SQL
CRM & RetentionAlso: Sales Qualified Lead
Quick definition
SQL stands for Sales Qualified Lead. It's a prospect that marketing and sales have jointly assessed as ready for direct sales outreach. A SQL has shown enough intent, fit and readiness that a sales conversation is considered the right next step, not more nurturing.
How it varies across Australia
SQL conversion rates from MQL vary significantly by industry and by how tightly the SQL definition is written. Businesses with a loose SQL definition pass more leads to sales but close fewer. Businesses with a tight definition pass fewer but convert at a higher rate. The volume-to-quality trade-off is constant.
See pipeline conversion benchmarks across Australian industries →What it actually means
SQL is where marketing hands the baton to sales. The idea is simple: not every lead is ready for a sales conversation, so marketing qualifies them first. When a lead clears the bar, it becomes a Sales Qualified Lead and the sales team takes over.
The problem is that 'the bar' is almost never written down clearly. In most businesses, SQL means whatever marketing thinks it means that month, which is often different from what sales thinks it means. That gap is where pipeline friction lives.
A proper SQL definition includes at least three things: a fit signal (does this person match our target customer profile), an intent signal (have they done something that suggests they're actively evaluating), and a readiness signal (is there a plausible path to a conversation now, not in six months).
Note: SQL is also widely used as an acronym for Structured Query Language, the programming language used to query databases. This entry covers the sales and marketing usage only.
A SQL is only as good as the definition. Without a written agreement between sales and marketing, the term is just an argument waiting to happen.
How it shows up
SQL shows up as a stage in your CRM. A lead enters as a contact or MQL (Marketing Qualified Lead), gets reviewed against agreed criteria, and either advances to SQL or gets returned to nurture.
The most common criteria frameworks use BANT (Budget, Authority, Need, Timeline) or MEDDIC (Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion). Either works. The output is the same: a binary yes/no on whether sales should be talking to this person now.
SQL volume and SQL-to-opportunity conversion rate are the two numbers worth tracking. SQL volume tells you if marketing is producing enough at the right quality. SQL-to-opportunity rate tells you if the definition is calibrated correctly.
The Australian context
Australian B2B sales cycles tend to run longer than comparable US cycles, partly because the buyer pool is smaller and word-of-mouth moves faster. A lead who was a bad fit at the SQL stage doesn't just fail to convert, they talk about the experience. Tight SQL definitions matter more in smaller markets where reputation compounds quickly.
Where people get this wrong
Related terms
Common questions
What's the difference between an SQL and an MQL?
An MQL (Marketing Qualified Lead) has shown enough interest to warrant marketing attention, typically through content downloads, email engagement or site behaviour. An SQL has cleared a higher bar and is considered ready for direct sales contact. MQL comes first. SQL follows when intent and fit are confirmed.
Who decides when a lead becomes an SQL?
Ideally, sales and marketing together write the criteria, then the process is automated via lead scoring in the CRM. In practice, a lot of businesses rely on a manual review or a sales rep's judgment call. The more manual the process, the more inconsistent the definition gets over time.
How is SQL different from Structured Query Language?
Same acronym, completely different domains. Structured Query Language is the programming language used to query databases. Sales Qualified Lead is the CRM and pipeline term. Context makes the difference clear, but if you're in a mixed technical and marketing conversation it's worth spelling out which one you mean.
What happens if sales rejects an SQL?
A rejected SQL should go back to nurture with a documented reason. Over time, the rejection reasons tell you whether the SQL definition needs tightening. If sales is rejecting a high share of SQLs, the qualification bar is set too low and needs to be raised jointly.
Keep exploring
About New Rebellion
New Rebellion is a marketing intelligence consultancy. We build tools, score Australian businesses on how their marketing actually performs, and publish Debrief every day. This dictionary is part of how we work in the open.
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