Generative AI for Revenue Optimization and Growth Strategy

About this course

Generative AI is already reshaping how companies grow—not just how they save time. Consider this: McKinsey estimates generative AI could add $2.6T–$4.4T in annual value across use cases. And that value shows up right where revenue is made: marketing, sales, pricing, and customer operations.Here’s the problem: most teams are still stuck using AI as a “content toy” or a productivity hack—while revenue leaks through slow sales cycles, generic campaigns, manual RevOps work, and pricing decisions driven by yesterday’s spreadsheets. Meanwhile, Salesforce research found sales reps spend less than 30% of their time actually selling—because admin and CRM busywork eats the rest.That’s exactly what this course fixes. You’ll learn how to use generative AI as a revenue engine—to personalize customer engagement, equip sales teams with copilots, improve forecasting and pricing decisions, and streamline the workflows that quietly slow down revenue.You’ll learn how to:Spot high-ROI GenAI use cases across marketing, sales, pricing, and customer opsPersonalize campaigns at scale (without losing brand voice or control)Use GenAI to draft, summarize, and accelerate CRM workflows so reps spend more time sellingApply AI to pricing and forecasting through scenario planning and smarter bundling ideasReduce friction in RevOps workflows (quotes, contracts, invoicing, renewals) to shorten cycle timeBuild an AI roadmap that avoids “pilot purgatory” and scales what worksSet metrics and experiments (A/B tests, holdouts) to prove real liftPut guardrails in place (privacy, bias checks, human review) so adoption sticksAnd this isn’t just theory. Research has shown measurable productivity gains when GenAI is embedded into real workflows—for example, a large-scale field study in customer sup