B2B Sales Glossary

MQL vs SQL

An MQL (Marketing Qualified Lead) has shown enough interest to be worth a follow-up but is not yet ready to buy. An SQL (Sales Qualified Lead) has been vetted further — usually by an SDR — and is ready for an AE conversation. The MQL-to-SQL conversion rate is one of the most-watched funnel metrics in B2B.

What is mql vs sql?

MQLs come from marketing channels (content downloads, webinars, ad clicks) and are scored against ICP fit + engagement signals. SDRs work the MQL queue, run discovery, and either qualify the lead in (becoming an SQL routed to an AE) or qualify it out (returning to nurture). A healthy MQL→SQL rate is typically 20–30% in B2B SaaS. Lower rates suggest marketing is delivering low-quality leads; higher rates suggest the bar is too loose. Some teams use stricter variants: MEL (Marketing Engaged Lead), SAL (Sales Accepted Lead), or PQL (Product Qualified Lead) for product-led growth motions.

Examples

  • →MQL: downloaded a buyer's guide, fits ICP — handed to SDR for outreach
  • →SQL: SDR ran 15-minute discovery, confirmed budget and timeline — booked AE meeting
  • →Funnel: 1,000 MQL → 200 SQL (20% conversion) → 40 opportunities → 8 closed-won

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