If you are reading Mastering Revenue Operations, you already know that the role of a RevOps leader has shifted dramatically over the past few years. You are no longer just the administrator of the CRM or the person who fixes a broken routing rule in your marketing automation platform. You are the architect of the revenue engine. You are responsible for aligning sales, marketing, and customer success to drive predictable, scalable growth.
But as go-to-market (GTM) motions become more complex and buyer journeys become more non-linear, the sheer volume of data generated across the customer lifecycle has become impossible to manage manually.
Enter Artificial Intelligence, the all-powerful AI.
AI is no longer a futuristic buzzword reserved for tech keynotes; it is a highly practical, revenue-generating toolkit. For RevOps leaders, AI represents the transition from descriptive analytics (what happened?) and diagnostic analytics (why did it happen?) to predictive analytics (what will happen?) …
