The MQL Is Dead. Your Sales Team Killed It.

Here's a conversation that happens at every B2B company: Marketing says “we generated 200 MQLs last quarter.” Sales says “yeah, and none of them were any good.” Marketing pulls up the lead scores. Sales pulls up the close rates. Nobody agrees on what a good lead even looks like. Rinse, repeat, forever.

The MQL framework was supposed to bridge the gap between marketing and sales. Instead, it’s become the primary source of friction between them. And the worst part? Both sides are usually right.

A Marketing Qualified Lead is usually someone who hit an arbitrary threshold. They downloaded a whitepaper, visited the pricing page, and opened three emails. According to the lead score, they’re ready for sales.

Except they’re a student doing research. Or a competitor checking you out. Or someone who was vaguely curious but has zero budget and no authority to buy anything. The lead score doesn’t know any of this. It just counts behaviors.

The fundamental problem is that the MQL model confuses activity with intent. Someone who downloads five ebooks might just be a content hoarder. Someone who visits your pricing page might be benchmarking for a report. The behaviors that trigger MQL status — page visits, form fills, email clicks — correlate loosely with interest. They correlate poorly with readiness to buy.

And the threshold itself is arbitrary. Who decided that 100 points equals “sales-ready”? Somebody in a meeting three years ago, probably. Nobody’s validated it since. The score has no connection to actual revenue data because nobody went back and checked whether high-scoring leads close at higher rates than low-scoring ones.

Because they’ve been burned. They called the last 50 MQLs marketing sent over and 47 of them were tire-kickers, competitors, or people who didn’t remember filling out the form. After enough of those, sales develops an immune response to anything marketing sends them.

Can you blame them? Their commission depends on closing deals, not making courtesy calls to people who downloaded an ebook.

Here’s what happens next: sales starts generating their own leads. They work their network, go to events, send cold outreach. They stop trusting marketing’s pipeline entirely. Marketing, meanwhile, keeps optimizing for MQL volume because that’s what their dashboard measures. Both teams are working hard. Neither is working together.

This is the death spiral. Marketing optimizes for volume because that’s what they’re measured on. Sales ignores the volume because it’s low quality. Marketing generates more volume to compensate. Quality drops further. The cycle accelerates until someone calls a meeting to “align sales and marketing,” which usually means arguing about lead definitions for an hour and changing nothing.

If you want to see how broken your MQL system is, run this exercise. Pull your last 100 MQLs. Track how many became opportunities. Track how many closed. Then calculate the revenue per MQL.

Now compare that to your sales-sourced leads. Same metrics. Revenue per lead, close rate, average deal size.

In most companies we work with, sales-sourced leads close at 3-5x the rate of marketing-sourced MQLs. That doesn’t mean marketing is useless — it means the MQL model is measuring the wrong things.

The leads that do close from marketing usually share specific characteristics that have nothing to do with lead scores. They came from high-intent channels (product demos, pricing page visits, competitor comparison searches). They had the right job title at the right size company. They had a specific, articulable problem. None of those things show up in a typical lead scoring model.

The companies getting this right have stopped thinking about marketing and sales as separate teams with a handoff point. They’ve built revenue teams. Shared goals, shared metrics, shared accountability.

Marketing doesn’t throw leads over the wall and call it a day. Sales doesn’t work leads in a black box. Both teams see the same pipeline data. Both teams are accountable for revenue, not just their piece of the funnel.

This sounds like org design, and it is. But it starts with killing the MQL as your primary metric. As long as marketing is measured on lead volume and sales is measured on closed revenue, you’re incentivizing two teams to work at cross-purposes.

If this sounds like your company, here’s the playbook. First, run the lead autopsy described above. Get the actual data on MQL-to-revenue conversion. Show it to both teams. The numbers usually speak for themselves.

Second, define your Ideal Customer Profile with input from both marketing and sales. Not personas — actual firmographic and behavioral criteria that predict a deal.

Third, rebuild your reporting around pipeline and revenue, not lead volume. This is the hardest part because it means marketing might report smaller numbers for a quarter or two. Leadership needs to support that transition.

The fix isn’t a better lead score. It’s a better operating model. We help companies build campaign and analytics frameworks that measure what matters. It’s less glamorous than generating thousands of “leads.” It’s a lot more effective at generating revenue.