top of page

MQLs are the hangover: Why marketing should stop celebrating leads and start building pipeline

  • Mar 23
  • 9 min read

For years, marketing teams have had a favourite party trick.


Take a person. Watch them click on a few things. Maybe they download a guide, attend a webinar, glance at a pricing page, or fill in a form because they were cornered by a decent headline and a mild identity crisis. Add some points. Push them over a threshold. Then declare, with a straight face, that they are now “qualified”.


Cue the applause. Cue the dashboard. Cue the monthly report proudly announcing a rise in MQLs as if the revenue team should be popping champagne.


And then, as usual, the hangover arrives.


Because many of those leads do not become pipeline. Many do not become conversations worth having. Many were never serious buying signals in the first place. They were just activity. Nicely packaged activity, perhaps. But still activity.


That is the problem.


Marketing has spent years rewarding itself for creating moments that look like progress instead of conditions that actually lead to revenue. The result is a lot of businesses still measuring demand with a model that feels tidy, looks familiar, and increasingly tells them absolutely nothing useful.


If lead scoring is cosplay, then the MQL is the morning after. It is the consequence of believing the costume was real.



The MQL made sense once. That time has passed.


To be fair, the MQL was not invented by idiots.


It came from a reasonable desire to create order. Sales teams needed a way to separate random names from people showing signs of interest. Marketing teams needed a way to prove they were doing more than sending emails and fiddling with landing pages. Leadership wanted a metric that looked like a bridge between activity and pipeline.


So the MQL was born. A neat little handoff point. A moment where marketing could say, “Here you go, this one looks promising,” and sales could at least pretend to believe them.


The problem is that modern buying no longer behaves in a way that makes this model particularly trustworthy.


Buying is rarely driven by a single person. It is messy, delayed, political, often irrational, and usually spread across multiple stakeholders who do not all leave the same digital breadcrumbs. The person who fills in the form is not always the one with budget. The person researching solutions is not always the one making the decision. The loudest signal in your system is often not the most commercially meaningful one.


So the contact that becomes an MQL may be the least important person in the room. Or worse, there may not even be a room yet.


That is where the model starts to crack.


Because while buying happens at account level, many marketing teams are still measuring success at contact level and acting surprised when the story does not hold together.



A lot of MQLs are just reporting events dressed up as buying signals


This is the real issue, and it is worth saying plainly.


An MQL often tells you that a person did something trackable.


It does not reliably tell you that an account is becoming buyable.


Those are two very different things.


A person downloading an asset is a trackable event. A person attending a webinar is a trackable event. A person clicking around your site three times in a week is a trackable event. Useful, maybe. Interesting, perhaps. But still not the same as a buying condition emerging within an account.


And yet businesses continue to build dashboards, goals, routing logic, and team incentives around exactly those kinds of moments.


This is where the wheels start to come off.


Marketing celebrates lead volume. Sales sees weak conversion. SDRs work lists they do not trust. Revenue leaders start asking why “qualified” leads are not turning into genuine opportunities. Marketing responds by refining the scoring model, tweaking the thresholds, and adding even more detail to the reporting.


Which is a bit like trying to fix a bad haircut by measuring it more precisely.


The problem is not always that the system lacks sophistication. Quite often, the problem is that the system is classifying the wrong thing.


A reporting event helps explain activity. A buying signal helps you decide where commercial effort should go.


Too many businesses confuse the two.



Discover our Podcast
Discover our Podcast

Easy to count has become more important than useful to know


This is one of the less glamorous reasons so many demand models quietly fail.


It is far easier to count an individual conversion than it is to interpret account-level momentum. It is far easier to report a lead threshold than it is to understand whether a buying group is forming. It is far easier to tell the board that MQL volume is up 23 percent than it is to say, “We are seeing stronger commercial movement in accounts that match our best-fit profile and show genuine timing pressure.”


One sounds neat. The other sounds like actual work.


So guess which one most businesses default to.


Marketing has been rewarded for what is visible, not necessarily for what is meaningful. That would be tolerable if the visible thing still behaved like a useful proxy for pipeline. In many cases, it no longer does.


A single person from a target account engaging with content may mean nothing. Three stakeholders from the same account arriving within a short period, each looking at different pieces of decision-stage content, probably means a lot more. An implementation-related conversation means more than a webinar registration. A pricing discussion means more than a content download. A security review means more than someone clicking a nurture email while avoiding a meeting.


The point is not that engagement is irrelevant. The point is that engagement without context is flimsy. And a flimsy signal should not be carrying the weight of your demand strategy.



The MQL has become a permission slip for optimism


That sounds harsh, but it is often true.


In many organisations, the MQL is not a robust qualification model. It is simply the point at which marketing is allowed to feel good about itself.


The lead crossed the line. The number moved. The target was hit. Everyone can now behave as though progress has occurred.


This is comforting. It is also dangerous.


Because once the metric becomes emotionally important, it stops being challenged properly. Teams begin defending the existence of the MQL rather than asking whether it still reflects how buying works. Sales gets blamed for weak follow-up. Campaign teams get asked for more volume. SDR teams get told to work harder. Nobody wants to say the obvious thing, which is that a lot of this so-called qualification may have very little to do with commercial readiness at all.


And that is how businesses end up running entire revenue motions around glorified hand-raisers.



Marketing does not need more lead theatre. It needs a better operating model.


The answer is not to replace MQLs with chaos. Nor is it to delete every lifecycle stage and start speaking in mystical revenue riddles.


What is needed is a shift in what marketing is actually trying to identify and influence.


Instead of asking, “When is this lead qualified?” the better question is, “What conditions suggest this account is moving closer to a real buying decision?”


That changes everything.


It changes what you measure.


It changes what you route.


It changes what sales trusts.


It changes how campaigns are judged.


