La Gazzetta

The promise was simple: intent signals would revolutionize how we prioritize accounts and drive revenue. The reality? Most revenue teams are drowning in noise, chasing ghosts, and watching conversion rates flatline. It's time for a fundamental shift in how we think about account prioritization at scale, evolving from activity- to fit-based account prioritization.

From reactive processes to autonomous intelligence

Why the future of revenue operations lies in unifying your data ecosystem, and how AI agents are making it possible at scale

AI-powered account prioritization, driven by your ideal point of view.

A roadmap for revenue leaders in the age of intelligence.

Poggio receives high marks for ease of use, ease of set up, quality of support, and product direction, reinforcing Poggio’s leadership in AI-powered account intelligence for revenue teams.

As the pioneer and leader in AI-powered account intelligence, we have an inside view into the state of transformational AI’s use in Sales. That’s because every new user who creates a Poggio account also completes a survey that helps us understand where GTM teams are spending their time, statistics about their processes, and the state of their account intelligence prior to deploying Poggio.

Strategic sales AI implementation requires a fundamental shift from tactical automation to transformational intelligence. Organizations must move beyond viewing AI as a collection of tools to embracing it as a comprehensive capability that reshapes how revenue teams understand customers, predict behaviors, and optimize outcomes. 

Successful AI implementation requires strategies that mitigate potential technical, operational, and strategic risks. Many enterprise organizations are already creating centralized AI committees or councils to guide their organization to the AI-first enterprise. These AI councils are working to mitigate risk across several key areas.

Revenue leaders are confronted with having to debunk common misconceptions that have created confusion and misunderstanding about AI among their peers and teams. These are the most common myths and their realities to equip CROs for these conversations.