MQL (Marketing Qualified Lead)
An MQL is not an interested contact. It's a contact the marketing team believes, based on behavioral and fit data, is ready for an initial sales conversation.
“A marketing team that optimizes for MQL count, without watching how many become SQL, is optimizing for the wrong KPI with the same budget.”
Otto GTM ObservatoryThe vanity-metric risk
MQL was created to give marketing a way to demonstrate pipeline contribution. The risk is that it becomes a goal in itself: lowering the qualification threshold makes MQL volume explode without increasing revenue, pushing the quality problem downstream to the sales team.
A mature lead scoring program periodically reviews MQL criteria against the actual outcome of leads already passed to sales, closing the loop between marketing and revenue.
Anti-patterns
Common mistake: setting quarterly MQL volume targets without linking them to conversion rates toward SQL and opportunities, rewarding quantity at the expense of quality.
Second mistake: never aligning MQL criteria with the sales team, creating chronic friction where sales systematically discards leads that marketing considers qualified.
Practical Application
A company generates 2,100 leads in a quarter, of which 410 reach the lead-scoring threshold to become MQLs (19.5%). Of these 410, only 71 are later accepted as SQL by sales: a 17.3% MQL-to-SQL rate that, after revising scoring criteria with direct sales input, rises to 26% in the following quarter with the same lead volume generated.