Marketing

Scale (ratio)

Statistics

Social psychology

Cartography

Tourism

Food products

Archaeology

Operating system

Telecommunications

Core (optical fiber)

Computer science

Food culture

Food science

Business

Segmentation

Psychology

Mathematics

Geography

Value (mathematics)

Artificial intelligence

Chemistry

Market segmentation

Latent class model

Profiling (computer programming)

Food Quality and Preference

Segmentation is crucial for targeting product development initiatives and marketing communication nationally as well as internationally. In this paper we use the Food Related Lifestyle instrument that has been applied in the food arena for many years as a ‘stepping stone’ to develop a contemporary, targeted and smaller version of the Food Related Lifestyle instrument, still following the original theoretical framework. In particular we focus on three dimensions that have proven to be of core value in segmentation: food involvement; food innovativeness; and, food responsibility. Based on data collection in six countries (DK, AU, HU, UK, USA and NZ) across two rounds from 2017 to 2019 (total N = 3396), we propose a new core instrument consisting of 15 items that have been tested for cross-cultural validity. Next, we used these three dimensions for segmentation across the six countries by applying multi-level latent class analysis. A solution leading to five different segments could be identified; the foodies, the moderates, the adventurous, the uninvolved and the conservatives. The segments were profiled by means of Schwartz’s ten value domains and measures of self-reported food-related behaviour to check for nomonological validity. We conclude that the 15 items were cross-culturally valid, could be used for segmentation across six countries, and that segment profiling by means of Schwartz values and behavioural items were in line with the theoretical background.

Core dimensions of food-related lifestyle: A new instrument for measuring food involvement, innovativeness and responsibility