Beyond the opt-in: Engineering consent for better marketing

A customer saying “yes” provides initial access, but what happens next decides whether that access turns into sustainable pipeline. The reality of modern marketing operations is that the gap between capturing an email and earning real engagement is where most growth strategies stall.

During the November 2026 MarTech Conference session “Beyond the opt-in: Engineering consent for better marketing,” industry practitioners examined how cross-functional alignment bridges that divide. Moderated by Jeanne Jennings, founder and chief strategist at Email Optimization Shop, the panel featured Joss Merckaert, head of consulting operations, North America at fifty-five; Zack Meszaros, senior principal solutions engineer at OneTrust; and advisor Sal Tripi.

An audience poll highlighted the daily friction marketing teams navigate: more than half rely on standard preference centers, while a third operate strictly out of compliance fear. Let’s look at how to move past risk mitigation and build trust that fuels commercial momentum.

The relationship after the opt-in

Jennings cut directly to the core commercial 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 one more blast before confirming whether the buyer finds value in it. Tripi highlighted that transparent permission closes the gap between communications audiences welcome and those they tune out.

His recommendation centers on clarity: clearly define the value exchange when collecting data. When prospects see what they share, why your brand requests it, and the exact utility they receive in return, opt-in resistance drops.

Meszaros pointed to the leverage gained through contextual consent. Requesting permissions at the exact moment their utility is obvious — such as timely delivery alerts — delivered a 5% to 10% lift in high-value channel opt-ins.

Here is the path forward: audit your customer touchpoints to locate where opt-ins feel natural and reciprocal rather than transactional.

Preferences need context

Operational leaders frequently face another hurdle: handling the disconnect when buyer preferences diverge from behavioral signals.

Jennings clarified the distinction: “Consent tells us what we’re allowed to do. Preferences tell us what customers want.”

Merckaert noted that declared and observed data serve distinct strategic purposes. Context governs execution. As Meszaros illustrated, browsing medical content requires sensitive handling, whereas researching enterprise software or consumer goods carries different buyer expectations. Interpreting the human context behind behavioral signals prevents premature outreach that damages credibility.

Where operational implementation breaks

A modern preference center underdelivers if choices fail to propagate across your execution stack.

Meszaros outlined the operational imperative: govern tracking scripts on web properties, then sync user choices across CDPs, master data management tools, and outbound engines via robust API architecture.

However, Merckaert observed that friction rarely originates in code. Misalignment between legal, security, marketing, and IT creates operational silos before technical rollouts begin.

“It breaks before implementation even starts,” Merckaert warned.

Tripi advocated for an empowered data governance framework that acts as a collaborative partner. Cross-functional alignment protects marketing from compliance surprises while giving engineering clear parameters for tracking data lineage and preference revocations.

Artificial intelligence raises the stakes for data integrity

Coordinating these systems becomes urgent as teams supply 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’s going to be useless,” Merckaert noted.

High-performing AI requires structured data tied directly to verifiable consent. Tripi emphasized the operational reality: teams must maintain clear mechanics for handling preference revocations instantly across training pipelines and messaging platforms.

Jennings advised focusing on high-signal data rather than hoarding volume for its own sake. Quality governs relevance.

To kickstart this initiative, Tripi offered a concrete audit: walk through your consent journey from the buyer’s perspective. If the clarity and value trade-off aren’t instantly apparent, bring the team together and refine the flow.

Watch the November 2026 MarTech Conference on demand.

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