A qualified lead in B2B is a prospect who has been assessed against defined criteria and determined to be worth investing sales or marketing effort in pursuing. Without qualification criteria, sales teams waste time on prospects who will never buy, and marketing measures success by lead volume rather than lead quality. The qualification framework most B2B companies use creates three distinct stages between "raw contact" and "active sales opportunity": MQL (Marketing Qualified Lead), SAL (Sales Accepted Lead), and SQL (Sales Qualified Lead).
What is an MQL (Marketing Qualified Lead)?
An MQL is a lead that marketing has determined meets their criteria for fit (the lead matches the ICP -- right industry, company size, job title, geography) and intent (the lead has taken one or more actions that signal buying intent -- downloaded a relevant content piece, attended a webinar, viewed a pricing page, or reached a lead score threshold). MQLs are handed off from marketing to sales/SDR for follow-up. Defining MQL criteria is the most important step in the marketing-sales alignment process: if the definition is too loose, sales wastes time on unqualified leads and loses trust in marketing; if too tight, real opportunities slip through untouched.
What is a SAL (Sales Accepted Lead)?
A SAL is an MQL that sales has reviewed and accepted as worthy of pursuit -- it passes a basic sanity check (the contact is real, at a real company, in a relevant role, and not already an active customer or closed-lost). The SAL stage exists to create accountability: marketing is accountable for delivering MQLs that meet the agreed criteria; sales is accountable for accepting and following up on them within an SLA (typically 24-48 hours). An MQL that sales rejects (because it does not meet the criteria) goes back to marketing for re-evaluation.
What is an SQL (Sales Qualified Lead)?
An SQL is a lead that the SDR or AE has spoken with, confirmed has a real and immediate need for the product, has or can access budget, has the authority to purchase or direct access to the decision-maker, and has a defined timeline for making a decision. SQLs are typically qualified using a framework like BANT (Budget, Authority, Need, Timeline) or MEDDIC (Metrics, Economic Buyer, Decision Criteria, Decision Process, Identify Pain, Champion). An SQL becomes an opportunity in the CRM and is actively worked by an AE.
How to define MQL and SQL criteria for your business
- 1.Define your ICP explicitly: which industries, company sizes, job titles, and geographies are your best-fit customers?
- 2.Identify the behavioural signals that indicate buying intent in your specific funnel: what actions do your best customers take before they become SQLs?
- 3.Set the lead score threshold for MQL: what combination of fit score and behaviour score makes a lead worth an SDR's time?
- 4.Define SQL criteria as a checklist -- the minimum conditions an AE must confirm before moving a lead to opportunity stage
- 5.Review and recalibrate every quarter: as your product and market evolve, so should your qualification criteria
MQL to SQL conversion benchmarks
B2B conversion rate benchmarks: MQL to SAL: 70-85% (most MQLs should be accepted if the MQL definition is well-calibrated); SAL to SQL: 30-50% (only a portion of accepted leads will convert to qualified opportunities after an SDR conversation); SQL to Closed Won: 20-35% for mid-market, 10-20% for enterprise. If your MQL to SQL conversion is above 50%, your MQL criteria may be too permissive (too many unqualified leads are being accepted). If it is below 15%, your MQL criteria may be too strict and you are sending sales too few leads relative to your marketing investment.
Frequently asked questions
- What is a qualified lead in B2B?
- A qualified lead in B2B is a prospect who has been evaluated against defined fit and intent criteria and determined to be worth pursuing with sales effort. The main types of qualified lead in B2B are: MQL (Marketing Qualified Lead) -- meets marketing's criteria for ICP fit and buying intent based on firmographics and behaviour; SAL (Sales Accepted Lead) -- an MQL that sales has reviewed and accepted as worthy of follow-up; and SQL (Sales Qualified Lead) -- a lead that an SDR or AE has spoken with and confirmed has real budget, authority, need, and timeline. Qualification criteria exist to prevent sales teams from wasting time on prospects who will not buy.
- What is the difference between MQL and SQL?
- An MQL (Marketing Qualified Lead) is a lead that marketing has qualified based on fit (matches the ICP -- right industry, size, role) and intent (has taken actions that signal buying intent -- content download, webinar, pricing page). The MQL definition is set by marketing and typically automated through lead scoring. An SQL (Sales Qualified Lead) is a lead that sales has spoken with directly and confirmed has real budget, decision-making authority, a confirmed need for the product, and a defined timeline. The key difference: MQL is qualified by marketing based on data and behaviour; SQL is qualified by sales through a direct conversation.
- What is an SAL (Sales Accepted Lead)?
- A SAL (Sales Accepted Lead) is the intermediate stage between MQL and SQL -- it is an MQL that the SDR or sales team has reviewed and formally accepted as a lead worth following up on. The SAL stage creates accountability: marketing is accountable for producing MQLs that meet the agreed criteria; sales is accountable for accepting (or rejecting with a reason) all MQLs within an SLA (typically 24-48 hours). A rejected MQL returns to marketing with a reason code (e.g., "wrong company size", "not the right persona", "already a customer") so marketing can recalibrate its MQL definition. Not all B2B companies use the SAL stage -- some move directly from MQL to SQL.
- How do you define MQL criteria for a B2B company?
- To define MQL criteria for a B2B company: (1) start with your ICP -- which company characteristics (industry, size, geography, tech stack, revenue) define your best-fit buyers? Assign firmographic score points to leads that match; (2) identify the behavioural signals that correlate with purchase intent in your funnel -- what actions do your highest-converting customers take before they buy? Assign behavioural score points to these actions (pricing page: 20 points; case study download: 10 points; email open: 2 points); (3) set a lead score threshold for MQL based on historical data -- at what total score do leads convert to SQLs at an acceptable rate?; (4) test and recalibrate quarterly by looking at MQL to SQL conversion rate and SQL to Closed Won rate for each MQL cohort.
Keep reading
- Lead scoring: meaning, how it works, and B2B examples
- What is lead generation? Meaning, channels, and how it works in B2B
- Lead generation funnel: how to build a B2B funnel that converts
- BANT in sales: full form, meaning, and how to use it
- B2B marketing funnel: stages, metrics, and how to optimise each stage