It also nudges marketing into a much more commercially useful role, which is long overdue.


Because marketing’s job is not just to generate names. It is to create movement. To increase the likelihood that the right accounts engage, progress, and enter sales conversations with something resembling genuine intent.


That is a more serious job than producing a pile of contacts and calling it pipeline.



What should replace MQL obsession?


Not a single new acronym, thankfully. The world does not need another one.


What it does need is a model built around commercial conditions rather than arbitrary thresholds.


That starts with account fit. Real account fit, not fantasy ICP nonsense where half the market somehow qualifies as ideal. Good fit should reflect whether the account has the right level of complexity, the right kinds of pain, the right operational reality, and the right commercial shape for your business to win and serve well. Fit should be a gate, not a decorative line in a strategy deck.


Then there is buying-group emergence. One person engaging is a weak signal. Several relevant stakeholders showing up from the same account in a pattern that suggests evaluation is something else entirely. That is where things begin to get interesting. Not because it guarantees a deal, but because it starts to resemble the way decisions are actually made.


Next comes timing pressure. This is one of the most underused and most commercially important pieces of the puzzle. Why now matters more than almost everything else. A replatforming plan, a looming renewal, an internal re-org, reporting chaos, a change in leadership, a compliance deadline, a broken process, a strategic mandate, these are the conditions that create movement. Someone downloading a whitepaper does not create urgency. It may simply indicate boredom between meetings.


And finally, there are progression signals with actual weight behind them. Meetings involving multiple stakeholders. Implementation conversations. Commercial discussions. Timeline questions. Security reviews. Requests for technical validation. Internal language shifting from casual curiosity to practical decision-making. These are not perfect either, but they are much harder to fake. They also cost the buyer something, which is usually a very good sign.


This is where marketing should be focusing its attention. Not on whether a lead scored 74 instead of 71. Not on whether a form fill should count double if it came from paid social. Not on endlessly polishing a framework that was built for a simpler buying environment and now survives mostly because everyone knows where it lives in the CRM.



Discover our AI Coworker
Discover our AI Coworker

This is also why sales and marketing keep annoying each other


The MQL model does not just distort measurement. It distorts trust.


Marketing says it delivered qualified leads. Sales says those leads are rubbish. Marketing says sales is ignoring good demand. Sales says marketing is measuring engagement, not intent. Then both sides sit in a meeting staring at the same funnel with completely different levels of faith in it.


It is a deeply inefficient way to run a revenue team.


The deeper issue is that both sides are often reacting sensibly to a broken shared model. Marketing has been taught to optimise for visible conversion. Sales has been trained by experience to be sceptical of anything that looks too easy. The result is a constant tension between volume and credibility.


A better model lowers that tension.


If both teams are aligned around account fit, buying-group activity, timing pressure, and commercially meaningful progression, the conversation gets healthier fast. Marketing is no longer defending a pile of shiny contacts. Sales is no longer rolling its eyes every time a dashboard says pipeline is “warming up”. Both teams are looking at the same kinds of signals and asking the same practical question: is this account moving in a way that deserves serious effort?


That is a much better conversation to have.



You do not necessarily need to kill the MQL. But you should absolutely demote it.


Some businesses will still need an MQL stage for workflow reasons. Fine. Use it as an internal signal if you must. Use it to trigger routing. Use it to mark a point in a process. Use it because your systems are held together by string and inherited logic and you cannot rip it all out in one go.


But stop treating it like the headline metric for marketing contribution.


That is where the damage happens.


An MQL can still exist without being worshipped. It can be a checkpoint, not a trophy. It can serve operations without pretending to represent commercial truth.


The trouble starts when businesses build their whole demand story around it.


Because the story that matters is not whether marketing produced more qualified leads this quarter. The story that matters is whether marketing improved the conditions that make pipeline more likely in the accounts that actually matter.


That is a much stronger claim. It is also much harder to fake.



The next era of demand generation will be less flattering and more useful


That is probably for the best.


The old model produced very pretty dashboards. It also produced an awful lot of false confidence. Teams could point to rising lead volumes while pipeline quality quietly sagged underneath. Targets got hit. Reports got written. Revenue teams kept wondering why all this apparent demand still felt so anaemic in the real world.


The businesses that move fastest now will be the ones willing to let go of neat-but-empty metrics and get more honest about what buying actually looks like.


That means less worship of individual conversions.


Less obsession with lead thresholds.


Less applause for activity that happens to be easy to track.


More attention to account movement.


More weight given to urgency and buying conditions.


More focus on signals that indicate real commercial effort from the buyer side.


In other words, less theatre. More evidence.


That may make some dashboards uglier for a while. Good. Ugly truth is still better than polished nonsense.



Stop asking how to generate more MQLs


That is the wrong question now.


The better question is this: How do we help more of the right accounts become sales-ready in ways that look like deals we actually win?


That question forces a more grown-up strategy. It pushes marketing closer to revenue. It exposes weak measurement. It sharpens targeting. It improves alignment with sales. And, perhaps most importantly, it stops teams mistaking form fills for progress.


Because the brutal truth is that many MQLs were never a sign of momentum. They were just the easiest thing to celebrate.


And marketing has celebrated enough easy things.


It is time to build pipeline instead.


Need help with that? Let's talk...


Discover our Services
Discover our Services

Our Customer Case Studies

Sojourn Solutions logo, B2B marketing consultants specializing in ABM, Marketing Automation, and Data Analytics

Sojourn Solutions is a growth-minded marketing operations consultancy that helps ambitious marketing organizations solve problems while delivering real business results.

MARKETING OPERATIONS. OPTIMIZED.

  • LinkedIn
  • YouTube

© 2026 Sojourn Solutions, LLC. | Privacy Policy

bottom of page
Clients Love Us

Leader