What is the Difference Between an MQL and an SQL?
MQL and SQL stand for Marketing Qualified Lead and Sales Qualified Lead. They are two stages in the journey from “person who showed some interest” to “active sales opportunity,” and the distinction between them is one of the most important handoff points in any sales and marketing process.
A Marketing Qualified Lead (MQL) is a contact who has shown enough interest that marketing considers them worth nurturing further. The specific threshold varies by business, but common signals include downloading a guide, attending a webinar, visiting the pricing page multiple times, or reaching a certain lead score. An MQL is not necessarily ready to buy - they have simply demonstrated enough engagement to be worth staying in contact with.
A Sales Qualified Lead (SQL) is a lead that has been assessed (usually by a salesperson or a dedicated sales development role) and confirmed as ready for a direct sales conversation. The assessment typically covers the basics of fit and readiness: Does this person have a real problem you can solve? Do they have a plausible budget? Are they in a position to make or influence the buying decision? Can they act within a reasonable timeframe?
Why the distinction matters
Without a clear MQL and SQL definition, marketing and sales tend to argue about lead quality. Marketing says they are sending good leads; sales says the leads are not ready. The MQL/SQL framework creates a shared definition that both sides agree on in advance, reducing that friction and making the handoff predictable.
It also protects the sales team’s time. Sales conversations are expensive: they require a rep’s full attention, they involve demos and proposals and follow-up. If reps are expected to work every contact who ever filled out a form, they end up spending most of their time on people who are nowhere near ready to buy. The SQL filter means reps spend their time on the leads most likely to convert.
How to define MQL and SQL for your business
The right definitions depend on your business, your buyers, and how your funnel works. A few practical starting points:
- MQL criteria - what specific actions or attributes signal genuine interest rather than casual browsing? (Visited pricing page + downloaded a guide + from a company with 10+ employees, for example.)
- SQL criteria - what questions does a rep need to answer “yes” to before a lead becomes an active deal? Frameworks like BANT (Budget, Authority, Need, Timing) are common starting points.
- Who makes the call - is the MQL-to-SQL conversion an automatic process (lead score reaches a threshold) or a human decision (a sales development rep reviews and accepts the lead)?
Once defined, these criteria belong in the CRM so the classification is consistent across the team. For more on the overall lead lifecycle, see the lead management and lead glossary entries, and the guide to lead management.