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MQL vs SQL: marketing qualified vs sales qualified leads

updated 17 October 2026

An MQL (marketing qualified lead) is someone who has shown enough interest, such as downloading a guide or attending a webinar, for marketing to think they might buy. An SQL (sales qualified lead) is someone sales has confirmed is a real opportunity: they fit, they have a need, and they're ready to talk.

The move from MQL to SQL is where marketing hands off to sales, and it's where most arguments between the two teams happen.

Backstage at a theater, a performer waits in the wings while another has already stepped through the curtain onto the stage.

The difference at a glance

MQLSQL
Who decidesMarketing, usually by scoreSales, usually by conversation
Based onFit plus activity (opens, visits, downloads)Confirmed need, timing and authority
Typical next stepNurture emails, retargetingDiscovery call, demo
Main riskLots of interest, little intentToo few, if the bar is too high

Why it matters for B2B teams

The split lets each team do what it is good at. Marketing builds interest at scale, and sales spends time only where there is a real deal. It breaks when the definitions are vague. If marketing passes every webinar attendee as an MQL, sales stops following up and good leads go cold.

Clear, written criteria help: which behaviours make an MQL, which questions make an SQL, and how fast sales must follow up.

How it shows up in public posts

Public posts don't come with an MQL or SQL label, but the language often tells you which stage someone is at. Here are sample sentences, scored 0 to 100 for buying intent the way HearBuyers scores posts:

  • Sample, score 93, SQL-like. "We've shortlisted two payroll providers and need to decide by the 15th. Anyone used either for a 30-person team?" There's a need, a deadline and an active decision.
  • Sample, score 55, MQL-like. "Starting to look at whether we should outsource payroll next year." Early interest.
  • Sample, score 9. "Payroll is boring, change my mind." No need.

Whoever writes the first post has skipped most of your funnel. Treat it like an SQL and respond quickly.

Common mistakes

  • Counting MQLs as success. Volume is easy to inflate. Track how many become SQLs and deals.
  • No feedback loop. Sales should tell marketing why leads were rejected.
  • Forcing every lead through every stage. Someone with a stated, urgent need shouldn't wait for a nurture sequence.

To spot SQL-like posts in your market, paste a few into the buying intent scorer and see which ones score above 70.

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