MQL status is typically based on a score combining firmographic attributes — company size, industry, role — with behavioral signals like page visits, content downloads, and pricing page clicks. Once a lead crosses a defined threshold, it is classified as an MQL and handed to sales for evaluation.
MQL status is not a verdict on purchase intent. It is a signal that enough information exists to make a qualified assessment. Whether that signal is reliable depends on whether the underlying data is current and whether the scoring threshold still reflects the ideal customer profile — or whether it was configured once and never revisited.
The most telling diagnostic for an MQL system is the handoff rate: what share of MQLs does sales actually accept and upgrade to SQL? A sustained gap — many leads flagged by marketing, few accepted by sales — is a direct signal that something upstream in the scoring definition needs attention. The gap is almost never caused by sales indifference. It is almost always caused by a data quality or threshold calibration problem.
The root cause is usually one of two things: firmographic data in the CRM has aged silently, so the company the lead was matched against no longer accurately describes the actual company. Or the scoring threshold was set when a different customer profile was the target and was never recalibrated after the product, market, or ideal customer shifted.