MQL (Marketing Qualified Lead)

Marketing Qualified Lead is the handoff designation that sits between "someone filled out a form" and "a rep should call this person." An MQL is a lead that marketing has scored above a threshold—using some combination of job title, company size, behavioral signals (page visits, content downloads, demo requests), and sometimes intent data—and routed to the SDR queue for follow-up. The designation is supposed to mean this prospect has enough fit and interest to be worth a rep's attention. Whether it actually means that depends on who set the threshold, when they set it, and whether they were under pressure to make the lead volume number look good.

How MQL Thresholds Are Set

Most MQL systems run on a point-based lead scoring model. A prospect earns points for attributes (VP title: 20 points, target industry: 15 points, company headcount over 500: 10 points) and behaviors (visited pricing page: 25 points, downloaded ROI calculator: 15 points, attended webinar: 10 points). When the cumulative score crosses a threshold—commonly somewhere between 50 and 100 points—the lead becomes an MQL and routes to the SDR queue. Some organizations skip scoring entirely and auto-MQL every inbound form submission or free-trial signup. That approach is not a scoring model; it is an inbox with extra steps.

The threshold number matters less than who set it and under what mandate. Marketing ops sets the threshold that makes MQL volume targets achievable. Sales ops sets the threshold that makes SDR conversion rates look defensible. These are frequently different numbers, and the negotiation between them is where pipeline quality is actually determined.

MQL-to-SQL Conversion: The Number That Reveals the Truth

The meaningful downstream metric is MQL-to-SQL conversion rate: the share of MQLs that sales accepts as genuine opportunities after initial outreach. A healthy rate sits between 20% and 40% depending on ICP tightness and SDR qualification rigor. Below 15%, either the MQL threshold is too loose, the ICP is undefined, or the SDR team is rubber-stamping everything. Above 50%, the threshold is probably too restrictive and marketing is leaving legitimate demand in the disqualified pile.

Who Tracks MQL and When

Marketing uses MQL volume as its primary contribution-to-pipeline KPI. RevOps tracks MQL-to-SQL conversion rate to evaluate marketing and sales alignment. SDR managers use it to project SDR capacity and queue depth. Finance uses it inside CAC models to understand the cost per opportunity created. Recruiters use MQL volume trends to argue headcount in board decks.

The version that matters most: MQL-to-Closed-Won rate, measured at the cohort level, 90 and 180 days out. It is the only number that connects marketing activity to revenue. Every other MQL metric is a proxy for this one.

Common MQL Gaming Patterns

Threshold compression is the primary exploit. When marketing misses its MQL volume target in Q2, the scoring threshold drops from 75 points to 50 points in Q3. MQL volume jumps 40%. The SDR queue floods with low-intent leads who visited one blog post. MQL-to-SQL conversion collapses. Both teams blame each other in the QBR. No one adjusts the threshold back.

The second pattern is definition drift. "Any inbound form fill" becomes an MQL. So does every conference badge scan, every free-trial signup from a personal Gmail, every webinar registrant who never attended. When MQL scope expands without a corresponding tightening of ICP criteria, the metric becomes a board-deck number that costs reps real time in their day.

The structural fix is joint ownership: marketing and sales define MQL criteria together, freeze the threshold for a minimum of one quarter, and hold marketing accountable to MQL-to-SQL and MQL-to-Closed-Won—not MQL volume in isolation. Pipeline Coverage Ratio and Win Rate are the downstream pressure tests that reveal whether MQL quality is holding. No-Decision Rate is often elevated when MQL quality is low—reps work deals that never had a real buyer.