SegmentIQ™

Segmentation

SRI’s segmentation platform focuses on delivering actionable, meaningful, and valid insights tailored to various business needs and data availability. This approach employs a range of techniques, from broad strategic segmentations to targeted, rules-based approaches, including clustering, latent class, and decision tree methods like CHAID. SRI excels in hybrid segmentation by combining survey data with prescription data to understand how attitudes impact behaviors. The process involves thorough exploratory data analysis, development of multiple segmentation solutions, collaborative client workshops for refinement, and detailed qualitative profiling across metrics to identify key behaviors, beliefs, and characteristics. Segmentation results are projected onto target universes, often supported by typing tools for practical implementation. Case studies demonstrate how SRI’s segmentation helps clients identify physician groups by prescribing behavior, satisfaction, and likelihood to switch, enabling targeted marketing strategies and improved client confidence in segmentation insights.