Sales Qualified LeadSQL

By Federico Donatone · Updated October 15, 2026

Definition

A sales qualified lead (SQL) is a prospect that the sales team has checked and accepted as a real opportunity worth pursuing. Sales confirms it, usually on a discovery call, against written criteria such as a clear need, access to the decision maker, a budget and a timeline. In most CRMs an SQL becomes an opportunity.

What makes a sales qualified lead

An SQL rule should be short, written down and the same for every rep. Most teams build it from a qualification framework such as BANT or MEDDIC. A practical checklist:

Fit: the account matches your ideal customer profile.
Need: the prospect described a problem your offer solves, in their own words.
Authority: you are talking to the decision maker or have a clear path to them.
Timing: there is a reason to act within a defined period.
Next step: a second meeting or an evaluation step is on the calendar.

From our workMake the next step a hard requirement. A prospect who agrees the problem matters but will not book the next meeting is still a lead, not an SQL.

MQL vs SQL vs qualified opportunity

The three terms describe stages of the same funnel. A marketing qualified lead passed a scoring rule. A sales qualified lead passed a conversation. A qualified opportunity is an SQL with a record in the CRM, and pipeline is that opportunity with an amount attached.

Stage	Who decides	Proof
MQL	Marketing	Score above the agreed threshold
SQL	Sales	Criteria confirmed on a call
Qualified opportunity	Sales	CRM opportunity ID and a written rule
Pipeline	Sales	Amount, currency, stage, snapshot date

This is the ladder in our B2B Outbound Evidence Standard: a held meeting is not automatically an opportunity, and every move up needs a record that proves it.

How to measure SQL conversion

FormulaMeeting to SQL rate = SQLs ÷ Meetings held × 100If 30 of 50 held discovery calls meet your written criteria, your meeting to SQL rate is 60%.

Measure the rate by source: outbound, inbound, referrals and events. Watch the step before it too. A meeting that never happens cannot become an SQL, and in the Growth Cab show rate study of 1,380 B2B meetings booked by cold calling, 14.6% ended in a no-show and 11.0% were rescheduled. The full breakdown is in the show rate study.

Track the reverse too: SQLs that sales closes as no-fit soon after accepting them. A growing share means the criteria are being stretched to hit a target. Review a sample of those deals with the SDR and the account executive together, and tighten the rule where it let them through.

Where SQLs come from in outbound

In outbound, the SQL usually appears on the first discovery call booked by an SDR or an appointment setter. The SDR qualifies for fit and interest, and the account executive confirms need and timing. The weak point is the handoff: reps rewarded for any meeting fill calendars, not pipeline. Count qualified opportunities, not meetings. When an outside team books meetings for you, agree on the SQL rule in writing before the first call, and ask for reports on qualified opportunities rather than dials or meetings booked. Across 400+ B2B clients, Growth Cab has opened 10,000+ qualified opportunities, and that is the headline number we report.

Qualification starts with your own offer. Our guide to sales discovery questions lists six answers to prepare before the call, so you can judge the fit quickly and honestly.

Sales Qualified Lead FAQ

What is the difference between an MQL and an SQL?

An MQL is a lead marketing scored as likely to buy, based on fit and engagement. An SQL is a lead sales has spoken with and confirmed against written criteria such as need, authority and timing. The MQL is a prediction, and the SQL is a confirmed opportunity.

Who decides if a lead is sales qualified?

Sales does, usually the account executive or the SDR who runs the first call. The criteria should be written down and agreed with marketing, so every rep applies the same rule. Rejected leads should go back to marketing with a reason.

What is a good MQL to SQL conversion rate?

It depends on your market, your deal size and how strict each definition is, so compare against your own history rather than an industry average. Track it by channel. If it drops, check whether the MQL rule got looser or follow-up got slower.

Related terms

Marketing Qualified LeadA marketing qualified lead (MQL) is a lead that marketing judges likely to buy, based on fit and engagement, and passes to sales for follow-up. An MQL is not a qualified opportunity yet: it has shown interest, such as downloading a guide or attending a webinar, but no one in sales has confirmed the need. BANTBANT is a sales qualification framework that checks four things about a prospect: Budget (can they pay), Authority (who makes the decision), Need (do they have a problem you solve) and Timeline (when they plan to act). Sellers use BANT on discovery calls to decide whether a lead is worth pursuing. MEDDICMEDDIC is a sales qualification framework for complex B2B deals. It checks six elements: Metrics, Economic buyer, Decision criteria, Decision process, Identify pain and Champion. Sellers use MEDDIC to judge whether a deal is real, who will actually sign it and what is still missing before they put it in the forecast. Discovery CallA discovery call is the first in-depth sales conversation with a prospect, held to understand their situation, problem and goals and to decide together whether there is a fit worth pursuing. A good discovery call ends with a clear next step, such as a demo, a proposal or a meeting with other decision makers. Lead ScoringLead scoring is a method of ranking leads by giving each one points for how closely it matches your ideal customer profile and how strongly it shows interest in buying. The total score tells sales who to call first, who marketing should nurture longer, and who to drop from the list. Account ExecutiveAn account executive (AE) is the salesperson who owns a deal from the first qualified meeting to the signed contract. In B2B sales, the account executive runs discovery, builds the business case with the buyer, brings in every stakeholder, negotiates terms and closes. Most AEs are measured on revenue closed against a quota, a target for a set period.