Demand genMQLPipelineReporting

The MQL is a peace treaty, not a metric

Avishai Sam Bitton 5 min read

The argument

The MQL exists to settle an internal dispute about effort. It was never designed to predict revenue, and it does not.

The marketing qualified lead was invented for a reasonable purpose. Sales said marketing sent junk. Marketing said sales did not follow up. Somebody proposed a threshold, both sides agreed to it, and the argument stopped. That is genuinely useful. It is also the entire origin story, and it explains everything wrong with how the number is used now.

An MQL is a definition of when marketing is allowed to stop caring. It is a handoff marker. Somewhere along the way it became a target, then a board metric, and now it is the number that determines budget for a function whose job is to create demand rather than count form fills.

The arithmetic nobody puts on the slide

Take a plausible mid market SaaS quarter: 900 MQLs, of which 620 are content downloads, 190 are webinar registrations, and 90 are demo requests. Sales works the list and books 74 meetings. Of those, 68 came from the 90 demo requests.

Worked example

Where the pipeline actually came from

One quarter, 900 MQLs, reported as a single number to the board.

Content and webinar MQLs
810 leads, 6 meetings
Demo requests
90 leads, 68 meetings
Blended MQL to meeting rate
8.2 percent
Actual conversion of the segment that matters
76 percent

Result: The blended number is a fiction produced by averaging two populations that have nothing in common. Reporting it as one metric guarantees the wrong optimisation.

If you set a target of 1,100 MQLs next quarter, you already know which lever gets pulled. Nobody triples inbound demo requests in ninety days. They gate another report and buy more traffic, and the number goes up while pipeline stays flat.

Every metric that averages two different populations will be gamed by whichever population is cheapest to grow.

What the MQL hides

  • Intent. A person who asked to speak to you and a person who wanted a PDF are not the same person, and no scoring model reliably tells them apart after the fact.
  • Timing. Most of the market is not buying this quarter. Counting them as leads makes an audience problem look like a conversion problem.
  • Everything unmeasured. The buyer who read three of your pages, heard you mentioned in a community, and typed your name into a browser six weeks later shows up as direct traffic and gets no credit.

The two numbers I would report instead

  1. 1

    Hand raisers, counted honestly

    Demo requests, pricing enquiries, trials that reached activation, inbound replies that asked for a call. One number, no scoring model, no blending with content downloads. This is the closest thing marketing has to a real time demand signal.

  2. 2

    Qualified pipeline created, dated to creation

    The currency finance already speaks. Date it to when the opportunity was created rather than when it closed, so you are measuring this quarter's marketing rather than last year's.

Everything else is diagnostics. Traffic, downloads, engaged accounts and impressions all belong in the working dashboard where the team makes decisions. None of them belongs in front of a CFO, because none of them survives the follow up question.

The objection, and the answer

The usual pushback is that hand raisers are too few to manage a team against. Ninety a quarter is not a dashboard, it is a list. That objection is correct and it is the point. If your demand signal is small enough to read line by line, read it line by line. You will learn more in an hour of reading demo request comments than in a month of cohort charts.

The volume metric feels safer because it moves smoothly and always has an explanation. Smooth numbers are comfortable precisely because they are disconnected from a market that does not move smoothly at all.

What I would do Monday

  1. 1Pull last quarter's MQLs and calculate what share became a first meeting. If it is under 10 percent, the definition is the problem.
  2. 2Split the number into hand raisers and everything else, and report the two separately from now on.
  3. 3Agree one shared definition of a qualified opportunity with sales, in writing, this week.
  4. 4Add self reported attribution to your demo form and read it before you read the dashboard.

Who wrote this

Avishai Sam Bitton

Founder, DemandBox

Avishai runs demand generation programs for B2B SaaS companies across performance marketing, SEO, and answer engine optimization. He works directly with the teams he advises, with no account managers in between.

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The long version

Demand Generation vs Lead Generation: The Practical Difference

What each term means, how the metrics differ, the gating math behind form fills, and how to move board reporting from lead counts to pipeline.