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Individual teams measure success based on their own channel dashboards (email, web, service). All of these can show positive metrics, creating the illusion of success while the customer experiences a disjointed, frustrating journey across those same channels.
Most GTM systems track initial outreach and final outcomes but fail to quantify the critical journey in between. This "ginormous gray area" of engagement makes it impossible to understand which activities truly influence pipeline, leading to flawed, outcome-based decision-making instead of journey-based optimization.
Customers interact with a company as a single entity, but internally, separate departments like sales and support optimize for their own conflicting metrics. This creates a confusing and inefficient experience, a direct result of Conway's Law in action.
Misalignment stems from sales and marketing using different numbers and narratives. High-performing organizations treat GTM as a single, unified motion. They focus on seamlessly passing the customer from one stage to the next, prioritizing a collective win over defending individual functional metrics.
Structuring marketing teams in channel-specific silos forces them to optimize for internal structures rather than the fluid, non-linear path customers actually take. This creates a fragmented view of performance, leading to wasted effort and missed opportunities.
Viewing the customer journey—from initial call to final payment—as a relay race clarifies roles and responsibilities. Each team member must know precisely when to receive the "baton" (the customer) and who to hand it off to next. A stumble at any point slows the entire experience.
Brands should track leading indicators of system strain, not just outcome-based signals like conversion. Metrics like "message contradiction rate" or how often a customer must repeat information ("repeat contact rate") expose system fragmentation and predict future journey failure.
The old funnel model assumes a linear path, but customers interact across channels constantly. This model shows what happened (e.g., a click) but misses the underlying intent and what the customer actually needs in that moment, providing a flawed view of the journey.
When sales teams hit quotas but customer churn rises, the root cause is a disconnect between sales promises and operational reality. The fix requires aligning sales, marketing, and customer service around a single, unified strategy for the entire customer journey.
Average teams measure success in functional silos (sales vs. marketing), leading to finger-pointing. Elite teams remove functions from the equation. They focus entirely on the customer's journey, identifying patterns that lead to pipeline and fixing those that don't, regardless of which department "owns" them.
Executive dashboards often present a "watermelon" status: green on the surface due to vanity metrics like velocity, but red underneath when you examine actual business outcomes. This false sense of security hides deep-seated performance issues and punishes those who look deeper.