Nearly 90% of B2B marketing teams in a recent survey report marketing qualified lead (MQL) volume to leadership. Yet only 7% of those reporting it are confident the number predicts actual sales pipeline.
That finding, from a 2026 Heinz Marketing and Docket study of 192 marketing, demand generation, and revenue operations professionals, raises an uncomfortable question.
If the people producing the metric don't trust it, why are companies still using it to evaluate marketing performance?
The problem isn't necessarily that MQLs are worthless. It's that many organizations have built reporting, budgets, performance expectations, and sales processes around a number that tells leadership very little about whether revenue is actually being created.
A company can exceed its MQL target while missing its pipeline target. Marketing can celebrate record lead generation while sales complains about quality. Both teams can meet their individual objectives while the business misses its revenue goal.
That's not simply a marketing measurement problem.
It's a revenue performance problem.
Marketing qualified leads became popular for a practical reason. They gave companies a way to measure interest before an opportunity existed.
A prospect downloaded content, attended a webinar, visited particular pages, or reached a lead-scoring threshold. Marketing could assign a qualification status and demonstrate that its programs were producing something measurable.
For organizations investing heavily in digital marketing and marketing automation, this was a meaningful improvement over counting impressions, clicks, and website visits.
But somewhere along the way, the measurement became the objective.
Marketing teams were rewarded for producing MQLs. Campaigns were optimized to increase them. Dashboards highlighted volume and cost per lead.
Whether those leads became qualified pipeline was often someone else's metric.
That distinction matters.
An MQL is evidence of a marketing-defined qualification event. It is not, by itself, evidence that a buyer has a problem worth solving, an active purchasing initiative, or a reason to engage with sales.
And the difference becomes expensive when organizations confuse the two.
When pipeline falls short, the conversation often starts with sales blaming marketing for poor leads.
Marketing responds that sales isn't following up quickly enough.
Both explanations may be correct. Neither tells leadership where the revenue opportunity is actually being lost.
Consider three scenarios.
Scenario 1: Marketing produces the right buyers, but the handoff fails.
A qualified prospect requests information. The lead enters the CRM, but the routing rules assign it to the wrong representative. By the time someone responds, the buyer has moved forward with another vendor.
Marketing generated demand. The revenue process failed to capture it.
Scenario 2: Marketing reaches its MQL target, but the buyers aren't qualified.
Campaigns attract contacts who match engagement criteria but don't match the company's ideal customer profile. Sales reviews the records and finds little reason to pursue them.
The organization generated activity, but not enough commercially relevant demand.
Scenario 3: Sales accepts the leads, but opportunities don't progress.
The leads meet the agreed qualification standard. Sales accepts them and creates opportunities. Yet those opportunities repeatedly stall before reaching a serious buying decision.
The problem may be positioning, competitive fit, qualification depth, buying complexity, or sales execution.
Increasing MQL volume won't necessarily resolve any of these problems.
The right response depends on identifying where conversion breaks down.
Replacing MQLs with a different volume metric won't solve the problem if the underlying handoffs remain unchanged.
A stronger approach measures the progression from identifiable demand to qualified pipeline and ultimately revenue.
For most B2B organizations, five measurements provide a more useful starting point.
Before a lead is labeled qualified, what does the organization actually know?
Qualification should go beyond a form submission or engagement score.
Depending on the sales motion, meaningful evidence might include:
Not every buyer will provide all this information immediately. Early-stage demand and active buying intent should not be treated as identical.
The objective is to distinguish interest from evidence of a potential sales opportunity.
What percentage of marketing-qualified leads does sales actually accept for follow-up?
And just as importantly, why are leads rejected?
In the 2026 Heinz Marketing and Docket study, 78% of respondents reported that their organizations' sales teams reject more than half the MQLs marketing sends.
That should concern any revenue leader.
But rejection rates alone don't identify the cause.
A lead may be rejected because it is outside the target market, lacks sufficient context, is a duplicate, belongs to an existing account, or has been routed incorrectly.
Organizations need consistent rejection reasons that allow marketing, sales, and revenue operations to identify patterns.
Without that information, lead acceptance becomes another score that departments argue about rather than a tool for improvement.
How quickly does a qualified inquiry reach the right person?
And does the response address what the buyer actually needs?
A company may report excellent lead assignment times while prospects still wait hours or days for meaningful engagement.
Automated acknowledgments are not the same as useful responses.
Measure the time between inquiry, assignment, first meaningful contact, and the next appropriate sales action.
Then examine response quality.
Did the representative understand what prompted the inquiry? Was the response relevant? Did the buyer receive a useful next step?
Fast, generic follow-up can be nearly as frustrating as slow follow-up.
As we've explored in How Broken Lead Routing Costs B2B Companies Revenue, improving lead conversion often requires examining the entire handoff, not just the routing technology.
Of the leads sales accepts, how many become legitimate sales opportunities?
This is where marketing performance begins connecting more directly to revenue creation.
But an opportunity should mean something.
