Advanced research methods add a layer to existing U&A insights by uncovering underlying consumer preferences, reactions, needs, or motivations. With AI-based algorithms built into the backend, consumer data goes beyond simple multi- or single-select questions to put context behind consumer decisions (i.e. a respondent may like several fast food restaurants - but which do they like more than others?).
Still not yet convinced? Access the report below for an example of how a MaxDiff (a type of advanced method) produces a much more actionable and telling takeaway for grocery brands than a descriptive rating or ranking scale question.
Download Your Report: The Importance of Advanced Methodologies
Better Brand Health Tracking: What's the 'Takeout' Soda Brand?