Episode Summary:

In this episode, Ben Reed sits down with Aviv Joseph Glazer, co-founder of Panda Match, to unpack the truth about B2B data sourcing, cold outbound, and what most people get wrong about building lists and scaling revenue. Aviv shares how Panda Match uses AI to extract company data straight from the internet—bypassing stale, user-generated platforms like LinkedIn and ZoomInfo. This one is packed with hard-earned lessons on product-market fit, agency life, and the evolution toward SaaS.

What You Will Learn:

How Panda Match uses proprietary AI to source fresh, accurate company data

Why traditional platforms like ZoomInfo and Apollo are becoming less effective.

The shift from lead gen agencies to SaaS—and how to know when it's time to pivot.

Key indicators of true product-market fit.

Why outbound isn't dead—most people are just doing it wrong.

Featured Guest: Aviv Joseph Glazer – Co-Founder of Panda Match

Host: Ben Reed, host of the Next Gen Sales Leaders Podcast

Episode Highlights:

[00:01:00] What Is Panda Match? Aviv explains how Panda Match scrapes live website data to build more accurate lists.

[00:10:00] The Intricacies of List Building: Ben explains how building B2B lead lists is not as simple as it may first appear and why.

[00:16:30] B2B Sales Motions Start With Lists: Ben describes that the first activity in any B2B sales-led go-to-market motion is B2B lead list building.

[00:25:00] Agency Struggles: Real talk on churn, client expectations, and why most cold email shops hit a wall.

[00:38:00] Building SaaS from the Trenches: Aviv’s journey from freelancer to SaaS founder and what he learned along the way.

[00:48:00] Product-Market Fit Myths: How to know when you have it—and why it can disappear overnight.

[01:07:00] Strategy Over Tactics: Why founders need to solve the right constraint before throwing money at outbound.

[01:50:00] Mindset + Mentorship: How judgment, mentors, and integrity shape long-term success in business.

Connect with Aviv:

LinkedIn: Aviv Joseph Glazer

Website: https://www.pandamatch.io

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