Using customer analytics to encourage healthier eating and well-being-focused food options

Addressing the pressing need for healthier eating habits, this article examines the use of advanced customer analytics as a tool for promoting well-being-focused food options. Scope: Although data is primarily sourced from targeted customer segments within specific regions, the research aims to generalize insights that can apply across various health-oriented food markets. Methods: Employing sophisticated customer analytics, including predictive modeling and trend analysis, this study identifies key behavior patterns and customer segments most receptive to healthier options. Results: Findings reveal that analytics can pinpoint influential factors, such as dietary preferences and purchase motivators, providing actionable insights into consumer behavior. Conclusions: Integrating these analytics allows food businesses to make data-driven adjustments to product offerings, aligning with consumer demand for healthier options and potentially driving increased customer engagement. Originality: This paper uniquely applies customer analytics specifically to the promotion of well being and dietary health, highlighting novel methods for aligning business strategy with public health objectives. Practical Implications: The results underline how data driven insights not only serve to increase market competitiveness but also foster a shift toward healthier consumer choices, supporting both business growth and societal health benefits.