The Growth Operator with Fexingo · 2026-07-13 · 10 min
Most B2B sales forecasts are wrong by at least 20 percent. In this episode, Lucas and Luna dig into one specific approach that's changing that: using machine learning to model pipeline velocity at the individual deal level. They walk through a real case where a mid-market SaaS company cut forecast error from 28 percent to 6 percent over three quarters. They talk about why traditional weighted pipeline models fail, how leading indicators like meeting recency and CRM update frequency predict close rates better than rep intuition, and why the biggest obstacle isn't the algorithm - it's getting sales teams to trust a number they didn't produce themselves. Specific, grounded, no hype. #AI #SalesForecasting #B2B #RevenueOperations #MachineLearning #SalesTech #PipelineVelocity #CRM #ForecastAccuracy #SalesProcess #DataDrivenSales #RevOps #Business #FexingoBusiness #BusinessPodcast #TheGrowthOperator #Marketing #Sales Keep every episode free: buymeacoffee.com/fexingo
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