Your pipeline problem is not a demand problem. It is a data problem.
Most revenue teams treat their CRM as a system of record. They build campaigns, scoring models, routing rules, and forecasts on top of it. They assume the data inside reflects reality. It does not.
CRM data degrades at a rate of roughly 30% per year, according to MarketingProfs. Job titles shift. Companies merge. Contacts leave. Records go stale. Meanwhile, new signals emerge across channels that never reach the CRM at all.
This decay sits beneath the surface. It does not announce itself. It shows up as missed targets, low conversion rates, wasted spend, and frustrated sellers. By the time the symptoms are visible, the damage is already compounding.
This eBook identifies seven specific signs that your CRM data is undermining pipeline generation and deal velocity. Each sign maps to a structural failure in how GTM data is captured, maintained, connected, or activated. And each one points to a common root cause: your data layer was not designed for the speed and complexity your revenue engine now demands.
If even three of these signs look familiar, your GTM architecture needs attention.
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