
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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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).