Definition
An SQL is a lead that sales has validated as qualified for a sales conversation (budget/need/timing or product fit).
Example
A lead confirms budget and timeline on a discovery call and meets ICP criteria.
How to use it
- Track MQL->SQL and SQL->Closed rates to find funnel bottlenecks.
- Segment by channel to identify high-quality sources.
- Document SQL criteria so marketing and sales use the same gate.
- Review SQL rate alongside response time and follow-up quality.
Common mistakes
- Labeling a lead as SQL without a real qualification step.
- Letting SQL definitions drift by rep or region.
- Treating all SQLs as equal quality without scoring.
Measured as
Measure SQL (Sales-Qualified Lead) on the same customer segment, time window, and revenue basis each time you review it.
Misused when
- Labeling a lead as SQL without a real qualification step.
- Letting SQL definitions drift by rep or region.
- Treating all SQLs as equal quality without scoring.
Operator takeaway
- Track MQL->SQL and SQL->Closed rates to find funnel bottlenecks.
- Segment by channel to identify high-quality sources.
- Document SQL criteria so marketing and sales use the same gate.
- Keep SQL (Sales-Qualified Lead) consistent by cohort, segment, and period before you use it as a decision signal in planning or reporting.
- Interpret the metric alongside retention, margin, or payback so one ratio does not hide the real operating trade-off.
Next decision
- Quantify the impact with Sales Funnel Targets Calculator if you need to turn the definition into an operating assumption.
- Read Sales funnel targets: leads -> MQL -> SQL -> opp -> win (how to plan) if the decision depends on interpretation, policy, or trade-offs beyond the raw formula.
Where to use this on MetricKit
Calculators
- Sales Funnel Targets Calculator: Translate a revenue target into required wins, opportunities, SQLs, MQLs, and leads using funnel conversion rates.
Guides
- Sales funnel targets: leads -> MQL -> SQL -> opp -> win (how to plan): A practical guide to back-solving funnel volume targets from a revenue goal using conversion rates and average deal size.
- Sales ops metrics hub: quota, pipeline, win rate, and capacity planning: A practical hub for sales ops planning: quota attainment, pipeline coverage, required pipeline, sales capacity with ramp, and OTE math.