Why Lead Scoring Models Need Survival Analysis

Episode 27 of Marketing Analytics with Fexingo. Lucas and Luna dive into survival analysis — a technique borrowed from medical research — and why it outperforms traditional lead scoring for B2B sales cycles. They break down a real example: a SaaS company that used Kaplan-Meier curves to discover that leads who attended a demo within 7 days had a 34% higher conversion probability than those who waited longer. The hosts explain how hazard functions and censored data reveal which marketing touches actually accelerate deals, and why most CRM-based lead scoring models miss the timing dimension entirely. #SurvivalAnalysis #LeadScoring #B2BMarketing #KaplanMeier #HazardFunction #CensoredData #MarketingAnalytics #ConversionRate #SaaS #CRM #MarketingMeasurement #Attribution #DataScience #FexingoBusiness #BusinessPodcast #Marketing #Analytics #LeadConversion Keep every episode free: buymeacoffee.com/fexingo