Sales Qualified Lead (SQL)
A Sales Qualified Lead (SQL) is a prospect that a salesperson has evaluated and accepted as a legitimate opportunity worth active pursuit — typically confirming need, fit, budget and timing beyond the interest signals that made them a marketing qualified lead. The SQL stage marks the transition from marketing nurture to an active sales process.
How it works
A rep works an MQL, has a conversation or discovery call, and qualifies it against a framework (need, authority, budget, timeline). If it clears the bar, the rep marks it an SQL and it enters the pipeline as an open opportunity.
Why it matters
SQLs are the leads sales is actually forecasting on, so the definition must be disciplined. Tracking MQL-to-SQL and SQL-to-close conversion exposes where the funnel leaks and whether marketing is sending genuinely sales-ready leads.
What questions should a rep answer before accepting an SQL?
Four questions cover most frameworks. Is there a real problem this product solves, described in the buyer's words? Is there someone who can say yes, or a clear path to them? Is there a reason to act within a defined period, such as a contract renewal or a target date? And is the account a fit for what you sell and can support?
BANT, MEDDIC and similar frameworks are structured versions of those questions. The framework matters less than writing the answers on the record so the next person sees them. What is BANT lead qualification covers the most common one, and discovery call questions that qualify has example wording.
How is an SQL different from an opportunity?
In many companies they are the same moment: the rep accepts the lead and creates the opportunity in the same step. In others, SQL means the rep has agreed to pursue it, and opportunity means a discovery call confirmed a specific deal with an amount and a close date. The distinction matters mostly for reporting, because SQL-to-opportunity conversion only exists when the two are separate stages.
Whichever you choose, define it once and apply it consistently. A pipeline where half the reps create opportunities at first contact and half after discovery produces forecasts that cannot be compared across reps.
A short written rule helps. For example: "A deal becomes an opportunity when the buyer has confirmed the problem, a named decision-maker is involved, and a next meeting is booked." Put that sentence in the CRM stage description so every rep sees it at the moment they choose the stage.
What SQL-stage numbers are worth tracking?
Three are usually enough: the number of SQLs per period by source, the share that become opportunities or reach the next stage, and the win rate of opportunities that started as SQLs from each source. Together they show which sources create real revenue rather than meetings.
Say outbound produced 50 SQLs and inbound 30 in a quarter. If 20% of outbound SQLs and 40% of inbound SQLs closed, inbound produced 12 wins to outbound's 10 from fewer leads. That comparison is what decides where the next hire goes. Sales pipeline stages explained shows how SQL fits into the wider stage model.
How does an SQL show up in Autocloz?
A rep promotes the contact into a deal on the pipeline board, and the deal carries the contact's activity from every channel. Stages are custom, so a team can keep SQL and opportunity as separate stages or merge them. Win rate and stage conversion reports then read from those stages; the win rate entry explains why the denominator should be resolved deals only.
How Autocloz handles it
Autocloz lets reps promote a qualified contact into a deal on the pipeline board in one place, so the SQL becomes a tracked opportunity with its full cross-channel activity history attached.
Free tools for this
No signup required — they run in your browser.
FAQ
Who decides when a lead becomes an SQL?
Sales does. Unlike an MQL (qualified by marketing on engagement signals), an SQL requires a salesperson to vet the lead — usually via a call or reply — and accept it as a real opportunity worth working.
What frameworks qualify an SQL?
Common ones include BANT (Budget, Authority, Need, Timeline) and MEDDIC. The point is a consistent checklist so reps qualify opportunities the same way and the pipeline reflects real, comparable deals.
Related terms
A CRM (Customer Relationship Management) system is software that stores and organizes your contacts, companies, deals and interactions in one place, so a team can manage relationships and a sales pipeline. Modern CRMs also automate follow-up, reporting and, increasingly, AI-assisted outreach.
Lead enrichment is the process of automatically adding missing data to a lead or company record — job title, company size, industry, verified email, phone, LinkedIn, technographics — from third-party data sources, so reps can segment, personalize and prioritize without manual research.
An Ideal Customer Profile (ICP) is a description of the company that gets the most value from your product and is easiest to win and retain — defined by firmographics like industry, company size, revenue, geography and technology stack. It targets accounts (the company), distinct from a buyer persona, which describes the individual within the account.
Lead scoring is the practice of assigning a numeric value to each lead based on how well they fit your ideal customer profile (demographic/firmographic fit) and how engaged they are (behavioral signals like email opens, site visits, demo requests). The score ranks leads so sales works the hottest ones first.