{"id":1957,"date":"2026-09-14T15:33:00","date_gmt":"2026-09-14T15:33:00","guid":{"rendered":"https:\/\/predictleads.com\/blog\/?p=1957"},"modified":"2026-09-11T12:27:45","modified_gmt":"2026-09-11T12:27:45","slug":"lead-scoring-model-company-growth-signals","status":"publish","type":"post","link":"https:\/\/predictleads.com\/blog\/lead-scoring-model-company-growth-signals\/","title":{"rendered":"How to Build a Lead Scoring Model Using Company Growth Signals (September 2026)"},"content":{"rendered":"\n\n
Most lead scoring models score the wrong thing. They award points for firmographic fit, which barely moves from one quarter to the next, so the top of the list in September looks exactly like the top of the list in March. A model built on company growth signals fixes that: it scores what actually changed at an account, namely hiring, funding, expansion, and technology evidence, each with its own timestamp and decay curve. This guide covers which signals to score, how to weight and age them, how to stack two signals inside one window, and the mistakes that quietly break the model after a few months.<\/p>\n\n\n\n
TLDR:<\/strong><\/p>\n\n\n\n
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A growth-signal lead scoring model scores dated changes at an account, not permanent attributes. Every point it awards can be traced to an event with a date and a source URL.<\/li>\n\n\n\n
Four signal families carry most of the weight: hiring (Job Openings), fresh capital (Financing Events), physical and headcount expansion (News Events), and technology evidence (Technology Detections).<\/li>\n\n\n\n
Recency beats volume. Because every record carries first_seen_at<\/code>, last_seen_at<\/code>, or effective_date<\/code>, decay can be computed from the data instead of guessed at.<\/li>\n\n\n\n
Signal stacking beats signal counting: two different signal families inside the same window is a stronger prioritization case than five instances of one family.<\/li>\n\n\n\n
PredictLeads tracks 279.2M+ Job Openings records and 1.5B+ Technology Detections since 2018, 210,800+ Financing Events since 2016, and 10M+ News Events since 2016 across 130.7M+ companies, so all four families resolve against the same domain in one API.<\/li>\n<\/ul>\n\n\n\n