I don’t give a damn about your MQLs!

The email landed in my inbox on a Tuesday: "We're up to 1,200 MQLs this month. Best quarter ever."

I didn't respond right away. I sat with it for a moment, eye twitching.

Fifteen +++ years of demand generation has taught me to recognize the sound of a metric that feels good but means almost nothing. MQLs (Marketing-Qualified Leads) are that metric. They always have been. And the fact that they're still the primary KPI for marketing leaders in 2026 tells me something important: we've built an entire industry on a measurement that optimizes for theater, not revenue.

This is the argument that will make some marketers uncomfortable. Good. Discomfort usually means we're close to something true.

The Historical Lie We're Still Living With

MQLs became a standard because they solved a sales-marketing alignment problem that existed decades ago. When marketing was young and unmeasured, sales teams had no way to know if marketing was actually producing viable work or just burning budget. So marketing said, "We'll define a lead as qualified if it hits these criteria: title X, company size Y, engagement level Z. That's when a lead becomes yours, sales. That's when it's our success."

Sales agreed. Marketing got credit for volume. The metric stuck.

And now we're here, 15 years later, running frameworks built on a compromise from an era when we had no other choice.

The problem isn't that MQLs are a bad idea in isolation. The problem is that they're a proxy metric masquerading as a business metric. They don't tell you anything about revenue. They don't tell you whether a prospect will ever convert. They tell you whether someone clicked something and filled out a form and happened to work at a company big enough to meet your size criteria.

And here's what most marketing leaders won't admit: you can hit MQL targets while driving absolutely nothing of value.

The Alignment Illusion

MQLs create a particular kind of chaos. They create the illusion of alignment while destroying actual alignment.

When you measure marketing by MQL volume, you optimize for volume. You find ways to generate more leads that technically meet the definition, regardless of whether sales wants them. You create lead scoring models that are generous enough to hit targets. You adjust criteria downward when you're short. You game the metric in small ways that feel reasonable in the moment and compound into major problems.

Meanwhile, sales is discarding 70 percent of your MQLs because they're not actually sales-ready. Sales has stopped trusting marketing's qualification because the criteria doesn't predict intent or fit or timing. Sales is working the leads they believe in, which are increasingly coming from other sources.

And everyone at the company thinks there's an alignment problem.

There isn't an alignment problem. There's a measurement problem.

When your metric doesn't correlate to the outcome you actually care about (revenue), your teams will work against the metric. It's not because they're misaligned. It's because they understand that your metric is wrong, even if they don't say it out loud.

What Actually Drives Revenue

Let me give you the metrics that matter.

Pipeline velocity. How fast do leads move through your sales cycle? If you're generating 1,200 MQLs a month but your pipeline velocity dropped 30 percent, you've solved nothing. In fact, you've probably made things worse by flooding sales with unqualified noise.

Pipeline coverage. How many months of pipeline are you carrying relative to your revenue target? This is the actual demand generation question. Not "How many leads did we generate?" but "Did we generate enough qualified opportunity to hit the number?"

Deal conversion rate, by source. Not how many leads we passed to sales. What percentage of the opportunities that actually made it into sales forecasting converted to deals? This tells you whether a lead source produces real, viable opportunity.

Win rate, by source. Did the customer stay? Are we bringing in customers who expand or churn immediately? Because a demo that closes fast but never buys again isn't a success for marketing. It's a failure disguised as a win.

Pipeline quality: average deal size and cycle length. This is where marketing and sales actually start to talk about real problems. If pipeline from one source has longer cycle times and smaller deal sizes, that's a conversation worth having. That's alignment.

These metrics are harder to own. They require coordination with sales. They move slowly and don't give you the dopamine hit of daily vanity wins. But they're the only metrics that connect marketing's work to revenue.

And yes, marketing should own them.

The Framework for Getting There

If you're a marketing leader in an organization that's still running on MQL metrics, here's how to make the transition without burning your credibility or your career.

Start by doing the forensic work internally. Pull your data. Find the correlation between MQL volume and actual pipeline. Find the correlation between MQLs and conversion rates. Be honest about what you find. Most organizations will discover what I found: very little correlation. When you show sales leaders that data, you've done something important. You've stopped defending a metric and started asking a real question.

Next, work with sales to redefine what "qualified" means. Not in theory. In practice. What does sales see in a prospect before they believe it's worth their time? What pattern has historically predicted conversion? This is going to make you uncomfortable because sales doesn't always have good answers. That's okay. Work with them to find them.

Then build lead scoring models that measure those signals. You'll probably end up with fewer leads coming to sales, but a much higher percentage that actually convert. That's not a problem. That's a solution.

Stop using MQL volume as your marketing KPI. Use pipeline generated as your primary metric. Work backward from that. Figure out what volume of leads you need, at what quality level, to hit your pipeline target. Then measure whether you're doing that. This reverses the incentive structure completely. Now you're optimizing for the outcome that sales cares about.

Communicate this transition to your organization with one message: marketing's job is not to generate leads. Marketing's job is to generate revenue. Everything else is just a tactic.

The Operational Piece Nobody Mentions

There's also an operational reason to move away from MQLs, and it matters more than most people acknowledge.

MQL-based organizations tend to be chaotic. You're managing hand-off processes, arguing about lead ownership, defending qualification criteria, and spending an enormous amount of time in "is this an MQL?" conversations that don't move toward revenue.

Pipeline-based organizations have less friction. Sales and marketing are working toward one shared number. You're both focused on the same leading indicator. Disagreement becomes easier to resolve because you're arguing about data that actually matters.

This also changes your hiring. If you're building a marketing operations team, and your primary job is managing MQL volume and lead routing, you're hiring for process management. If your primary job is generating pipeline, you're hiring for analysis and optimization. One role is tactical. One role is strategic.

The Thought Leadership Piece

This conversation isn't really about metrics. It's about whether marketing is willing to be held accountable for revenue, or whether we're going to keep hiding behind proxy metrics that make us feel productive without making the business successful.

If you're a marketing leader, I'll tell you the same thing I tell myself: the hard metrics are harder. But they're also the ones that protect your position. They're the ones that let you sit in the room when business strategy gets discussed. They're the ones that make you a peer to sales and finance, not a cost center that sales tolerates.

MQLs will probably still be around in 2030. Some organizations will still be measuring them, still celebrating volume, still wondering why sales doesn't believe in the leads they're passing over.

But the leaders who move first, who transition now to pipeline-focused measurement, who actually own revenue, they'll be the ones shaping how marketing gets measured for the next decade.

That's the only metric that matters.

What metrics is your marketing organization actually optimizing for? Are they connected to revenue? I'm interested in how leaders are approaching this transition. Reach out if you want to discuss how to move your team from vanity metrics to real accountability.