> ## Content Index > Fetch the complete content index at: https://www.productmarketingalliance.com/llms.txt > Use this file to discover other available public pages before exploring further. # How PMM leaders get measured, and why most of them are tracking the wrong things - URL: https://www.productmarketingalliance.com/how-pmm-leaders-get-measured/ - Published: 2026-06-09T10:51:00.000Z - Updated: 2026-06-09T10:51:00.000Z - Description: Are you measuring the right PMM metrics? Learn why top product marketing leaders focus on influence rather than deliverables. - Author: Charley Gale - Tags: Leadership, Metrics & OKRs, Articles, #membership Product marketing's measurement problem has never been a lack of impact. The impact is real, it's just spread across the organization in ways that don't fit neatly into a single report. PMM influence shows up in win rates, pipeline quality, product direction, and retention numbers. None of those live in one dashboard, which means PMM leaders constantly have to make the case for work that other functions claim credit for. The latest [**State of Product Marketing report**](https://www.productmarketingalliance.com/state-of-product-marketing-report-2026/) shows how fragmented this picture has become. When asked what KPIs their teams are evaluated against, PMM leaders named 16 different metrics, with [go-to-market strategy](https://www.productmarketingalliance.com/your-guide-to-go-to-market-strategies/) and new revenue generation topping the list at **53.91%** each. Win rate improvement came in at **38.28%**. [Customer retention](https://www.productmarketingalliance.com/customer-retention-metrics-framework/) at **32.03%**. Further down: [sales confidence](https://www.productmarketingalliance.com/6-steps-to-measure-and-improve-sales-confidence/) at **25.39%**, asset utilization at **21.48%**. Then there's the number that should concern anyone managing or reporting into a PMM team: **13.28%** of teams have no defined KPIs at all. > **Tom Crist, Principal and Head of Consulting Practice at Fluvio**, sees the measurement question as having three clear answers. "Revenue impact, timely delivery, and [retention](https://www.productmarketingalliance.com/customer-retention-survey-framework/)," he says. "[Product marketing teams](https://www.productmarketingalliance.com/how-are-modern-day-product-marketers-leading-product-marketing-teams/) benefit from being tied to business results, must be held accountable to plans (as they hold others accountable to their elements of [GTM](https://www.productmarketingalliance.com/building-a-rock-solid-gtm-plan/)), and benefit from the experience of product marketers with extensive time in their current seat." That framing, tying PMM accountability directly to business outcomes, cuts against how many teams still measure themselves. Take content volume, MQL counts, and launch timelines. These aren't meaningless, but they're also not the metrics that win budget conversations or reshape how a function is perceived. ## The gap between what's tracked and what matters > **Erin Stephan, Head of Product Marketing at Aqua Security**, puts the core issue plainly: "PMM leaders should be measured on their ability to influence the metrics the business ultimately cares about, not on the volume of deliverables produced." The deliverables vs. outcomes distinction runs through most of the measurement failures in PMM. A team that tracks how many assets it produces, how many launches it runs, and how many blog posts go live is essentially measuring its own activity. That's useful for internal capacity planning. And yet, more importantly, it doesn't tell anyone outside the function what PMM is worth. > Erin describes what good PMM infrastructure produces: "A strong PMM leader puts the right systems in place, including clear [ICP](https://www.productmarketingalliance.com/how-to-determine-your-ideal-customer-profile/) definition, differentiated [messaging](https://www.productmarketingalliance.com/your-guide-to-messaging/), [tiered launch frameworks](https://www.productmarketingalliance.com/product-launch-tiers-framework/), and scalable enablement, and ensures those systems are adopted across teams. When PMM leadership is effective, execution becomes more consistent, launches become more predictable, and teams are aligned around the same story." The problem with MQL volume as a primary metric, still tracked by **41.80%** of teams, is that it can move in the wrong direction for the right reasons. A sharper [ICP](https://www.productmarketingalliance.com/how-target-audience-icp-and-personas-guide-product-marketing-strategies/) definition might reduce the volume of [inbound](https://www.productmarketingalliance.com/unleash-growth-with-inbound-marketing/) leads while raising win rates and deal size. If a PMM leader is being evaluated on MQL count, that improvement reads as failure. The measurement