Most marketing teams celebrate the opt-in, but the panel at MarTech’s November 2026 conference made the case that the “yes” is only the beginning. The commercial question, as Jeanne Jennings of Email Optimization Shop put it, is whether marketers are optimizing for the number of people who say yes — or for the value of the relationship after they say yes.
The gap between capturing an email and earning real engagement is where many growth strategies stall. The session, “Beyond the opt-in: Engineering consent for better marketing,” brought together operations leaders to explore how cross-functional alignment can close that gap.
Consent is not the same as preference
One of the sharpest distinctions from the session was between two assets that often get lumped together. Jennings explained: “Consent tells us what we’re allowed to do. Preferences tell us what customers want.”
Joss Merckaert of fifty-five and advisor Sal Tripi stressed that what customers declare and what they actually do are different signals, and each answers a different question. A buyer browsing medical content should not be treated the same way as one researching enterprise software. Reading the human context behind a behavioral signal can stop a premature outreach from damaging trust.
Right moment, measurable lift
Zack Meszaros of OneTrust pointed to the operational upside of contextual consent. Requesting permissions at the exact moment their utility is obvious — a timely delivery alert, for example — delivered a 5% to 10% lift in high-value channel opt-ins.
Yet an audience poll showed how much room remains: more than half of marketing teams still rely on standard preference centers, and a third act mostly from compliance fear.
Where the system breaks
A preference center underdelivers when choices do not propagate across the martech stack. Meszaros said teams need to govern tracking scripts and sync user choices across CDPs, master data tools and outbound engines through solid API architecture.
But Merckaert warned that the friction usually starts before code is written. “It breaks before implementation even starts,” she said, pointing to misalignment among legal, security, marketing and IT. An empowered data governance function can be the connective tissue.
AI raises the stakes
The urgency grows as teams feed customer data into generative AI tools. Merckaert noted that even the best models are useless without the right data in the first place. For AI, that means structured data tied to verifiable consent — and a mechanism to handle preference revocations instantly across training pipelines and messaging platforms.
What to do this week
- Walk through your consent journey from the buyer’s perspective.
- Define the value exchange clearly: what data is shared, why, and what the buyer gets back.
- Move consent requests to touchpoints where the utility is naturally visible.
- Audit whether a preference change actually reaches every execution tool.
The session’s underlying message: consent designed for trust can also become your best first-party data asset.
Source: MarTech
