Teams blame conversion rates because those metrics are directly measurable and appear to be within the team's control, while buyer intent is invisible in most analytics platforms. Not all research activity equals purchase intent; curiosity, competitive research, and genuine buying readiness are distinct behaviors that surface-level clicks cannot differentiate.
Only a small percentage of research activity spikes reflect genuine buying readiness. True buying signals require multiple indicators across time: topic surges across multiple stakeholders, bottom-of-funnel research patterns (pricing pages, vendor comparisons), recency of engagement, and alignment with the ideal customer profile. Context matters more than the asset itself; a buyer downloading a solution comparison on an industry platform is evaluating, while someone reading a trend blog is expressing curiosity. Form fills are no longer a reliable proxy for interest, as senior buyers do not want to be chased after a single asset download. The shift required is from a reactive model (wait for a form fill, then chase) to a responsive model (observe behavioral signals, interpret intent, engage when patterns indicate readiness).