How B2B Brands Use AI for Revenue Forecasting cover art

How B2B Brands Use AI for Revenue Forecasting

How B2B Brands Use AI for Revenue Forecasting

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Lucas and Luna dive into the messy reality of B2B revenue forecasting and how AI is starting to change it. Lucas walks through a specific case: a mid-market SaaS company that replaced their spreadsheet-based rolling forecast with a machine learning model trained on CRM, billing, and product usage data. The result? Forecast error dropped from 18 percent to 6 percent within two quarters. But Lucas also flags the pitfalls — garbage-in garbage-out when historical data includes COVID-era anomalies, and the risk of treating the model as a black box. Luna pushes back on whether AI forecasts actually change rep behavior or just give management prettier charts. They also discuss the crucial distinction between predicting when a deal closes versus whether it closes, and why leading indicators like pipeline coverage ratios still matter. Anchored to current market conditions as of July 2026, the conversation touches on how the current macro environment — with extended sales cycles and budget scrutiny — makes forecast accuracy more valuable than ever. No hype, just honest trade-offs. #AI #RevenueForecasting #B2BSales #SalesOps #RevOps #MachineLearning #ForecastAccuracy #SaaS #SalesManagement #PredictiveAnalytics #CRMAnalytics #Business #FexingoBusiness #BusinessPodcast #TheGrowthOperator #LucasAndLuna #SalesTech #DataDrivenSales Keep every episode free: buymeacoffee.com/fexingo
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