Lead Scoring

by mbfinotti2dedb3934ca7MITListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 weeks ago

Design, validate, and recalibrate a lead scoring model - fit and engagement signals, weighting, negative scoring and exclusions, decay, MQL/PQL threshold and tier setting, backtesting against closed-won/closed-lost outcomes, and governance; also diagnoses an existing broken model. Use whenever the user mentions lead scoring, an MQL threshold, fit vs engagement scoring, product-qualified leads, score decay, "score my leads", "our lead scores are wrong", "sales rejects our MQLs", or "too many junk MQLs" - even if they never say "scoring model". Covers B2B sales-led and B2C/PLG, rules-based design and predictive readiness. Do NOT use for assigning scored leads to reps - use mbfinotti/revops-skills@lead-routing instead.

  1. 2dedb3934ca7Currentcommit 2dedb39Published Oct 8, 2026

Source and attribution

Source:mbfinotti/revops-skillsinskills/lead-scoringat commit2dedb39

License: MIT

Content belongs to its original authors. SourceWeft indexes it from a public repository.

Report or request removal