Marketing passes 500 MQLs per month to sales but AEs only accept 40 as real opportunities because marketing scores leads on content downloads and webinar attendance, not actual buying intent

Marketing teams define MQLs using behavioral scoring: downloaded a whitepaper (+10 points), attended a webinar (+15 points), visited the pricing page (+20 points). When a lead crosses a threshold, it gets routed to an AE. So what? A junior analyst at a non-target company who downloaded three PDFs for a school project scores higher than a VP of Engineering at a Fortune 500 who visited the site once and left. So what? AEs learn through painful experience that most MQLs are not real buyers, so they stop following up promptly — or at all — letting genuinely interested prospects go cold alongside the noise. So what? Marketing sees declining MQL-to-opportunity conversion and responds by lowering the scoring threshold to inflate MQL volume, making the signal-to-noise ratio even worse. So what? The sales-marketing relationship degrades into mutual blame: marketing says 'we gave you 500 leads and you ignored them,' sales says 'your leads are garbage.' So what? The company cannot diagnose whether pipeline problems stem from insufficient demand generation, poor targeting, or inadequate sales follow-up, because the shared metric (MQLs) is fundamentally disconnected from actual purchase intent. The problem persists structurally because marketing is measured on MQL volume (which they can control via scoring thresholds) while sales is measured on closed revenue (which requires actual buyers). No one owns the intermediate step of validating whether a lead has real intent, budget, and authority. The tooling (HubSpot, Marketo, Pardot) makes it trivially easy to build scoring models based on engagement but extremely hard to incorporate firmographic fit, timing signals, or buying committee composition.