0:00
/
0:00

Greg Perotto: Unique Solutions, The Customer Feedback Loop, & Intelligent Account Prioritization - Episode #17

"Without that context layer, you are part of the problem and you're part of the noise that people are really getting frustrated with."

How can deep customer understanding drive more effective B2B marketing strategies?

In this episode of Connect To Market, host Casey Cheshire welcomes Greg Perotto, VP of Global Marketing at Poggio to explore the power of deep customer understanding in shaping successful B2B go-to-market efforts. Greg emphasizes the critical need to move beyond surface-level personas and truly understand customer needs, priorities, and challenges to drive meaningful marketing and sales alignment.

He shares how AI technologies can be leveraged to continuously update and deliver relevant, real-time context about customers, helping teams create more personalized and impactful experiences. Greg also reflects on his own career journey, offering advice on mentorship, self-awareness, and finding purpose in your work.

In this episode, we cover:

  • How to move beyond static personas and gain real-time, contextual customer understanding

  • The role of AI in scaling personalized marketing and keeping insights fresh and actionable

  • Why product-market fit is a moving target and how to stay aligned with evolving customer needs

  • How to use customer context as a strategic advantage in sales conversations and GTM planning

If you’re a marketing leader looking to elevate your B2B strategy with sharper customer focus and smarter use of AI, Greg’s insights deliver both inspiration and practical guidance.

🔔 Don’t forget to subscribe and hit the notification bell so you never miss an episode of Connect To Market.

Connect with Greg:

Ways to Tune In:

  • Spotify:

  • Apple Podcasts:

Connect To Market is produced and sponsored by Ringmaster, on a mission to create connections through branded podcasts. Learn more at https://ringmaster.com/

Discussion about this video

User's avatar