Episode

How B2B Marketers Use Predictive Analytics to Forecast Account Churn

Podcast
B2B Marketing with Fexingo: Enterprise Demand Gen, ABM, and Long Sales Cycles
Published
Jul 11, 2026
Duration seconds
456
Processing state
not_requested
Canonical source
https://audio.fexingo.com/business/b2b-marketing/episode-0107.mp3
Audio
https://audio.fexingo.com/business/b2b-marketing/episode-0107.mp3
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Markdown
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Summary

In episode 107 of B2B Marketing with Fexingo, Lucas and Luna break down how predictive analytics can forecast account-level churn in enterprise SaaS. Using the example of a mid-market CRM company that built a churn risk score based on product usage, support ticket frequency, and contract renewal cadence, they explore how marketing teams can proactively intervene before a customer goes dark. The episode covers data sources, model training, trigger-based playbooks, and the GTM alignment required to act on predictions. A practical look at turning historical data into retention action. #PredictiveAnalytics #CustomerChurn #AccountChurn #B2BMarketing #EnterpriseSaaS #RetentionStrategy #ChurnPrediction #DataDrivenMarketing #GTMAlignment #CustomerSuccess #ProductUsageData #RenewalRate #TriggerBasedPlaybooks #MarketingOps #RevenueRetention #BusinessPodcast #FexingoBusiness #B2BMarketingPodcast Keep every episode free: buymeacoffee.com/fexingo