approach that makes sense instead is isolating influence. Track [win-rate](https://www.productmarketingalliance.com/everyones-a-winner-improving-your-win-rates-with-stellar-win-loss-programs/) delta before and after a [positioning](https://www.productmarketingalliance.com/positioning-statement-template-framework/) update. Measure [churn](https://www.productmarketingalliance.com/churn-rate-cheat-sheet-template-framework/) reduction following a change in [onboarding messaging](https://www.productmarketingalliance.com/role-of-messaging-in-user-onboarding/). Neither of these claims that PMM owns the outcome, but they do show that product marketing work changed a number that the business cares about. ## What the data is actually telling you The **25.39%** of teams tracking [sales confidence](https://www.productmarketingalliance.com/sales-confidence-survey-questions-framework/) and the **21.48%** tracking asset utilization are measuring something most PMM functions ignore: whether their work is being used. Sales confidence, tracked via quarterly surveys asking reps to rate their ability to pitch a new [value prop](https://www.productmarketingalliance.com/value-proposition-framework-template/) on a 1-10 scale, is a leading indicator. If reps don't believe in the positioning, close rates will eventually show it. Asset utilization (tracked through tools like Highspot or Seismic) answers a different version of the same question: is the content reaching customers, or disappearing into a shared drive? The reporting pattern that tends to define how PMM is perceived inside an organization falls into three broad categories. - **Board-level metrics**, things like revenue attributed to specific GTM initiatives, pipeline contribution by ICP segment, and competitive displacement rates, are the ones that belong in executive conversations. - **Commercial influence metrics**, sales confidence, enablement adoption, and asset usage show whether the revenue team is executing better because of PMM's work. - **Operational metrics**, launch timelines, web traffic, and content output are useful internally but shouldn't dominate external reporting. A team where **80%** of its reporting is operational tends to get treated as a service function. The composition changes how leadership sees the team's role. ## Narrative is what gives the numbers weight > Erin Stephan frames the broader goal clearly: "Because PMM does not own these outcomes directly, measurement needs to reflect influence rather than attribution. That alignment is what ultimately drives improvements in sales effectiveness, [adoption](https://www.productmarketingalliance.com/product-adoption-framework/), and long-term growth, and that is how PMM leadership should be evaluated." Getting that case across to an executive audience requires more than accurate data. It requires a narrative that connects the data to a decision the business is actually weighing. There's a meaningful difference between reporting that a [messaging framework](https://www.productmarketingalliance.com/product-messaging-framework-template/) was refreshed and explaining that the new positioning drove an 11% increase in win rates in a specific vertical because it addressed what the economic buyer was worried about, rather than what the end user wanted. The first gets noted and moved past. The second invites questions, repositions PMM as a strategic contributor, and makes the outcome legible to people who don't spend their days thinking about positioning. The cases that reshape how leadership perceives PMM tend to look like this: identifying that churn was driven by onboarding confusion rather than [pricing](https://www.productmarketingalliance.com/pricing-packaging-pricing-roadmaps-to-help-grow-revenue/), then showing how that insight changed where product invested, how CS was resourced, and what the [retention strategy](https://www.productmarketingalliance.com/how-to-retain-more-customers/) became. That's PMM's fingerprints on a business outcome, without claiming direct ownership of the result. As [AI tools](https://www.productmarketingalliance.com/pmm-powerhour/best-ai-tool-for-which-job/) take on more of the generative work that has historically occupied PMM bandwidth, the value in PMM leadership shifts toward that kind of pattern recognition. Dashboards, competitive summaries, and performance reports are increasingly easy to produce automatically. What requires a person is the judgment call about which signal matters right now, and which insight changes the frame for how leadership is thinking about a problem. The leaders who do this consistently, who bring both the numbers and a clear account of what those numbers mean for decisions the company is making, build a reputation that extends well beyond the marketing function. They become the people the business turns to when it needs to understand why something isn't working.