Ep. 201 - The Future of SaaS Go-to-Market Is Signal-Based
Send us Fan Mail Guest: Jonathan Spier, Founder & CEO of GetRev -- Intent data changed B2B SaaS go-to-market, but the next evolution may be finding the signals that reveal demand before buyers ever raise their hands. In this episode of SaaS Backwards, we talk with Jonathan Spier, Founder and CEO of GetRev , about how AI and exographic signals are creating a more precise approach to identifying and prioritizing potential customers. Traditional intent data can still provide useful information about who is actively researching a solution. But as that data has become widely available, SaaS companies need additional ways to find opportunities and reach the right accounts earlier. Jonathan explains how AI can uncover patterns across public and semi-public data, from hiring activity and organizational changes to the ways companies operate. When those signals are compared against past wins, engagement, spend, and customer lifetime value, GTM teams can identify the characteristics that actually correlate with their best customers. The result is a more dynamic approach to ICP and account prioritization, built around what makes a company a strong fit rather than just its industry, size, or geography. Key takeaways: Why widely available intent data is becoming less of a competitive differentiator How signal-based go-to-market can identify potential buyers before active intent appears Why AI makes public and semi-public company data more actionable at scale How SaaS companies can build a more precise ICP based on their actual best customers Why the most valuable buying signals may be unique to your company and GTM motion --- Stalled pipeline? Lost deals? Diagnose your GTM gaps with a free, actionable checkup. 🔗 Get your free SaaS GTM Checkup






