Case studies
Results, not vanity metrics
Engagements that show how full-scope, compliance-grade marketing compounds — patient pipelines, AI-guided growth, search and AI visibility, compliance-cleared campaigns, and a product built from ground-up.
Healthcare · OB/GYN
Does Tylenol Cause Autism? The 48-Hour Answer
When national headlines tied a household pain reliever to autism, the calls reached front desks before the science could catch up. Expectant patients were frightened — and fear doesn’t wait for peer review. Within forty-eight hours, we scripted, produced, and delivered a patient-education video that did what the headlines wouldn’t: explain the difference between correlation and causation in plain, warm, visual terms, with physicians speaking in a voice of calm authority.
Published to the practice’s website and social channels while the story was still trending, it gave worried patients a place to land — and gave clinical staff their phone lines back. Misinformation moves fast. Trust has to move faster.
AI & Data Science · Multi-location practice
Proof, Not Promises: Forecasting Measurable ROI
Every ad platform reports success in its own currency — clicks, impressions, conversions it defines for itself. Our client needed a harder answer: were the campaigns actually producing patients? We built a predictive model of patient acquisition, forecasting what new-patient volume should have looked like without paid media, then measuring the lift that arrived with it — and testing that lift for statistical significance rather than taking the dashboard’s word for it.
The difference held. Attribution became defensible, ROI was counted in patients rather than platform metrics, and budget decisions moved from faith to evidence. Anyone can report clicks. We like recommending informed data-driven decisions.
mHealth Product build · TrueLabor
Fiona: A Virtual Healthcare Navigator with IBM Watson
Pregnancy risks rarely announce themselves during office hours. Inside the TrueLabor app, we designed and built Fiona — an AI-driven virtual healthcare assistant present for the moments between appointments. Fiona listens the way good triage does: attentive to the symptom logged at 2 a.m., the pattern forming across a week of check-ins, the question a patient hesitates to ask out loud. When the signals suggest risk, she raises them early — guiding the patient, alerting the care team, turning a quiet warning sign into a timely conversation.
All of it built with the guardrails maternal health demands: privacy-first architecture, clinically grounded guidance, firm limits on what an assistant should ever decide alone. Most digital health tools wait to be asked. Fiona doesn’t.
Healthcare · Ob/Gyn
VOC: Intervention Before the Negativity
If an unnoticed negative experience cascades to a one-star review, operations have additional burdens to mitigate. So we moved the listening upstream — building a voice-of-customer workflow into the practice’s daily operations: feedback invited after every visit, sentiment analyzed as it arrived, concerns routed privately to the right person while the patient was still reachable.
Patterns that once surfaced as public complaints — scheduling friction, long waits, a confusing form — became operational insight instead, fixed at the source. And patients who felt genuinely heard did what happy patients do: they said so, publicly. Reputation isn’t won on review sites. It’s decided in the waiting room.
Healthcare · Clinic
Living in the Matrix: Position Ranking
A practice doesn’t rank in a city; it ranks street by street. We ran a position matrix across a five-mile radius — sampling, point by point, where the practice actually appeared for the searches that fill its schedule — then overlaid the grid with de-identified patient addresses. Two maps, one story: neighborhoods where strong visibility and real patients clustered together, and quiet gaps where demand clearly lived but the practice was nowhere to be found.
Those gaps became the growth plan — location-level content, profile and listings work, presence built precisely where it was missing. The next patients weren’t everywhere. They were somewhere — and now the map showed exactly where.