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Related Experiment Video

Updated: Dec 30, 2025

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

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Published on: June 21, 2019

Online Healthy Food Experiments: Capturing Complexity by Using Choice-Based Conjoint Analysis.

Valdimar Sigurdsson¹, R G Vishnu Menon¹, Asle Fagerstrøm²

¹1Reykjavik University, Menntavegur 1, Nautholsvik, 101, Reykjavik, Iceland.

The Behavior Analyst

|January 25, 2020

Summary

This summary is machine-generated.

Choice-based conjoint analysis offers a powerful method for understanding consumer behavior in online food retail. This approach aids in analyzing complex choices and promoting healthier eating habits through data-driven insights.

Keywords:

Choice-based conjoint analysis Health Obesogenic environment Online food selection

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Published on: January 25, 2018

Area of Science:

Consumer behavior analysis
Marketing science
Behavioral economics

Background:

Complex environmental factors significantly influence consumer choices and preferences.
Online food selections are rapidly expanding, necessitating advanced analytical methods.
Understanding consumer decision-making in e-commerce is crucial for targeted marketing and behavior modification.

Purpose of the Study:

To explore the application of choice-based conjoint analysis in understanding consumer behavior within the online food retail sector.
To demonstrate how conjoint analysis can examine interrelationships between multiple variables in socially relevant choice settings.
To highlight the potential of conjoint analysis for promoting desired consumer behaviors, such as healthier food choices.

Main Methods:

Utilizing choice-based conjoint analysis to model consumer preferences and trade-offs.
Applying trade-off analyses specifically to online food retail scenarios, focusing on healthy food items.
Leveraging pilot research to illustrate the practical implementation of conjoint analysis.

Main Results:

Conjoint analysis effectively measures the impact of marketing attributes on consumer choice.
The method is applicable to complex behaviors not easily studied through direct experimentation.
It serves as a valuable initial step for more in-depth analyses, including biometrics and web analytics.

Conclusions:

Choice-based conjoint analysis enables personalized, data-driven economic analysis of consumer behavior.
This methodology provides insights into consumer decision-making processes in online environments.
It supports the development of strategies to influence consumer choices, particularly towards healthier options.