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Rockbridge specializes in segmentation research for consumer and business markets. Much of our work is with psychographic segmentation, with a track record for developing segments that are targetable and correlate with category usage. We also segment markets based on benefits, technology adoption, and objective demographic/firmographic variables.
Our preferred statistical approach is Latent Class Analysis, which produces mathematically precise and highly distinctive groupings, and is superior to traditional cluster analysis methods. We also support Principal Components Analysis and CHAID Analysis for some studies. All of our analyses and modeling are conducted in-house.
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