If sales representatives create opportunities simply to satisfy activity goals, pipeline reporting becomes no more reliable than MQL reporting.
Define the minimum evidence required to create a qualified opportunity, and apply that standard consistently.
Then measure conversion by source, customer segment, campaign, and sales team.
A channel generating 50 leads and 15 qualified opportunities may be more valuable than one generating 500 leads and five qualified opportunities.
Raw lead volume would suggest the opposite.
The analysis should also consider opportunity value, cost, sales cycle, and eventual revenue.
For a broader look at where opportunities stall, see How to Analyze Your Sales Pipeline and Find Revenue Bottlenecks.
Ultimately, are the company's demand-generation investments contributing to revenue?
That doesn't mean assigning every dollar of revenue to a single marketing touch.
B2B buying journeys rarely work that way.
Buyers research independently, engage with multiple sources, involve additional stakeholders, and return to vendors through different channels.
Marketing contribution should be evaluated using consistent attribution rules, qualified pipeline creation, opportunity progression, win rates, and closed revenue.
The objective isn't to give one department credit.
It's to understand which activities and processes contribute to profitable growth.
Instead of eliminating MQL reporting overnight, start by putting it in context.
| Measurement | What leadership learns |
|---|---|
| MQL volume | How much marketing-defined interest was generated |
| Qualification evidence | Whether the records contain actionable buyer information |
| Sales acceptance rate | Whether sales considers the leads worth pursuing |
| Speed to meaningful follow-up | Whether buyers receive timely attention |
| Qualified opportunity conversion | Whether accepted demand becomes credible pipeline |
| Qualified pipeline value | How much potential revenue is being created |
| Closed-won revenue | Whether those opportunities ultimately produce business results |
The value comes from connecting these measurements.
For example, imagine a company generates 1,000 MQLs in a quarter.
Sales accepts 400, but only 80 become qualified opportunities.
If leadership sees only the MQL number, it may conclude that marketing is performing well.
If it sees the entire progression, it can ask better questions.
Why were 600 leads not accepted? What distinguishes the 80 opportunities that converted? Did certain sources perform better? Were high-fit inquiries contacted quickly? Were the opportunities large enough and qualified well enough to support the revenue target?
Those questions can lead to operational improvements.
Simply increasing the MQL target from 1,000 to 1,200 may not.
The consequences of weak marketing measurement don't stop at the handoff.
They extend into pipeline planning, hiring decisions, spending priorities, and revenue forecasts.
Consider a business that assumes a predictable percentage of MQLs will become opportunities.
If qualification standards change, lead sources shift, or sales acceptance deteriorates, the historical conversion assumption may no longer hold.
Yet the organization may continue using it to project future pipeline.
The forecast can look mathematically sound while resting on unreliable assumptions.
This is why forecast reliability begins with the quality and consistency of the underlying revenue process.
A company cannot reliably predict revenue if it cannot explain how demand becomes qualified pipeline.
You don't need to replace your CRM, purchase another attribution platform, or redesign every dashboard to determine whether your MQL process is working.
Start with the evidence already available.
Select a representative group of recently generated MQLs, ideally from a period long enough ago for the normal sales cycle to produce meaningful outcomes.
Trace each record through the revenue process.
Determine whether it matched the target customer profile, what qualification evidence existed, whether sales accepted it, how quickly and appropriately it was contacted, and what happened next.
Then compare the results across lead sources, segments, and sales teams.
Look for concentration.
Are certain campaigns producing high volumes but poor acceptance? Are qualified leads disappearing in routing? Are opportunities created but rarely advancing? Are conversion rates inconsistent because teams use different definitions?
Some findings may point to marketing strategy. Others may point to sales execution, process design, data quality, or technology configuration.
The purpose isn't to assign blame.
It's to identify the constraint that has the greatest effect on revenue.
There is nothing inherently wrong with tracking marketing qualified leads.
MQLs can still provide useful information about campaign engagement, early demand, and the efficiency of lead-generation programs.
But they should not be the primary evidence that marketing is contributing to business growth.
The more important questions are whether the organization is reaching the right buyers, recognizing meaningful demand, connecting those buyers to sales effectively, and converting qualified opportunities into revenue.
If leadership doesn't have reliable answers, another marketing dashboard is unlikely to solve the problem.
The company needs to understand what's happening across its revenue system.
And that starts by questioning the numbers everyone has grown accustomed to reporting.
If your company generates leads but struggles to convert them into predictable pipeline, the problem may not be lead volume.
It may be qualification, routing, sales acceptance, follow-up, opportunity conversion, or the way performance is measured.
Sitera Consulting's Revenue Performance Diagnostic examines the connected factors influencing revenue performance to identify where growth is getting stuck.
Find the handoff and measurement gaps preventing inbound demand from becoming qualified pipeline.
Explore the Revenue Performance Diagnostic
Research source: Heinz Marketing and Docket, The MQL Trust Gap: Why Inbound Is Breaking at Every Handoff, October 2026. Survey of 192 marketing, demand generation, and revenue operations practitioners. Read the research summary.