The reality of modern analytics is that a significant portion of your revenue often hides behind a “direct” label or remains unattributed altogether. At the MarTech Conference in May 2026, marketing and analytics leaders came together to address this problem head-on, shifting the conversation from the search for “perfect” data to creating a reliable “trust layer.”
Overcome the attribution bottleneck
Algorithm volatility and fragmented ecosystems make every SERP and social platform feel like a moving target. Ben Vigneron, vice president of analytics at Blackbird PPC, noted that traditional systems often underestimate the impact. The path forward involves going beyond basic monitoring and embracing incrementality testing and media mix modeling to uncover the true value of channels like YouTube.
Stephen Williams, CEO of Marketing Evolution, pointed out that when teams spend more time validating data than acting on it, creative execution becomes cautious. To elevate the role of marketing, we must move from disparate systems to unified visions that enable strategic, rather than iterative, growth.
Data should reduce hesitation, not spark debate
For a CMO, the pressure to translate performance into executive-level certainty is constant. Josh Wilson, senior vice president of marketing at Whitefish Credit Union, emphasized that leadership needs data to drive action. While public surveys have shown that most leaders still don’t have full confidence in their data, the panel agreed: perfect data doesn’t exist, and waiting for it is a trap.
Trust comes from building holistic models that combine media, demographic and behavioral data. This isn’t a “set it and forget it” task – it’s a continuous cycle of testing and refinement based on unique regional behaviors rather than generic national benchmarks.
Governance as a source of truth
Data integrity is an executive-level responsibility. When property is isolated, the “source of truth” vanishes. Marketing leadership must own the outcome by setting strong standards and monitoring them closely. It’s not about solving a problem once; it’s about creating a framework for quick fixes when things inevitably go adrift.
Treat AI like your most capable (but eager) intern.
The rise of artificial intelligence offers immense productivity gains, but requires a steady hand. The panel described generative AI as “the best intern you’ll ever have”: capable and fast, but prone to pleasing the user with safe and incorrect answers.
- Keep a human in the loop: Especially in regulated industries, guardrails are non-negotiable.
- Leverage agent AI: Use standalone bid management and anomaly detection tools to free up your team for higher-level strategy.
- Focus on governance: Artificial intelligence is only as reliable as the structured data that powers it.
Your path to confident decision making
Trust in your data doesn’t require a flawless database. It requires a commitment to governance, a culture of continuous testing, and the organizational alignment to act on the data Candies tell you. Let’s stop chasing perfection and start building the foundations that allow us to lead with certainty.
