eBook
How GTM Teams Can Future-Proof Their Data Architecture for 2026 – 2030
Overview
B2B go-to-market teams are entering a new era defined by AI-driven execution, buying group complexity, and real-time buyer signals. Yet most GTM data architectures still rely on fragmented systems, static enrichment, and lead-centric models that cannot support modern revenue operations.
How GTM Teams Can Future-Proof Their Data Architecture for 2026–2030 explores the structural shift reshaping B2B GTM and outlines the data architecture required to support identity resolution, buying group intelligence, AI-ready workflows, and real-time signal activation.
This eBook provides a practical roadmap for building a resilient, enterprise-grade GTM data foundation without disrupting your existing CRM, MAP, ABM, or analytics stack.
You Will Learn
Why traditional lead-based GTM systems break under buying group and AI complexity
The impact of poor data quality, identity drift, and enrichment latency on revenue performance
The core components of a modern GTM data architecture
How identity resolution, dynamic hierarchies, and signal normalization improve pipeline precision
A phased approach to modernizing your GTM data foundation
