A customer who says “yes” provides initial access, but what happens next decides whether that access turns into a sustainable pipeline. The reality of modern marketing operations is that the gap between capturing an email and getting real engagement is where most growth strategies stall.
During the November 2026 MarTech conference session “Beyond Opt-In: Engineering Consensus for Better Marketing,” industry players examined how cross-functional alignment bridges divides. Moderated by Jeanne Jennings, founder and chief strategist of Email Optimization Shop, the panel featured Joss Merckaert, head of consulting operations, North America, fifty-five; Zack Meszaros, senior core solutions engineer at OneTrust; and councilor Sal Tripi.
A survey of the public highlighted the daily challenges marketing teams face: more than half rely on standard preference centers, while a third operate strictly out of fear of compliance. Let’s take a look at how to overcome risk mitigation and build the trust that fuels business momentum.
The report after the opt-in
Jennings goes straight to the main business question: “Are we optimizing for the number of people who say yes, or are we optimizing for the value of the relationship after they say yes?”
It’s a common struggle: Campaign pressure pushes teams to send another blast before confirming whether the buyer finds value in it. Tripi emphasized that transparent authorization bridges the gap between the welcome communication audience and the one that is excluded.
His recommendation centers on clarity: clearly define the value exchange when collecting data. When potential customers see what they share, why your brand requires it, and the exact utility they receive in return, resistance to joining decreases.
Meszaros highlighted the leverage gained through contextual consensus. Requesting permissions at the exact moment their usefulness is evident, such as timely delivery alerts, has produced a 5% to 10% increase in opt-ins from high-value channels.
Here’s the way forward: Monitor touchpoints with your customers to identify where opt-ins feel natural and reciprocal rather than transactional.
Preferences need context
Operational leaders often face another obstacle: managing the disconnect when shopper preferences diverge from behavioral signals.
Jennings clarified the distinction: “Consent tells us what we are allowed to do. Preferences tell us what customers want.”
Merckaert noted that reported and observed data serve distinct strategic purposes. Context governs execution. As Meszaros illustrated, navigating medical content requires sensitive management, while searching for business software or consumer goods results in different expectations from buyers. Interpreting the human context behind behavioral cues prevents premature sensitization that damages credibility.
Where operational implementation breaks down
A modern preference center performs poorly if choices fail to propagate up the execution stack.
Meszaros outlined the operational imperative: govern tracking scripts on web properties, then synchronize user choices between CDPs, master data management tools, and egress engines via a robust API architecture.
However, Merckaert noted that friction rarely originates in code. The misalignment between legal, security, marketing and IT creates operational silos before technical implementations begin.
“It breaks before implementation even begins,” Merckaert warned.
Tripi argued for an enhanced data governance framework to act as a collaborative partner. Cross-functional alignment protects marketing from compliance surprises while providing clear design metrics to track data lineage and preference revocations.
AI raises the stakes for data integrity
Coordination of these systems becomes urgent as teams provide downstream generative AI tools with customer data.
“You could have the best models. If you don’t have the right data in the first place, it will be useless,” Merckaert noted.
High-performance AI requires structured data tied directly to verifiable consensus. Tripi highlighted the operational reality: teams must maintain clear mechanisms to instantly manage preference revocations across training paths and messaging platforms.
Jennings recommends focusing on high-signal data rather than accumulating volume for its own sake. Quality governs relevance.
To kick off this initiative, Tripi offered a concrete audit: retrace your consent journey from the buyer’s perspective. If the trade-off between clarity and value isn’t immediately apparent, bring the team together and refine the flow.
Watch the November 2026 MarTech conference on demand.
