Marketing Qualified Lead
Also: MQL, Marketing-Qualified Lead
A Marketing Qualified Lead (MQL) is a prospect whose engagement and fit signals indicate they are more likely to become a customer, justifying handoff toward sales.
What it is
A Marketing Qualified Lead (MQL) is a prospect that marketing has assessed as having enough interest and fit to warrant further nurturing or a sales conversation. An MQL is not just any contact who filled out a form. It is a lead that meets agreed criteria based on behavioral signals (what they did) and demographic or firmographic fit (who they are).
The MQL sits at a specific stage in the funnel: above a raw lead or subscriber, but below a Sales Qualified Lead (SQL), which sales has accepted and verified.
Why it matters
Without a clear MQL definition, marketing tends to pass every contact to sales, and sales wastes time on people who will never buy. A shared MQL definition does three things:
- Aligns marketing and sales on what "ready" means, reducing friction at handoff.
- Protects sales capacity by filtering low intent or poor fit leads.
- Creates a measurable conversion point so you can track lead to MQL to SQL to customer rates.
For a CMO, the MQL is a core operational metric. It links top of funnel demand generation to revenue and exposes where the funnel leaks.
How it is used in practice
Most teams operationalize MQLs with lead scoring. Points are assigned for actions and attributes:
- Behavioral: opened emails, visited pricing page, downloaded a whitepaper, attended a demo webinar, repeat site visits.
- Fit: job title, company size, industry, country, budget signals.
When a lead crosses a score threshold, it is flagged as an MQL and routed to sales or to a deeper nurture track. Many teams use negative scoring too: students, competitors, or unsubscribes lose points or are disqualified.
The definition should be reviewed regularly. If sales rejects many MQLs, the bar is too low. If almost none are rejected, the bar may be too high and good leads are being held back.
Concrete example
A B2B analytics vendor sets this rule:
- Fit: job title contains "data" or "analytics" AND company has 200+ employees, worth 30 points.
- Behavior: visited pricing page (20 points) plus downloaded a buyer guide (15 points).
A threshold of 50 points triggers MQL status. A data manager at a 500 person firm who views pricing and grabs the guide scores 65 and becomes an MQL. Sales gets an alert and reaches out within an hour, while a low fit student who downloads the same guide stays in nurture.
This discipline keeps the pipeline clean and the marketing and sales relationship measurable.