MQL, SQL, and the handover that decides everything
The short answer
An MQL is a contact marketing considers ready to pass on. An SQL is one sales has checked and accepted as a real opportunity. The definitions matter less than the fact that they are written down and agreed.
Most arguments between marketing and sales are really arguments about an undefined handover.

The two terms
Plainly:

What each one means
MQL: marketing believes this contact is interested enough to be worth a salesperson's time.
SQL: sales has looked at it and agrees there is a real opportunity here.
Why the line has to be written
Without a written rule, every person applies their own standard on any given day. Marketing counts leads that sales considers worthless, sales rejects leads marketing considers good, and both conclude the other is not doing their job.
The fix is unglamorous: agree the criteria, write them down, and revisit them when the data says they are wrong.
What good criteria look like
Concrete and checkable, not sentiments:
- Matches the ICP on industry, size and role.
- Has shown a specific action or expressed a specific need.
- Has some indication of budget and authority.
Track the rejections
The most useful number is how many MQLs sales rejects and why. That single figure tells you whether your targeting or your criteria need adjusting, and it turns a recurring argument into a data question.
In outbound the line is different
In outbound there is no inbound signal to interpret, so the equivalent question is whether a replying contact is a real opportunity or just polite. The principle holds: write down what qualifies, so it is decided consistently.
Frequently asked
What is the difference between an MQL and an SQL?
Why do MQL and SQL definitions cause arguments?
What should qualification criteria include?
Rather not build this yourself?
We run the targeting, data, copy and follow-up as a done-for-you service, and send the interested replies straight to your inbox. You bring the close.
Book a strategy call