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Definitive Answer

What Is the Difference Between MQL and SQL?

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Tom Regan·Updated

Quick Answer

An MQL (Marketing Qualified Lead) is a lead that marketing has scored as sales-ready based on two dimensions: fit (match to the ideal customer profile) and intent (buying-signal behavior such as pricing-page visits, demo requests, or webinar attendance). An SQL (Sales Qualified Lead) is a lead a sales rep has verified, usually in a discovery call, as having budget, authority, need, and timeline (BANT). The difference is who qualified the lead and what evidence was used: marketing infers readiness from behavior; sales confirms it in conversation.

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23% of B2B pipeline is lost at the MQL-to-SQL handoff. Only 32% of companies have a shared definition of what qualifies a lead. The average MQL sits for 14 days before being actioned by sales, according to Artemis GTM's 2026 Benchmark Study (directional, drawn from our audits and industry benchmarks — not a controlled study).

Artemis GTM 2026 Benchmark Study (directional, drawn from our audits and industry benchmarks — not a controlled study)

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The Full Picture

In the B2B lead lifecycle, the stages run visitor → lead → MQL → SQL → opportunity → customer. Marketing owns the MQL stage and scores it programmatically; sales owns the SQL stage and validates it with a human conversation. The transition between them is the highest-friction handoff in B2B pipeline. Across the B2B SaaS engagements we've audited ($1M-$50M ARR), Artemis GTM's 2026 GTM Benchmark Study found (directional, drawn from our audits and industry benchmarks — not a controlled study): 23% of pipeline is lost at the MQL-to-SQL handoff, only 32% of companies maintain a shared written definition of "qualified," the average MQL sits 14 days before sales actions it, and the average sales acceptance rate of MQLs is 44%. The fix is definitional, not technological: a jointly owned scoring threshold (commonly 70+ on a 100-point combined fit-plus-intent scale), a response-time SLA, and a monthly disposition review between marketing and sales. When the two teams share one definition, acceptance rates rise and the 14-day idle window collapses.

The Data

MetricValue
Pipeline lost at MQL-to-SQL handoff23%
Companies with a shared MQL/SQL definition32%
Average time lead sits in MQL before action14 days
Average sales acceptance rate of MQLs44%

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