Lifecycle

What is MQL (Marketing Qualified Lead)?

B2B marketing definition, context, and 42 Agency's operator take.

Last updated: April 23, 2026

The short answer

A Marketing Qualified Lead (MQL) is a lead that marketing has determined is ready for sales outreach based on two factors: ICP fit (they match who you sell to) and engagement (they have shown buying intent).

Definition

An MQL is a specific lifecycle stage in a B2B funnel that sits between "Lead" (anyone captured) and "SQL" (lead that sales has accepted). The MQL definition usually combines:

• ICP fit — firmographic, technographic, or behavioral match to the target profile
• Engagement threshold — content consumption, product usage, repeat visits, or explicit intent signals
• Exclusions — competitors, current customers, unsupported regions, obvious disqualifiers

The MQL handoff triggers sales outreach — so the definition effectively determines how much sales time marketing spends. Get it wrong and either sales gets buried in bad leads or good ones never get worked.

Why it matters

MQLs are the most over-debated and under-specified object in B2B marketing. Marketing and sales usually disagree on the definition, which means they disagree on volume expectations, SLA, and attribution. When the definition is soft, marketing celebrates MQL counts while sales ignores the queue — and both teams hit their numbers on paper while pipeline underdelivers.

42's take

The cleanest MQL definition has two axes: fit score and engagement score. A lead becomes an MQL when both axes cross their thresholds — not when either one does. This prevents the classic failure mode where a high-engagement but poor-fit lead (a competitor's SDR, a student) gets routed to sales.

The second thing most teams miss: decay. Engagement from 12 months ago shouldn't count the same as engagement from last week. Without decay logic, the MQL queue eventually fills with "qualified" contacts who haven't shown signal in a year and reps learn to ignore the queue.

Frequently asked questions

What is the difference between an MQL and an SQL?

An MQL is a lead marketing has scored as ready for sales outreach. An SQL is a lead sales has accepted and is actively working. The handoff from MQL to SQL requires sales acknowledgment, typically via a disposition in the CRM.

How do you calculate an MQL score threshold?

Pull 12 months of closed-won and closed-lost leads. Find the score threshold at which conversion-to-opportunity passes a target rate (often 15-25% for B2B). Set the MQL threshold at or slightly below that score and calibrate quarterly.

How is an MQL different from a PQL?

A Product Qualified Lead (PQL) is based on product usage signals (sign-up, feature use, activation milestones). An MQL can include content engagement, webinar attendance, or other marketing activity. PQLs matter most in PLG motions; MQLs are the standard in traditional B2B.