Are MQLs Dead? Turning Skeptics into Champions

The skeptics have a point

The strongest arguments against the MQL are grounded in real operational pain, and it would be a mistake to dismiss them.

Marketing launches inbound leads over the fence to Sales. Sales catches these "qualified" leads that are nowhere near ready to buy and doesn't even bother reaching out to them. Marketing treats every form fill type the same, regardless if it has no meaningful relationship to intent. Reporting rewards volume and output rather than commercial usefulness. Handoffs happen to satisfy lead volume, not because the buyer has signaled genuine interest.

That is a real problem. And organizations that have lived through it are right to be skeptical.

Where trust breaks down

The problem is not the MQL itself. It is the qualification and implementation strategy that sits beneath it.

Assuming a form fill automatically signals intent by treating each one the same regardless of what was filled, by whom, or when. Passing leads early to prove marketing output. Designing thresholds around volume targets instead of conversion quality.

This is where trust breaks down. If one asset download can trigger a handoff, sales quickly learns that "qualified" does not mean "ready." If lead volume is the primary KPI, marketing quickly learns how to hit the number, even when quality suffers.

The MQL becomes a glorified prospect list, for which Sales has no patience to sift through. And the trust erodes.

Why Champions still believe in MQLs

When instrumented correctly, MQLs become a leading indicator of quarterly performance, not just a handoff trigger.

They tell demand gen whether they are engaging qualified prospects, not just generating activity. They tell you whether the right people are MQLing across segments and channels, so you can see where your programs are hitting and where they are missing. They tell you whether you are reaching the right personas, or generating volume from audiences that will never convert. They show you which programs move people fastest through the engagement funnel.

That is genuinely useful intelligence. And none of it is available if you have scrapped the metric, replaced it with something downstream that measures too late, or kept it in place without fixing the instrumentation underneath.

The MQL debate usually ends in one of two places: the metric gets abandoned and replaced with pipeline-only measurement (which tells you nothing until the quarter is almost over), or it gets defended without change (which perpetuates the exact problems that created the skepticism in the first place).

The definition is the foundation

So how do you bring trust and quality back to the MQL? Level-up your expectations.

So let's start with the definition. A prospect is not an MQL until three criteria are confirmed: they fit the ICP (right account, right title), they have a need for the product or solution the organization offers, and they are looking to act within the defined sales-cycle timeframe.

Until those three conditions are met, they are a prospect, not a lead. The distinction matters.

Marketing's job is to create prospects. SDR's job is to take those prospects, investigate the intent signal, and determine whether the criteria are met. When they are, a prospect becomes an MQL: a real commercial lead possibility, not just a name in the database. That handoff, from marketing-generated interest to SDR-confirmed qualification, is where the MQL earns its credibility. And it is where most organizations skip a step.

BDRs: The qualification bridge from Prospect to MQL

The step most organizations skip is the one that matters most: the human qualification layer between a marketing-generated prospect and a sales-ready lead.

Without it, prospects flow directly into the MQL bucket, and the three criteria that actually define a real lead (ICP fit, confirmed need, and timing) never get verified. That is how volume goes up and trust goes down.

A BDR brings commercial context to the prospect. They know the account history, the competitive landscape, the nuance of a conversation. Their role is to take the prospect signal, investigate, and prep the lead for sales readiness.

When expectations are calibrated correctly and BDRs see their role as prospect investigators and quality-gate protectors, MQL programs build trust instead of eroding it and the skeptics tend to become champions fairly quickly. Not because you convinced them with a slide deck, but because the metric started actually working.