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The AI-GTM Illusion: Activity Up, Impact Down
The 2025 ZoomInfo Go-To-Market Intelligence Report outlines why traditional GTM systems and AI adoption have failed to deliver meaningful impact. It highlights how disjointed tools, bad data, and rigid playbooks slow revenue teams, while top performers focus on real-time signals, adaptive workflows, and creative execution.
Lost Revenue from Bad Data: Poor data quality costs companies 15–25% of revenue, while many still operate with information spread across 23 separate vendor tools. Only 19% of companies consider their data “AI-ready.”
AI Adoption Without Impact: AI product usage has risen 893% since 2022, but average ROI remains low, under 10% cost savings and under 5% revenue lift. Without high-quality data, AI often scales inefficiency.
Performance Gains from GTM Intelligence: Companies using GTM Intelligence see 5x revenue growth, 89% higher profits, and are 2.5x more valuable. SAP, for example, cut buying cycles by two-thirds and doubled pipeline by integrating 40+ AI tools with signal-driven targeting.
Zomminfo’s own analysis shows greatly improved revenue growth, profit, and company valuation of companies that use real-time signals in GTM vs. others that don’t.
✈️ KEY TAKEAWAYS
The future of GTM requires shifting from rigid, volume-based playbooks to adaptive, intelligence-driven systems. High performers integrate real-time signals with creative execution, leveraging AI only when underpinned by clean, unified data.
ARR Milestones for Series A Keep Rising
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