The Growth Operator with Fexingo · 2026-07-20 · 10 min
In this episode of The Growth Operator, Lucas and Luna dive into how B2B brands are leveraging AI for dynamic pricing - moving beyond static price lists to real-time, data-driven pricing strategies. They explore a case study from a mid-market SaaS company that used an AI pricing engine to optimize deal-level pricing based on competitor moves, customer willingness to pay, and contract value. The conversation covers implementation challenges, the importance of clean data, and the potential for repricing existing customers. Lucas shares specific numbers: a 12% increase in average deal size and an 8% improvement in close rates within the first quarter. They also discuss ethical considerations around price discrimination and how to maintain customer trust. If you're in revenue operations or sales leadership, this episode offers a practical look at a fast-growing AI application in B2B. #AI #DynamicPricing #B2BSales #RevenueOperations #PricingStrategy #SalesTech #ArtificialIntelligence #SaaS #PricingOptimization #SalesEnablement #Business #FexingoBusiness #BusinessPodcast #GoToMarket #GTMStrategy #DataDriven #PricingEngine #SalesLeadership 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 / 100How AI Is Automating B2B Contract Review and NegotiationHow AI Is Revolutionizing B2B Customer OnboardingHow B2B Brands Use AI to Predict Customer Lifetime ValueHow B2B Brands Use AI to Predict Deal Velocity
