MQL vs SQL
An MQL (Marketing Qualified Lead) has shown interest through marketing engagement; an SQL (Sales Qualified Lead) has been vetted as ready for a direct sales conversation.
Last updated July 18, 2026
MQL vs. SQL, defined
MQL stands for Marketing Qualified Lead: a contact who has engaged enough with marketing activity — content downloads, webinar attendance, repeated site visits, email clicks — to be flagged as a plausible fit for the product. SQL stands for Sales Qualified Lead: a contact that has been actively vetted, usually by a sales rep, and confirmed to have real need, budget, and intent to buy within a reasonable timeframe. The distinction is about qualification depth, not lead quality alone — an MQL is a hypothesis based on behavior; an SQL is a conclusion based on direct qualification.
Between the two stages, a lead often passes through an intermediate check, sometimes called a Sales Accepted Lead (SAL), where a rep confirms the MQL is worth investigating before spending time on full qualification.
Where each stage fits in the funnel
MQL sits earlier in the funnel, right after top-of-funnel activity turns anonymous traffic into an identified contact. SQL sits later, immediately before a rep builds a formal opportunity or proposal. The gap between the two stages is where most CRMs apply lead scoring and routing rules: a lead crosses an engagement threshold to become an MQL, then gets assigned to a rep who determines through direct contact whether it becomes an SQL.
Example
A visitor who downloads a pricing guide and opens three follow-up emails might score high enough to become an MQL automatically. A rep then calls that contact, learns they're evaluating three vendors with a signed budget and a decision date next month, and reclassifies them as an SQL — at which point a deal record gets created in the pipeline.
Why the distinction matters
Treating every MQL as sales-ready wastes rep time on contacts that aren't close to buying, while treating every SQL as a marketing metric undercounts how much qualification work sales actually did. Separating the two stages lets a team measure conversion rate at each handoff — MQL-to-SQL rate shows whether marketing is sourcing the right kind of interest, and SQL-to-close rate shows whether sales is qualifying accurately. A CRM that tracks both stages as distinct fields on the contact record, rather than a single "qualified" checkbox, makes it possible to see exactly where leads stall and fix the right part of the funnel.