Definitions
What MQL and SQL mean, and how they're different
MQL (marketing qualified lead) and SQL (sales qualified lead) defined plainly, with typical conversion rates between them and how to set the criteria for each.
- 3 August 2026
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What do MQL and SQL mean, and what's the difference?
An MQL (marketing qualified lead) is someone who's shown enough interest through marketing activity — downloading a guide, attending a webinar, repeated site visits — to be worth a look, but hasn't been assessed for budget or fit. An SQL (sales qualified lead) has been vetted by a rep as having real budget, need and authority to buy. Typically 20-30% of MQLs convert to SQLs.
Last updated 3 August 2026
| Stage | Defined by | Example criteria | Typical conversion onward |
|---|---|---|---|
| MQL | Marketing engagement signals | Downloaded a guide, visited pricing page twice | 20-30% become SQL |
| SQL | Sales-verified fit | Confirmed budget and authority on a call | 20-40% become closed-won |
| Lead | Any contact captured | Filled a form, subscribed to a newsletter | 10-20% become MQL |
| Opportunity | Active deal in progress | Proposal sent or being scoped | Overlaps with late-stage SQL |
Do this
The steps, in order.
- Step 1
Set explicit MQL criteria, in writing
Pick 2-3 signals — content downloaded, pages visited, company size — and a point threshold. Without written criteria, marketing and sales will disagree constantly about what counts.
- Step 2
Set SQL criteria based on BANT or similar, not gut feel
Budget, Authority, Need, Timeline — a lead only becomes an SQL once a rep has confirmed these on a real conversation, not from a form fill alone.
- Step 3
Get marketing and sales to agree the definitions together
This is the single most common source of friction between the two teams. A joint meeting to set and revisit MQL/SQL criteria quarterly prevents months of "your leads are junk" arguments.
- Step 4
Track conversion rate at each stage monthly
Lead-to-MQL, MQL-to-SQL, SQL-to-closed. A drop at any one stage tells you exactly where to focus — a marketing targeting problem versus a sales follow-up problem look completely different in this data.
- Step 5
Revisit thresholds every quarter
As volume grows, MQL criteria usually need tightening to keep the SQL conversion rate from falling — what counted as sufficient interest at 50 leads a month often doesn't hold at 500.
Worth knowing
The bits people get wrong.
The distinction exists to solve a real coordination problem: marketing generates volume, sales needs quality, and without an agreed midpoint definition, marketing counts every form fill as a win while sales complains none of them are real. MQL and SQL create a shared, measurable handoff point.
For small teams without a dedicated marketing function, these labels can feel like unnecessary process — but even a solo founder benefits from separating "someone downloaded my guide" from "someone told me on a call they have budget," because it changes what follow-up action is appropriate.
A common mistake is setting MQL criteria too loosely, which floods sales with unqualified leads and creates the same friction the definitions were meant to solve. If SQL conversion from MQL is consistently under 10%, the MQL bar is probably too low and needs tightening, not more sales follow-up effort.
Lead scoring software (HubSpot, Marketo, Pardot) automates the point-threshold part of MQL classification, but the criteria still need to be set by a human decision based on what's actually correlated with becoming a customer at your business specifically — default scoring templates rarely fit without adjustment.
Questions
Follow-up questions.
Do I need MQL and SQL stages if I'm a solo founder doing all my own sales?
Loosely, yes — even informally distinguishing "interested" from "confirmed they can buy" helps you prioritise follow-up time, even without formal scoring software.
What's a good MQL-to-SQL conversion rate?
20-30% is typical for reasonably well-set MQL criteria. Below 10% usually means the MQL bar is too low; above 50% may mean it's set so high you're missing real opportunities.
Is a PQL (product qualified lead) different from an MQL?
Yes — a PQL is qualified by in-product usage behaviour (a free-trial user hitting an activation milestone) rather than marketing content engagement, common in product-led growth companies.
Who owns the MQL-to-SQL handoff, marketing or sales?
Ideally both agree the criteria jointly, but sales owns the final SQL call, since they're the ones verifying budget and authority directly with the prospect.
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