Customer Segmentation Clustering
Unsupervised clustering model grouping accounts by firmographic and behavioral attributes for GTM targeting.
Akash Sharma
Primary Owner
Overview
Clustering model grouping accounts and leads by firmographic attributes (industry, company size, region) and behavioral signals (engagement patterns, funnel stage activity). Segments used for GTM targeting and conversion rate analysis by cohort.
The problem
Marketing and sales teams needed customer segments for targeted outreach and conversion rate analysis, without manually defining segment rules.
Results
Identified natural account groupings enabling targeted marketing campaigns and segment-level conversion analysis.
Related Propensity & Scoring Projects
Account Propensity Model
Dual propensity scoring system assigning Base Fit (long-term ICP fit) and 3-Month (short-term conversion likelihood) scores to every account.
Lead Propensity Model
Scores each lead's conversion likelihood across four quarter horizons (CQ/NQ/NQ+1/NQ+2) using engagement patterns and journey sequences.
Opportunity Propensity Model
Predicts each opportunity's close likelihood per quarter, replacing static CRM probability fields with dynamically scored multi-quarter estimates.