GTM System Diagnostics Framework

A systematic approach to finding and fixing GTM bottlenecks before adding automation complexity.

The Diagnostic Layers

GTM problems rarely have single causes. We diagnose across five interconnected layers to find root causes.

Is your CRM data accurate, complete, and current? Bad data propagates through every downstream system.

Do leads reach the right rep at the right time? Routing delays and misassignment kill conversion.

Are your scoring models predictive? Static models decay without feedback loops.

Marketing to sales, sales to CS—are handoffs reliable with complete context?

Can you trace outcomes back to inputs? Attribution gaps hide what's working.

Common symptoms and their typical root causes:

Root causes: Scoring model outdated, ICP mismatch, routing delays, incomplete handoff data, wrong leads reaching sales.

Root causes: Manual routing, routing rules too complex, no SLA enforcement, handoff failures.

Root causes: Data quality decay, enrichment gaps, no data validation, stale firmographics.

Root causes: No tracking infrastructure, campaign data gaps, multi-touch not modeled, CRM field inconsistencies.

Before fixing, measure. These KPIs establish a baseline and surface hidden problems.

Email bounce rate, field completeness, enrichment coverage, duplicate rate.

Average lead response time, assignment accuracy, routing exception rate.

MQL-to-SQL rate by score band, score distribution, model drift indicators.

Handoff completion rate, SLA adherence, context field completeness.

The most common mistake: adding automation on top of broken systems. Automation amplifies whatever's underneath—including problems.

Get an Infrastructure Audit to map bottlenecks and build a fix roadmap.