Applying a single attribution model, like last-touch, to all channels is a mistake. It undervalues top-of-funnel activities and can lead to budget cuts that starve the pipeline. Instead, measure each channel based on its intended outcome and funnel stage.

Most B2B companies have a massive blind spot in the poorly tracked period before an opportunity is created. This "black box" of pre-pipeline activity prevents leaders from diagnosing what is truly working, leading to flat growth and inefficient spending.

The company's overall win rate was low (6-7%) and decreasing. Analysis showed this decline mirrored a drop in marketing 'signals' (e.g., event attendance, content downloads) before an opportunity was created. This provided a clear data link between mid-funnel marketing activities and sales success.

Traditional funnels jump from a marketing signal (like an MQL) to an opportunity, creating a blind spot. They miss the 'Engagement' period of initial interaction and the 'Prospecting' phase of active sales pursuit. Ignoring these stages makes it impossible to diagnose performance issues or identify improvement levers.

While pipeline is important, the real signal of a successful AI-driven business is the depth of customer engagement. Are customers expanding beyond their initial use case? Are developers integrating your tool into core workflows? Are communities actively discussing you? These leading indicators show a stronger foundation than top-of-funnel metrics alone.

Profound market insights come from rigorously analyzing why potential customers fail to convert, not just studying happy ones. Tripling down to understand why a prospect "dropped out" of the sales journey provides a more complete picture of product gaps and value proposition weaknesses than focusing only on successful closes.

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.

Legacy GTM models relegate marketing to top-of-funnel activities. Data shows marketing’s continued engagement *after* a deal is created significantly impacts outcomes. Deals with active marketing signals during the sales cycle close faster and at a higher rate, proving marketing is a full-funnel powerhouse.

A traditional contact-based funnel (Lead > MQL > SQL) is inadequate for B2B. Shift to an account-based funnel that maps target accounts to stages like "Awareness" or "Engaged." The primary GTM goal then becomes progressing entire accounts from one stage to the next for a more accurate view of pipeline health.