The Growth Operator with Fexingo · 2026-07-17 · 9 min
In episode 120 of The Growth Operator, Lucas and Luna dive into an emerging AI application in B2B sales: pipeline waterfall analysis. They break down how a mid-market SaaS company, Proseware, used a machine learning model to identify the exact stage where deals most often stalled - the technical validation phase - and recovered $2.3 million in potential revenue over two quarters. Lucas explains the difference between traditional static funnel metrics and a dynamic waterfall that tracks deal movement week over week, and Luna pushes back on whether AI can truly diagnose root causes versus just flagging symptoms. The episode also covers practical implementation tips, common pitfalls like data lag and overfitting, and a subtle donation pitch tied to the value of actionable insights. #AI #B2BSales #PipelineWaterfall #SalesAnalytics #Proseware #MachineLearning #DealStages #RevenueOperations #SalesFunnel #TechnicalValidation #DataDriven #SalesCoaching #Forecasting #Business #FexingoBusiness #BusinessPodcast #GrowthOperator #SalesOptimization Keep every episode free: buymeacoffee.com/fexingo
Other episodes covering the same guests and topics, from across The B2B Podcast Index.
How AI Is Personalizing B2B Sales Sequences That Actually Convert72 / 100
Why B2B Brands Are Using AI for Lead Scoring75 / 100Why B2B Brands Are Using AI for Account Prioritization84 / 100Why Pipeline Velocity Trumps Deal Size Every Time95 / 100How B2B Brands Use AI for Churn Prediction83 / 100
