Segmented 400K Customers Using 3.5 Years of POS Data
Data Science Team Manager, Industrial Business Group • Jan 2016 - Dec 2018
Customer SegmentationStatistical MethodsRData EngineeringSales Strategy
The Setup
Sales teams lacked a consistent way to understand and prioritize accounts based on behavior. Marketing and sales needed practical segmentation that field reps could apply without heavy interpretation.
Work Completed
Led development of customer segmentation by preparing multi-year POS data, applying statistical methods to cluster and label behaviors, and translating segments into field-friendly classifications. Partnered with sales leaders to ensure the output mapped to real-world selling motions.
Results
Delivered a segmentation and labeling approach covering 400,000+ customers that improved how reps classified accounts and supported more targeted outreach and planning.
Skills Exercised
Segmentation & LabelingBehavioral Analytics TranslationField-Ready Insight DesignAdvanced R Analytics