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MQL to SQL Conversion Rate Calculator

Enter your Marketing Qualified Leads and how many of those became Sales Qualified Leads to see the conversion rate between your two lead stages.

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MQL to SQL rate
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MQLs per SQL
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MQL to SQL rate is Sales Qualified Leads divided by Marketing Qualified Leads.

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An MQL to SQL conversion rate calculator measures how many of your Marketing Qualified Leads actually get accepted by sales as Sales Qualified Leads. It is one of the clearest signals of whether marketing and sales agree on what counts as a genuinely sales-ready lead.

What separates an MQL from an SQL

A Marketing Qualified Lead has shown enough engagement, such as downloading content or fitting a target profile, that marketing considers them worth passing along, while a Sales Qualified Lead has been reviewed and accepted by sales as someone worth actively pursuing. The gap between the two stages is where lead quality gets tested.

Why this rate is a health check on lead quality, not just volume

A team can generate a large volume of MQLs that still converts to SQLs at a low rate if the qualification criteria are too loose or misaligned with what sales actually wants to see. Tracking this rate over time, alongside your cost per lead, shows whether marketing is generating leads that are genuinely valuable or simply generating volume.

What tends to move this number

Tightening MQL scoring criteria to better match what sales actually closes, improving lead routing speed, and getting marketing and sales aligned on a shared definition of a qualified lead are the most common levers. Since this rate depends heavily on your own funnel definitions and industry, it is more useful to track your own trend over time than to compare against an external benchmark, ideally alongside your customer acquisition cost to see the full picture.

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FAQ

MQL to SQL Conversion Rate Calculator: questions, answered

What is the MQL to SQL conversion rate?
It is the percentage of Marketing Qualified Leads that go on to become Sales Qualified Leads, calculated as SQLs divided by MQLs. It shows how much of the lead volume marketing generates is actually accepted as sales-ready by the sales team.
What counts as an MQL versus an SQL?
Definitions vary by company, but generally an MQL has shown engagement signals that marketing considers promising, such as content downloads or firmographic fit, while an SQL has been reviewed and accepted by sales as ready for active outreach.
What is a healthy MQL to SQL rate?
This varies widely by industry, average deal size, and how strictly each company defines MQL and SQL, so there is no universal target. It is most useful to track your own rate over time and treat a sudden drop or rise as a signal to investigate lead quality or sales bandwidth.
How can we improve our MQL to SQL rate?
Common levers include tightening MQL scoring criteria to better match traits of leads that actually convert, speeding up lead routing and follow-up, and getting marketing and sales to agree on a single shared definition of a qualified lead.
Does channel or campaign source affect this rate?
Yes, leads from different channels and campaigns often convert from MQL to SQL at very different rates, since intent and fit vary by source. Breaking this rate down by channel, rather than looking only at a blended figure, usually reveals which sources are worth investing further in.

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