Scaling B2B Sales with AI Systems
summary
Claims a working system that uses LLMs plus predictive ML to send AI-generated home cards and automated emails, ranking targets with propensity and uplift scoring (example: a 77% product propensity in demos) and feeding recommended cadences to sales. Builds a multi-channel retargeting engine that runs A/B tests across products and channels, finds broad personalization beats costly hyper-personalization, and reports significant sales lift achieved without adding headcount.
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chapters (8)
- 0:00Introduction
- 1:09AI in e-commerce vs B2B
- 3:17AI tool limitations
- 5:21Multi-channel AI sales
- 9:15Retargeting engine design
- 13:52Why AI sales works
- 17:04Q&A: Customer preferences
- 19:11Q&A: Propensity scores
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