Sales Qualified Lead (SQL)
A lead that has been vetted by the sales team and confirmed to have genuine buying intent, budget, authority, and a timeline — making them a real opportunity worth pursuing.
SQLs Separate Real Buyers from Wishful Thinking
An SQL is a lead where a human on the sales team has confirmed: this person has a problem we solve, the budget to solve it, and a reason to act now. It is the difference between “someone visited our website” and “someone is ready for a demo.”
The SQL stage matters because it is where pipeline math starts. MQLs are vanity. SQLs are pipeline. When your board asks about pipeline, they are asking about SQLs and the opportunities they create — not the 2,000 people who downloaded your ebook.
SQL Qualification Frameworks
Most teams use a framework to standardize SQL qualification:
| Framework | Criteria | Best For |
|---|---|---|
| BANT | Budget, Authority, Need, Timeline | SMB/mid-market |
| MEDDIC | Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion | Enterprise |
| CHAMP | Challenges, Authority, Money, Prioritization | Solution selling |
| GPCTBA | Goals, Plans, Challenges, Timeline, Budget, Authority | Inbound-heavy |
Pick one and enforce it. The framework matters less than consistency. If every rep has a different definition of “qualified,” your pipeline data is useless.
The MQL-to-SQL Handoff
The handoff is where most funnels break. Best practice: define a Service Level Agreement (SLA) between marketing and sales. Marketing commits to delivering X MQLs per month at Y quality. Sales commits to following up within Z hours and providing feedback on lead quality. Track acceptance rate — the percentage of MQLs that sales accepts as SQLs. Below 50% means marketing’s criteria need tightening. Above 80% means marketing can probably send more volume.
Why SQL Velocity Matters More Than SQL Volume
Generating 100 SQLs that take 120 days to close is worse than generating 50 SQLs that close in 45 days. Track the speed at which SQLs move through your pipeline, not just how many you create. Fast-moving SQLs mean your qualification is tight, your product fits the market, and your sales process is efficient.
Frequently Asked Questions
What is the difference between an MQL and an SQL?
An MQL is marketing's best guess that someone might buy based on behavior signals. An SQL is sales confirming that guess after a real conversation. The MQL-to-SQL handoff is where most B2B funnels leak — marketing passes leads that sales rejects, or sales cherry-picks and ignores the rest. The fix is agreeing on acceptance criteria before the lead is passed.
What is a good SQL to close-won rate?
15-25% for mid-market B2B SaaS. Enterprise deals tend to close at 10-20% because of longer cycles and more stakeholders. SMB can hit 25-35% if qualification is tight. If your SQL-to-close rate is below 10%, your SQL definition is too loose — you are creating opportunities that are not real.
