Why Lead Scoring Models Need Survival Analysis

What this episode covers

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

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Frequently Asked Questions

How long is this episode of Marketing Analytics with Fexingo: Data, Attribution, and Measuring Campaign Performance?

This episode is 9 minutes long.

When was this Marketing Analytics with Fexingo: Data, Attribution, and Measuring Campaign Performance episode published?

This episode was published on June 2, 2026.

What is this episode about?

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...

Can I download this Marketing Analytics with Fexingo: Data, Attribution, and Measuring Campaign Performance episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.