sales
SQL (Sales Qualified Lead)
A lead that meets fit criteria AND is ready to engage with sales.
Definition
A Sales Qualified Lead has been validated by sales as worth pursuing: fits ICP, has expressed buying intent, has decision authority or access to it. This is the handoff point from marketing to sales. Most service businesses skip this step and route every lead directly to a sales call - which burns rep time on unqualified prospects. A clean MQL -> SQL handoff with documented criteria typically lifts win rate by 30-50% by reducing time wasted on bad fits.
BANT and modern SQL frameworks
The classic SQL qualification framework is BANT: Budget, Authority, Need, Timeline. Modern variants include MEDDIC (Metrics, Economic buyer, Decision criteria, Decision process, Identify pain, Champion) for enterprise B2B and GPCT (Goals, Plans, Challenges, Timeline) for inbound. BANT works for transactional B2B (under 50K average deal size). MEDDIC works for complex enterprise (over 100K average deal size). GPCT works for inbound-heavy motions where leads come to you. Pick one framework, document it as your SQL criteria, train every rep, and inspect deal-level qualification weekly. The framework matters less than consistency of application.
The MQL to SQL handoff process
Effective handoff has four stages. One, automatic trigger: MQL criteria met, lead enters SQL routing queue. Two, ownership assignment: round-robin to available reps or matched by territory or vertical. Three, SLA timer: rep has 24 to 48 hours to either accept (work the lead) or reject (with reason). Four, follow-up: accepted leads get first-touch outreach within 4 to 24 hours of acceptance. SLA enforcement is the lever that prevents leads from rotting in queue. Track SLA compliance weekly; reps who miss SLA lose lead allocation. US B2B research consistently shows that first-touch within 1 hour produces 5 to 10x higher conversion than first-touch within 24 hours.
SQL conversion benchmarks
Healthy US B2B benchmarks. SQL to closed-won conversion: 15 to 30 percent for inbound, 5 to 15 percent for outbound, 25 to 40 percent for referrals. Below benchmark indicates pricing, positioning, or competitive issues. Above benchmark suggests SQL criteria are too tight (you are leaving deals on the table by not pursuing). Track SQL to win conversion by source, by segment, by rep, and by deal size. The segmentation reveals where the funnel works and where it leaks. Most often, conversion is healthy in some segments and broken in others; aggregate hides the problem.
Why most US sales teams handle SQLs poorly
Five recurring failures. One, undefined SQL criteria, so reps work whatever comes in. Two, no SLA enforcement, so high-intent leads cool. Three, no qualification discipline mid-funnel, so unqualified deals consume rep time. Four, no formal disqualification process, so dead deals clutter pipeline forever. Five, no closed-loop feedback to marketing on SQL quality, so MQL criteria never improve. Fixing all five typically lifts overall pipeline conversion by 30 to 60 percent without adding leads. The discipline cost is modest (process documentation, weekly inspection); the revenue impact is large.
FAQ
What is the difference between MQL and SQL?
MQL is marketing's judgment that a lead is qualified enough to send to sales. SQL is sales's confirmation that the lead is worth working. The MQL to SQL transition is a handoff between teams with explicit acceptance criteria. Marketing produces MQLs based on fit and intent scoring; sales accepts or rejects each MQL based on conversation, deeper qualification, and rep judgment. A healthy funnel has roughly 20 to 35 percent MQL to SQL conversion. Lower means MQL criteria are too loose; higher means too tight.
Should every SQL get a sales call?
Yes, within 24 hours of becoming an SQL. The whole point of SQL designation is that the lead has cleared both marketing scoring AND sales acceptance, making it worth direct rep time. Reps who skip first-touch on SQLs because they look busy with other deals are misallocating attention. The fix: SLA enforcement, automated handoff workflows in HubSpot or Salesforce, and weekly rep accountability for SLA compliance. Reps with consistent SLA misses should lose lead allocation until they fix the pattern.
What is an SAL and how does it differ from SQL?
SAL stands for Sales Accepted Lead and represents an intermediate state between MQL and SQL. MQL means marketing thinks the lead qualifies. SAL means sales acknowledges receipt and commits to work the lead. SQL means sales has had a conversation and confirmed real qualification. The three-stage model (MQL, SAL, SQL) is more granular and useful for diagnosing handoff problems. If MQL to SAL conversion is low, the handoff process is broken. If SAL to SQL conversion is low, qualification quality is poor. Many US B2B organizations use the simpler MQL to SQL model and combine SAL into SQL.
How do I disqualify an SQL without burning the lead?
Disqualify formally in the CRM with a reason code, then route to long-term marketing nurture. The reason code captures whether the lead might re-qualify later (budget will come, timeline shifted, authority not present) or is permanently disqualified (wrong fit, wrong product, competitor). Long-term nurture (monthly newsletter, quarterly check-in) keeps the relationship warm for the 6 to 24 month window when re-qualification might happen. Disqualified SQLs that re-engage later become some of the highest converting SQLs because they have already been in your pipeline once.
What metrics should I track for SQL health?
Five metrics. One, SQL volume by source (where qualified leads come from). Two, SQL to closed-won conversion (sales effectiveness). Three, average days from SQL to closed-won (sales velocity). Four, average deal size by SQL source (channel quality). Five, SQL pipeline coverage (3 to 4x quarterly quota). All five tracked monthly, segmented by rep and by segment. The dashboard reveals which channels produce buyers, which produce browsers, and where the team is over or under capacity. Pipeline visibility comes from this set, not from total lead volume.
In your business
- →Document 4-5 SQL criteria - reject leads that miss 3 of 5
- →Track MQL to SQL conversion - measures marketing quality
- →Track SQL to win conversion - measures sales execution