Product Prediction Model
Predicts which products are likely associated with a lead conversion, improving downstream opportunity size estimation.
Akash Sharma
Primary Owner
Overview
Multi-label XGBoost Classifier predicting product family association for leads and accounts using account size, industry, region, segment, and historical opportunity product data. Feeds downstream Opportunity Size Prediction (P15).
The problem
Many leads and early-stage opportunities lacked product association data, causing opportunity size estimates to rely on aggregate averages instead of product-level deal size variations.
Results
Improved opportunity size predictions by incorporating product-level deal size patterns for leads without explicit product data.
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.