Marketing Week’s 2026 Career & Salary Survey landed last week with a number that should stop you mid-scroll: 42.1% of marketers say measuring marketing effectiveness is their biggest knowledge gap. Not a minority problem. Not a junior-team problem. Nearly half the profession, by their own admission, cannot tell their CFO which spend is working.
If you’re a VP or CMO trying to defend your budget in a difficult trading environment, that statistic is either irrelevant to you or it’s the most relevant thing you’ll read this week. There’s rarely a middle ground.
The Budget You Can’t Defend Is the Budget That Gets Cut
The Wanamaker problem, that half of advertising spend is wasted but you don’t know which half, has been quoted for over a century because it has never really been solved at scale. What’s changed is the tolerance for ambiguity. Boards that were willing to accept brand spend as a necessary act of faith in 2021 are now demanding attribution, contribution to pipeline, and cost-per-opportunity figures before approving renewals.
If 42% of your peers can’t produce those numbers, the marketers who can are winning the internal argument every time. Budget doesn’t just flow to the best ideas. It flows to the ideas someone can defend in a spreadsheet.
The problem for most B2B marketing teams isn’t laziness or a lack of data. It’s that the channels they’ve invested in, paid social, display, broad content syndication, generate impressions and clicks that map poorly onto revenue. The measurement gap isn’t a skills problem in isolation. It’s a channel architecture problem that makes the skills problem impossible to solve.
Thought Leadership Podcasting Has a Measurement Advantage Most Marketers Are Ignoring
A consistent, interview-led podcast built around your buyers’ specific problems gives you something most content programmes don’t: a direct line between content consumption and commercial conversation.
When a prospect listens to six episodes before your first discovery call, your sales team doesn’t need to spend forty minutes establishing credibility. That’s a shortening of the sales cycle you can measure. When a guest who appeared on your show three months ago becomes an active opportunity, that’s an attribution point your CRM can hold. When your podcast audience grows in the specific job titles you’re targeting, you have a signal that tells you whether the right people are paying attention.
None of this requires a marketing mix model or a seven-figure analytics stack. It requires knowing which deals touched the podcast, and asking.
Goalhanger, the London-based media producer behind The Rest Of series, was named Britain’s fastest-growing private company by The Sunday Times this month. They built that by creating content audiences choose to spend forty minutes with, repeatedly. The mechanism is the same in B2B: if your content earns sustained attention from the people who buy what you sell, the commercial outcome follows. The difference is that in B2B you have a sales team to connect the dots, which makes measurement far more tractable than it is in consumer media.
The CMO Who Can Measure Is the CMO Who Leads
The Marketing Week piece isn’t really about measurement tools. It’s about organisational credibility. The marketers who can’t demonstrate what their spend produces are the ones who lose seat at the table when strategic decisions get made. That’s not a prediction. It’s what happens in every downturn.
Building a thought leadership podcast programme is not a measurement silver bullet. But it produces outputs, listener growth, guest relationships, sales-cycle data, and attributed pipeline, that are far more defensible in a board conversation than CPM on a programmatic campaign.
If your current content activity can’t answer the question your CFO will ask next quarter, that’s where to start. Pick one channel where you can trace the line from content to conversation to closed deal. Build the measurement model around that. Then scale what you can prove.
The 42% who can’t measure effectiveness aren’t all bad marketers. Most of them are working with channels that make measurement structurally hard. The fix isn’t better analytics. It’s choosing activities where the signal is cleaner from the start.
