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.
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npx skills add https://github.com/mbfinotti/revops-skills/tree/2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca/skills/lead-scoringSource and attribution
Source:mbfinotti/revops-skillsinskills/lead-scoringat commit2dedb39
License: MIT
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