Marketing Qualified Lead (MQL)
A lead that marketing has decided is engaged or fit enough to hand to sales.
A Marketing Qualified Lead (MQL) is a lead that the marketing team has decided is engaged enough or fit enough to be handed to sales. The classification is the output of a lead-scoring or lead-grading system that combines behavioral signals (page views, content downloads, email engagement, demo requests) with profile signals (job title, company size, industry).
The MQL is the handoff point in the classic B2B funnel between marketing and sales. Anything below MQL is marketing’s responsibility to nurture. Anything at or above MQL is sales’ responsibility to qualify and pursue.
How an MQL is defined
Most teams define MQL as a score threshold inside their CRM or marketing automation platform. A lead crossing 50, 75, or 100 points (depending on the model) becomes an MQL. The score itself is calculated from rules a marketing-ops team defines: “demo request = 25 points,” “pricing page view = 10 points,” “VP-level title at a target-industry company = 20 points,” and so on.
Some teams use a hybrid system: behavioral score (engagement) plus a fit grade (firmographic match). HubSpot’s Modern Lead Scoring tool, for example, ships separate Fit and Engagement scores that can be combined into an MQL definition.
Why MQL definitions usually break
Three common failure modes:
- The threshold gets stale. A score model calibrated against last year’s pipeline doesn’t predict this year’s wins. Teams that don’t recalibrate quarterly end up handing sales leads that look hot but don’t convert.
- Sales doesn’t trust the MQL flag. If reps can’t see why a lead crossed threshold, they ignore the flag and work their own pipeline. The fix is per-event audit trails: every score change should show what happened and why it added points.
- No decay. A lead that downloaded a whitepaper a year ago shouldn’t score the same as a lead that did it last week. Without decay, MQLs accumulate forever, and your “hot” list silently fills with cold leads.
MQL vs adjacent terms
- MQL → SAL → SQL. SAL (Sales Accepted Lead) is the moment sales agrees the MQL is worth pursuing. SQL (Sales Qualified Lead) is when sales has confirmed the lead has BANT (budget, authority, need, timing).
- MQL vs PQL. A PQL (Product Qualified Lead) comes from product-usage data (signups, activation events, feature usage), not marketing engagement. Companies running PLG often prioritize PQL signals over MQL signals.
Related at kenbun
kenbun ships rules-based MQL scoring with a per-event audit trail and per-event half-life decay, so the MQL flag stays meaningful as data ages. Sales can see exactly why a lead became an MQL and defend the score in a forecast meeting.