Lead Scoring
Lead scoring is a numerical or grade-based ranking system applied to leads based on conversion-likelihood signals — combining firmographic fit (ICP match) and behavioral engagement (content consumption, page visits, form fills) — used to prioritize sales follow-up and route leads appropriately.
Why This Matters
Lead scoring is what separates productive B2B sales operations from those who treat every lead identically. A scoring model assigns points based on observable signals: ICP fit (industry match, size match, geography match), behavioral engagement (page visits, content downloads, demo views), and intent signals (pricing page visits, comparison content engagement). Top-scoring leads get fast-track senior closer routing; mid-scoring leads work through standard cadence; low-scoring leads route to nurture or get suppressed. Scoring lifts sales productivity 30-100% in well-implemented programs.
Frequently Asked Questions
Frequently Asked Questions
What inputs should a B2B lead scoring model include?
Demographic/firmographic: ICP match score, role match, geography match. Behavioral: page visits, time on site, content downloads, demo requests. Engagement: email opens/clicks, webinar attendance, social interactions. Negative scoring: competitor identifiers, free email domains (for paid product targets), out-of-geography signals.
How often should I retrain my lead scoring model?
Quarterly is standard. Track input-feature conversion correlations over rolling 90-day windows and recalibrate weights as patterns shift. Monthly retraining adds noise; annual retraining lets seasonal and market shifts degrade score accuracy.