By Frédéric Mathieu, CMO at FullEnrich

What Does SQL Mean in Sales?

In sales, SQL stands for Sales Qualified Lead — not Structured Query Language. An SQL is a prospect that marketing has vetted and handed to sales as ready for a direct conversation. The prospect has shown buying intent beyond casual interest: they've requested a demo, asked about pricing, or match your ICP closely enough that a sales rep's time is justified.

The distinction matters because most leads aren't ready for sales. Sending unqualified leads to reps wastes their time and tanks conversion rates. The MQL-to-SQL handoff is where marketing accountability ends and sales accountability begins.

SQL vs MQL: The Qualification Ladder

SQL Qualification Criteria

An MQL becomes an SQL when it meets criteria agreed upon by both sales and marketing. Common frameworks:

• BANT: Budget, Authority, Need, Timeline — does the prospect have all four?
• MEDDIC: Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion
• ICP fit + intent signal: Matches your Ideal Customer Profile AND has taken a high-intent action (demo request, pricing page visit, competitor comparison download)

The best teams define SQL criteria in a written SLA between sales and marketing — not in someone's head.

The MQL-to-SQL Handoff

The handoff is where most pipelines leak. Marketing sends leads over the wall; sales ignores them or cherry-picks. Fix this with:

1. Shared definition: Write down exactly what qualifies a lead as SQL. Both teams sign off.
2. Speed-to-contact: Sales must respond within 5 minutes of SQL assignment. After 30 minutes, conversion drops 80%.
3. Feedback loop: Sales reports back on SQL quality weekly. Marketing adjusts scoring.
4. Enrichment at handoff: Before an SQL reaches a rep, enrich it — verified email, mobile, company data, tech stack. A rep who calls with context converts 2–3x higher than one reading from a form fill.

SQL Conversion Benchmarks

• MQL → SQL conversion: 13–25% (varies by industry and definition strictness)
• SQL → Opportunity: 50–70% (if your SQL definition is tight)
• SQL → Closed-Won: 15–30%

If your SQL → Opportunity rate is below 40%, your SQL definition is too loose. Tighten the criteria.

Related Resources

• MQL Meaning — what qualifies a Marketing Qualified Lead
• Buyer Personas — define who your SQLs look like
• Ideal Customer Profile — the account-level filter before lead scoring
• B2B Sales Guide — the full sales framework
• Email Enrichment — enrich SQLs with verified contact data before handoff

Frequently Asked Questions

What does SQL mean in sales?

SQL stands for Sales Qualified Lead — a prospect vetted by marketing and deemed ready for a direct sales conversation, based on intent signals and ICP fit.

What is the difference between MQL and SQL?

An MQL is qualified by marketing based on engagement (content downloads, email clicks). An SQL is accepted by sales as ready for a conversation — typically after a high-intent action like requesting a demo or asking about pricing.

How do you convert MQLs to SQLs?

Score leads based on ICP fit and intent signals. When a lead crosses the threshold (demo request, pricing page visit, direct outreach), hand it to sales with enriched contact data and context. Speed matters — respond within 5 minutes.

What is a good SQL conversion rate?

MQL to SQL: 13–25%. SQL to Opportunity: 50–70%. SQL to Closed-Won: 15–30%. If your SQL-to-Opportunity rate is below 40%, your qualification criteria are too loose.