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Consumer profile analysis for different types of meat in Spain
- Source :
- RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia, instname
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- [EN] It is important to analyse the consumer profile of each type of meat to better adapt the marketing mix to each one. To this end, we examined the average consumption frequency of different types of meat based on two methodologies: consumer segmentation using the food-related lifestyle (FRL) framework, giving rise to 4 segments, and analysis of socio-demographic profiles. The variables used were: sex, age, educational level, social class, number of people in the household, presence of children younger than 18 in the home, geographical area and habitual residence. Beef was the only meat type significant in both analyses. Turkey meat only appeared as significant in the FRL analysis. The other meats (chicken, pork, rabbit and lamb) were only significant in the sociodemographic variables analysis. From the outcomes we may conclude that there is no single consumer profile, which rather depends on the type of meat.
- Subjects :
- Adult
Male
0301 basic medicine
Turkeys
Meat
Swine
Consumption patterns
Social class
Food Preferences
03 medical and health sciences
Agricultural science
Sex Factors
Surveys and Questionnaires
Animals
Humans
Profile analysis
Food science
Fresh meat
Aged
Demography
Consumption (economics)
Sheep
Sociodemographic characteristics
030109 nutrition & dietetics
Age Factors
0402 animal and dairy science
food and beverages
COMERCIALIZACION E INVESTIGACION DE MERCADOS
04 agricultural and veterinary sciences
Consumer Behavior
Middle Aged
ECONOMIA, SOCIOLOGIA Y POLITICA AGRARIA
040201 dairy & animal science
Marketing mix
Food-related lifestyle (FRL)
Geography
Socioeconomic Factors
Spain
Health
Cattle
Female
Rabbits
Chickens
Food Science
Subjects
Details
- ISSN :
- 03091740
- Volume :
- 129
- Database :
- OpenAIRE
- Journal :
- Meat Science
- Accession number :
- edsair.doi.dedup.....37658ed71cb65f2c0c6e2e138969a39c
- Full Text :
- https://doi.org/10.1016/j.meatsci.2017.02.015