A Sales Qualified Lead (SQL) is a prospective customer that has been researched and vetted — first by the marketing team and then by the sales team — and is deemed ready for the next stage in the sales process: a direct sales conversation. The SQL designation represents a critical handoff point between marketing and sales.
MQL vs. SQL
Marketing Qualified Lead (MQL): A lead that has engaged with marketing content enough to indicate interest — downloaded a whitepaper, attended a webinar, visited the pricing page multiple times. Marketing passes MQLs to sales for further qualification.
Sales Qualified Lead (SQL): An MQL that sales has accepted and validated through direct conversation or research. The prospect has confirmed budget, authority, need, and timeline (or similar qualification criteria).
The conversion rate from MQL to SQL is typically 13-20% for B2B companies. The gap represents leads that marketing identified as interested but sales determined weren't actually ready to buy.
SQL Qualification Criteria
Common frameworks for SQL qualification include:
BANT: Budget, Authority, Need, Timeline MEDDIC: Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion GPCTBA/C&I: Goals, Plans, Challenges, Timeline, Budget, Authority, Consequences & Implications
Why the MQL-to-SQL Handoff Matters
Misalignment between marketing and sales on lead quality is the #1 source of revenue team friction. When marketing sends unqualified leads to sales, reps lose trust in the pipeline and start ignoring marketing-sourced leads entirely. When sales rejects too many MQLs without feedback, marketing can't optimize their targeting.
Optimizing with CRM
CRM platforms like HelloGrowthCRM automate the MQL-to-SQL process with AI-powered lead scoring that uses behavioral data and firmographic signals to identify when a lead is truly ready for sales engagement. This reduces the qualification burden on SDRs and ensures no high-intent lead falls through the cracks.