What is a marketing qualified lead?
A marketing qualified lead, usually shortened to MQL, is a contact that marketing judges ready for a sales conversation. The judgement combines fit, meaning how closely the person and their organisation resemble a good customer, with engagement, meaning what they have recently done.
There is no standard definition. An MQL is whatever the marketing and sales teams at a given business agreed it would be, which is why the same three letters mean materially different things at two companies in the same category.
How an MQL is usually defined
Most definitions combine a firmographic threshold and a behavioural one. The firmographic part might be company size, industry, region or job title. The behavioural part might be a demo request, a pricing page visit, a reply to an email, or a score crossing a band.
The weakness is structural rather than technical. The definition is normally set by whoever is measured on the count of MQLs, and the threshold is the fastest variable to adjust when the count is short at the end of a quarter. Nobody decides to lower the bar. The bar is simply the only thing that moves quickly enough.
MQL, SQL and a plain lead
A lead is any contact record. An MQL is a lead that marketing has judged ready to hand over. A sales qualified lead, or SQL, is an MQL that sales has accepted and agreed is worth working, usually after a conversation.
The gap between the MQL count and the SQL count is the single most informative number in the handoff, and most teams do not report it. A high MQL count with a low acceptance rate means the definition and the volume target disagree with each other.
Why sales teams ignore MQLs
Sales works the list for a quarter, finds the hit rate poor, and stops. The decision is rarely announced. Leads continue to be generated, counted and reported, and separately they are ignored, and both of those facts can be true for years.
An unworked lead is not free. The acquisition spend is already paid, intent is perishable so the same lead next month is weaker, a competitor who replied has a head start, and the channel that produced the lead now shows a zero conversion rate and gets cut at the next budget round on the evidence of an internal process failure.
The two numbers that make an MQL meaningful
First, the time from lead created to the first genuine human contact attempt, measured as a median rather than an average, because the average is destroyed by the leads nobody ever touched. Response time research has been consistent for over a decade: the odds of a meaningful conversation fall steeply across the first day and keep falling.
Second, the acceptance rate: what share of MQLs sales worked at all. Not converted, worked. Together these two numbers tell you which team has the problem, and the answer is usually both. Low acceptance with slow response means sales does not believe the leads. High acceptance with slow response is a capacity or routing problem, usually fixable in a week.
The structural fix is to attach something downstream to marketing’s target, such as MQLs accepted or pipeline created. The moment marketing is measured on a number sales controls part of, the incentive to push volume through a soft threshold disappears.
Where the MQL model breaks
The whole concept assumes a buyer eventually identifies themselves by filling something in. Increasingly they do not. With zero-click search at 75.1% of tracked searches and most evaluation happening before contact, a buying committee can shortlist a vendor without a single person completing a form.
Where that is the pattern, tuning the MQL handoff is improving a road that is no longer the main one. The signal that matters becomes company-level rather than contact-level: which organisations are reading your pricing and comparison pages, matched to the accounts you already hold, routed to whoever owns them.