The Waterfall Arbitrage: Why GTM Needs an Agentic Operating System
1. From Sales Reps to Data Architects
The article defines Clay not as a tool, but as "connective tissue." Stexion agrees. We see the modern RevOps function evolving into GTM Engineering. Instead of hiring 10 SDRs to manually Google prospects, we build a single Stexion Outreach Agent on top of Clay. This agent doesn't sleep. It navigates the "Waterfalls"—sequencing through 150+ data providers to find that one valid email address, achieving 95% accuracy where humans achieve 60%.
2. The Power of "Claygent"
The real magic is Claygent—the AI researcher. Stexion integrates this agentic capability to perform "Last-Mile Research." Before sending an email, our agents visit the prospect’s website, read their latest LinkedIn posts, and analyze their 10-K report. They look for "Triggers"—a new funding round, a hiring surge, or a tech stack change. This isn't mail merge; this is autonomous relevance.
3. The Waterfall Advantage
Why pay for bad data? The core of Stexion’s GTM architecture is the Enrichment Waterfall. If ZoomInfo fails, we auto-cascade to Apollo. If Apollo fails, we trigger a custom scraper. This "If-Then" logic ensures zero waste and maximum coverage. We engineer these waterfalls to be robust, creating a self-healing lead pipeline that feeds your CRM with gold, not garbage.
1. From Sales Reps to Data Architects
The article defines Clay not as a tool, but as "connective tissue." Stexion agrees. We see the modern RevOps function evolving into GTM Engineering. Instead of hiring 10 SDRs to manually Google prospects, we build a single Stexion Outreach Agent on top of Clay. This agent doesn't sleep. It navigates the "Waterfalls"—sequencing through 150+ data providers to find that one valid email address, achieving 95% accuracy where humans achieve 60%.
2. The Power of "Claygent"
The real magic is Claygent—the AI researcher. Stexion integrates this agentic capability to perform "Last-Mile Research." Before sending an email, our agents visit the prospect’s website, read their latest LinkedIn posts, and analyze their 10-K report. They look for "Triggers"—a new funding round, a hiring surge, or a tech stack change. This isn't mail merge; this is autonomous relevance.
3. The Waterfall Advantage
Why pay for bad data? The core of Stexion’s GTM architecture is the Enrichment Waterfall. If ZoomInfo fails, we auto-cascade to Apollo. If Apollo fails, we trigger a custom scraper. This "If-Then" logic ensures zero waste and maximum coverage. We engineer these waterfalls to be robust, creating a self-healing lead pipeline that feeds your CRM with gold, not garbage.
