A lead that has shown enough interest or fit through marketing activity to be handed to sales for qualification before direct selling effort.
An MQL is a lead that marketing has deemed likely to convert based on engagement signals and profile fit, but who has not yet been vetted by a sales rep. Marketing passes MQLs to sales; sales then qualifies them further to determine if they meet criteria for active selling.
The distinction matters because it separates marketing's job (find people who might buy) from sales's job (confirm they can buy). An MQL has opened an email, attended a webinar, downloaded a guide, or visited your pricing page. An SQL—a Sales Qualified Lead—is an MQL that a rep has verified actually fits your ICP, has a real problem, and has budget.
You inherit an MQL list on Monday. One prospect filled out a form on your product comparison page six weeks ago. Marketing scored them as an MQL because they work at a company in your ICP and clicked through two more pages.
You dial them cold. They say, "I don't know why I'm on your list—I was just researching options, not seriously looking." That MQL is not SQL material. You log it and move on.
Call three: prospect says, "We've been burned by our current tool. We have a budget conversation in Q4." Now it's an SQL. You schedule a discovery call.
The handoff matters because sales and marketing measure different things. Marketing owns MQL volume and cost-per-MQL. Sales owns SQL conversion rate and the percentage of MQLs that actually convert to meetings. If marketing hands you 100 MQLs per month but only 10 become SQLs, the pipeline is leaking in the qualification step, not at the top.
| Term | Who owns it | What it means | Next step |
|---|---|---|---|
| MQL | Marketing | Looks like a fit on paper; showed engagement | Sales calls to qualify |
| SQL | Sales | Sales rep confirmed fit, problem, timeline, budget | Schedule discovery or demo |
| SAL (Sales Accepted Lead) | Sales | Sales rep accepted the lead into their pipeline formally | Add to CRM, begin selling sequence |
The confusion happens because some organizations call everything an "MQL" until someone books a meeting. Others split MQL into tiers: top-tier MQLs get sales calls; lower-tier ones get nurture emails. The cleanest definition is: marketing passes it, sales qualifies it.
Reps and marketing managers watch MQL-to-SQL conversion rate like it's the only metric that matters. A rep says, "I only converted 8% of the MQLs marketing sent me." Then marketing cuts the MQL volume in half, thinking quality is the problem.
Actually, the problem is often qualification rigor. If you're calling 50 MQLs and only 4 become SQLs, the issue might be:
The metric that matters is not MQL conversion alone; it's how many SQLs you create per month and how many of those become opportunities. An 8% conversion rate on 100 MQLs per month (8 SQLs) is weak. The same 8% conversion on 500 MQLs per month (40 SQLs) is strong, because you have more names to work.
Marketing automation platforms score leads based on firmographic data (company size, industry) and behavioral data (page visits, form fills, email opens). The system marks someone as an MQL when they hit a threshold: downloaded a case study AND opened two emails AND visited the pricing page = 85 points = MQL.
The problem: none of that proves they can actually buy or that they have a problem. A persona at a competitor might download your case study just to see what you do. An analyst might visit your pricing page for research.
On your call, you ask, "What brought you to our site?" If the answer is "I don't remember" or "I was just looking," the MQL score doesn't matter. You still have to qualify them from zero. The automation just gave you the name.
Marketing creates an MQL when a prospect meets engagement and firmographic criteria. It becomes an SQL when a sales rep has a conversation with that prospect and verifies they fit your ICP, have a real problem, and have timeline or budget. MQL is automated; SQL requires a rep's judgment.
Only if you run marketing campaigns (email, ads, content) that generate inbound leads. If all your pipeline comes from SDR cold calls or channel partners, MQL tracking adds overhead without insight. Track it only if marketing's job includes lead volume goals.
It depends on how tight your SQL criteria are and how aggressive your qualification is. Typical B2B SaaS ranges from 5–20%, but a lower conversion rate just means marketing is sending more names; quality matters only if the SQLs convert to revenue. Focus on SQL velocity and SQL-to-opportunity rate instead.
Call immediately if the lead is high-intent (just filled out a form, visited pricing, requested a demo). Nurture MQLs that are lower-intent (downloaded a guide weeks ago, haven't engaged since). Hot leads lose interest within 24 hours; cold leads benefit from a multi-touch nurture sequence.
Part of our guide to Discovery calls.
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