Map How Brands Really Compare
CFR Solutions converts similarity and preference judgments into visual perceptual maps, showing exactly how respondents see your brand positioned against competitors, and on which dimensions the gaps actually sit.
From Similarity Scores To A Map You Can Read
Respondents tell us how close or far apart brands, products, or concepts feel to them. We convert those similarity and preference judgments into a low-dimensional map, then work with you to label what each axis actually represents in plain business terms.
Mapping Matched To The Question You're Asking
From a first competitive snapshot to a full preference map, we scale the MDS approach to the decision behind it.
Perceptual Mapping & Brand Positioning
Visual maps showing how your brand sits relative to competitors on the dimensions that matter most.
Learn more →Similarity & Dissimilarity Data Collection
Structured pairwise or sorting tasks designed to capture how respondents judge closeness between items.
Learn more →Preference & Ideal Point Mapping
Overlays showing where the "ideal" product sits on the map, and which offerings sit closest to it.
Learn more →Correspondence Analysis
Category-level mapping that links attributes and brands together on the same visual plane.
Learn more →Dimension Labeling & Interpretation
Each axis translated from a statistical output into a dimension your teams can brief and act on.
Learn more →Competitive Landscape Visualization
A single view of where every competitor sits, so white space and crowded territory are both obvious.
Learn more →Explore Our Other Essential Services
Every technique is built on the same rigorous, quota-clean data — pick the analysis that matches the question your study needs to answer.
Brand Mapping
Perceptual maps showing how brands sit relative to each other on key attributes.
Learn more →CHAID Analysis
Decision-tree segmentation that splits respondents by the strongest predictors.
Learn more →Cluster Analysis
Groups respondents into natural segments based on shared attitudes or behavior.
Learn more →Conjoint Analysis
Measures the trade-offs respondents make between product features and price.
Learn more →Correlation Analysis
Measures how strongly two or more variables move together.
Learn more →Discriminant Analysis
Classifies respondents into known groups using their strongest predictors.
Learn more →Factor Analysis
Reduces a long list of variables down to the underlying factors driving them.
Learn more →Multidimensional Scaling
Visual maps of how respondents perceive similarity between items or brands.
Learn more →Regression Analysis
Quantifies how much each predictor moves the outcome you care about.
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