How Neuromark Increased Patient Engagement by 29% in Just Four Months
Learn how Neuromark transformed their digital marketing approach by making their media dollars work harder through intelligent audience optimization.
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Same site. Same ad budget. Nearly the same number of clicks. What changed is who the clicks were, because every visitor who answered one question taught the system, on the page and upstream in the ad platform.
The situation
Neuromark, a medical device brand from Neurent Medical, treats chronic rhinitis, a condition most sufferers manage for years without knowing a procedural option exists. Their digital marketing had the problem every condition-awareness campaign has: traffic was arriving, but nobody could say how much of it was actual patient prospects versus researchers, clinicians, and the generally curious. Spending more couldn’t fix that. Knowing who was arriving could.
What ran
A lightly docked survey ran across the education and provider-finding journey, asking visitors one thing worth knowing: who they were and where they stood on the path to treatment. Answering took seconds. Then the answer went to work twice.
In the session, the response routed the visitor through pre-approved Next Best Action cards: condition education for early researchers, the find-a-provider path for patients ready to act, and a Doctor Discussion Guide, a personalized PDF built from a short symptom assessment, designed to turn an anxious first conversation with a physician into a structured one.
Upstream, the same declared answers flowed back to the ad platforms as first-party audience data. The bidding engine stopped optimizing toward clicks that looked like patients and started optimizing toward clicks that had said they were.
How it was measured
The measurement window ran January through April 2025, after a December integration with the existing marketing stack. The design was a composition test: hold the media budget roughly level, watch total clicks, and watch who the clicks were, as declared in-survey. Attribution here doesn’t rest on a model. Visitors said who they were.
The result
What the survey data showed underneath
The mechanism is visible in the response rates. Paid visitors engaged the survey at roughly three times the rate of organic visitors, which is exactly what you want from a media-feedback loop: the clicks being paid for were the clicks most willing to identify themselves. And engagement concentrated where intent peaked: on provider-search results pages, more than a fifth of visitors who saw the survey answered it. The Doctor Discussion Guide became the program’s quiet overachiever, with nearly half of the patients who opened it completing the assessment.
An agent that works upstream
Most agent stories happen in the session: detect the stuck moment, ask one question, deliver the right pre-approved response. This one has a second surface. The same customer intelligence that routes a visitor in the moment also informs real-time bidding, teaching the media platform which audiences to find more of tomorrow. On the page, the loop looks like a Next Best Action card; upstream, it looks like media optimization. It is the same agent logic either way: a visitor declares something once, and the system acts on it everywhere it matters. Pulse Experience Agents run that loop across checkout, support, onboarding, wayfinding, and, as Neuromark shows, the ad spend that fills the funnel in the first place.