Article
The Next Era of GTM: Why Data Architecture Is Now a Revenue Strategy
Best Practices: Optimizing GTM Data Architecture for Revenue
For years, companies treated data as something that supported go-to-market. Marketing generated it. Sales updated it. RevOps cleaned it up.
Now it determines whether go-to-market works at all.
According to Gartner, B2B buyers spend only 17% of their total buying journey meeting with potential suppliers, and that time is divided across multiple vendors. That means the majority of influence, research, and evaluation happens digitally and independently before sales is engaged.
At the same time, Forrester reports that the typical B2B buying group now includes 6 to 10 decision-makers, each consuming different information and interacting across different channels.
The implication is clear: GTM has become structurally more complex. And complexity without architectural discipline creates revenue drag.
The next era of go-to-market will not be won by louder campaigns or larger sales teams. It will be won by companies that treat data architecture as revenue strategy.
Fragmented GTM Stacks Multiply Risk
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Identity resolution explained: the foundation of trustworthy GTM data
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