Water, water everywhere. But not a drop to drink.

Much like the sailors in Samuel Taylor Coleridge’s classic poem “The Rime of the Ancient Mariner,” today’s marketers are facing a paradox. Despite having access to more data and insights than ever before, marketing teams are struggling to unify their data, communicate results, and justify budgets.

To dig into this conundrum, TransUnion partnered with EMARKETER to survey nearly 200 senior marketing leaders across the US, delving deep into their attitudes toward measurement, cross-team collaboration, AI, and more. The following is what they had to say.

Trust in measurement is stalling out

According to the survey, while the majority of marketers trust the accuracy of the results they’re seeing from their measurement solutions, that number isn’t growing. In fact, 54.1% of respondents said they see no year-over-year change in their measurement confidence and 14.3% said they’re becoming less confident over time.

The reasons why are telling: Nearly half of respondents cited siloed and incomplete data (49.5%), challenges in cross-channel deduplication (48.0%), and lack of visibility into walled gardens (40.8%) as primary motivations behind their waning faith in measurement accuracy.

But this lack of clarity does more than just erode confidence. It has real-world implications for marketing teams increasingly being asked to do more with less—especially when it comes to building trust across teams. More than 60% of marketers surveyed said their stakeholders question their metrics at least some of the time, and over a quarter (28.5%) reported their marketing budgets are being put at risk because of those measurement doubts.

Pulling budgets back from the brink

The message here is clear: Disconnected data and fragmented tech stacks are chipping away at traditionally reliable measurement solutions, leaving marketers without clear answers. And without answers, agility erodes, innovation grinds to a halt and budgets end up on the chopping block.

That last point is especially important. Particularly in moments of economic uncertainty, finance teams are fixated on efficiency, catapulting incremental ROI to the forefront of the measurement conversation. The inability to prove that return does little more than punch a one-way ticket to a cut budget.

Think of it this way: Confidence inside the organization directly affects the likelihood measurement and analytics investments will be protected or increased. Marketers who can instill that confidence will have room to show the impact of their investments—thus ensuring their entire organizations are rallied around a unified strategy. Those who can’t will be left out in the proverbial cold.

Moving from chaos to clarity

Building (or rebuilding) confidence in your marketing measurement might sound like a tall order, but it’s far from impossible. Here are four strategies our survey respondents offered when asked how they’re tackling disconnected data and misaligned metrics in their own businesses.

1. Get your data house in order

• As evidenced in the survey results, effective measurement starts with clean data. Break down silos, prioritize identity resolution and assess the health of your data assets to make sure you’re starting off on the right foot.
• Why it matters: Consistent, unified data puts all your platforms and touchpoints on equal footing. In this case, an ounce of prevention is worth a pound of cure.

2. Make measurement a team sport

• Tearing down silos doesn’t just apply to your data. Consider bringing a diverse array of stakeholders (from finance, IT, analytics, and beyond) together into a measurement council or tiger team.
• Why it matters: Shared responsibility reduces internal skepticism and transforms reporting from a readout into a conversation.

3. Treat AI as your efficiency engine

• While still a relatively nascent technology, survey respondents noted AI tools are significantly increasing their reporting velocity and reducing human error by flagging anomalies and automating mundane tasks.
• Why it matters: Beyond just reducing reporting mistakes, AI can also free up analysts to dive deeper into the insights that might make a real difference for your business.

4. Prioritize transparency

• The last recommendation is also the simplest—show your work. Ensure your methodologies are precisely documented, and lay out your key assumptions and accepted margin for error before pulling a single report.
• Why it matters: Many a performance readout has been derailed by a question on a number’s provenance. Make sure your bases are covered to keep the conversation focused—in other words, show what the numbers mean, not just where they come from.

Wrapping up

For marketers drowning in data, lack of confidence in their measurement can feel inevitable. But with a smart approach and the right set of tools, a decline in trust doesn’t have to be a foregone conclusion.

In fact, you might just find renewing confidence in your reporting is the most valuable campaign optimization you can make this year.

To learn more about the survey and dive deeper into its findings, click here.