Sales Qualified Lead (SQL)
A lead that sales has formally accepted as worth pursuing after qualifying fit, need, budget, and timing — the handoff from marketing to pipeline.
A Sales Qualified Lead (SQL) is a prospect that sales has formally accepted as worth pursuing after qualifying fit, need, budget, and timing. An MQL becomes an SQL once a rep completes an initial qualification call and opens an opportunity in the CRM. The SQL is the formal moment a lead converts into pipeline.
Definition
A Sales Qualified Lead (SQL) is a prospect that has moved beyond marketing qualification and been formally accepted by a sales rep as worth active pursuit. The transition typically happens after an initial discovery or qualification call in which the rep confirms fit (right company, right role), need (recognized problem), timing (active or near-term project), and sometimes budget. Once accepted, the SQL is entered as an opportunity in the CRM and enters the sales pipeline. The MQL to SQL conversion rate is one of the most-watched metrics in the funnel because it directly measures the quality of marketing's handoff.
The MQL to SQL handoff
The handoff is where most B2B funnels leak. Marketing passes a lead; sales reviews it and either accepts (SQL) or rejects. Reject reasons fall into predictable buckets: not ICP fit, wrong role, duplicate of an existing opportunity, not actively evaluating, or out of territory. Each reject is a signal — either the MQL definition needs tightening or sales is applying inconsistent standards.
The fix is shared SQL criteria agreed between marketing and sales, written into the CRM, and reviewed quarterly. Most mature orgs run a weekly lead review where marketing and sales walk the last 20 to 50 MQLs together, debate the calls, and refine the definition. Without this loop, the MQL to SQL conversion rate drifts unpredictably.
Common SQL qualification frameworks
BANT (Budget, Authority, Need, Timeline) is the classic framework: a prospect qualifies when a rep confirms all four dimensions. It works well for transactional mid-market sales but breaks down in complex enterprise deals where budget and authority live across a buying committee.
MEDDIC and MEDDPICC (Metrics, Economic Buyer, Decision Criteria, Decision Process, Paper Process, Identify Pain, Champion, Competition) replace BANT in most enterprise orgs. They emphasize quantified business impact and explicit decision process mapping. Teams using MEDDIC typically see higher forecast accuracy and higher win rates on qualified opportunities. Choose the framework that matches your deal complexity — do not force a $5K SaaS sale through a MEDDIC interrogation.
Why it matters
The SQL is the first moment a lead shows up in revenue math. MQLs are a marketing input, SQLs are a sales input. A healthy MQL to SQL conversion rate (typically 20 to 40%) means marketing and sales have agreed on what qualified means. Below 10%, marketing is passing noise; above 60%, marketing is under-passing. Tracking SQL volume and SQL to close rate is how GTM teams diagnose pipeline health.
Examples
- MQL who books and attends a discovery call, matches ICP, and confirms active evaluation
- Inbound demo request from a VP at a 500-person company in your target vertical
- Lead-scoring threshold plus completed qualification call auto-promotes the lead to SQL
- Sales accepts a visitor-ID lead after confirming ICP fit and a named champion
How Bullseye helps
Bullseye shortens the path from interest to SQL. Identified visitors arrive in sales with fit data (firmographics), intent data (pages viewed, return frequency), and context (who else from the account is also researching). Reps skip low-value MQLs and focus qualification calls on visitors who already look like pipeline — raising SQL conversion and compressing the time from first touch to opportunity.
Frequently asked questions
What is a Sales Qualified Lead (SQL)?
An SQL is a prospect that sales has formally accepted as worth pursuing after qualifying fit, need, timing, and sometimes budget. An MQL becomes an SQL once a rep completes qualification and opens an opportunity in the CRM. The SQL is the formal moment a lead becomes pipeline.
What is the difference between an MQL and an SQL?
An MQL is marketing's judgment that a lead is ready for sales outreach based on fit and engagement. An SQL is sales' acceptance after qualification — the rep confirms the lead is worth active pursuit and opens an opportunity. MQL is the handoff; SQL is the acceptance.
How do you qualify a lead as an SQL?
A rep runs a discovery or qualification call and confirms the prospect meets the agreed SQL criteria — typically fit (ICP match), need (recognized problem), timing (active or near-term project), and often budget and authority. Qualification frameworks like BANT or MEDDIC formalize the checklist.
What is a healthy MQL to SQL conversion rate?
Healthy rates run between 20 and 40%, with an industry average around 13%. Below 10% usually means the MQL definition is too loose or routing SLAs are broken. Above 60% often means marketing is under-passing leads and sales is picking up the slack manually.
What is BANT vs MEDDIC for SQL qualification?
BANT (Budget, Authority, Need, Timeline) is a lightweight framework for transactional mid-market sales. MEDDIC (Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion) — often extended to MEDDPICC — is a more rigorous framework for complex enterprise deals with a formal buying committee. Choose based on deal complexity.
Related terms
Buyer Intent Data
Behavioral signals — website visits, content consumption, search activity, and review-site research — that reveal which accounts are actively evaluating a purchase.
Lead Scoring
A methodology for ranking prospects on a numerical scale based on their fit with your ICP and the strength of their engagement or buying signals.
Marketing Qualified Lead (MQL)
A lead who meets both fit and engagement thresholds agreed between marketing and sales, making them ready for sales follow-up.
Keep learning
Related Use Cases
Lead Generation
Generate leads from your website without forms by identifying anonymous visitors.
Sales Intelligence
Real-time intelligence on website visitors for proactive sales outreach.
Account-Based Marketing (ABM)
Identify individuals from target accounts visiting your site for ABM programs.
Related Guides
Put sales qualified lead (sql) into practice
See how Bullseye helps with sales qualified lead (sql) and more.