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Case Study · Provider Outreach
A 0.44% industry average says provider display advertising doesn't work. This campaign proved the problem isn't the channel — it's the approach.
0×
Above Industry Benchmark
0%
Click-Through Rate
0
Targeted Impressions
The average healthcare provider receives thousands of marketing messages per month. In that environment, “reaching providers” isn't a media problem. It's a relevance problem. And relevance can't be bought with bigger budgets or broader targeting.
The client — a regional health system with multiple specialty service lines — had tried the conventional approach: wide-net programmatic buys, generic messaging, quarterly performance reports that showed plenty of impressions and no insight into whether any of it reached a provider who could actually refer patients.
The industry average display CTR for healthcare is 0.44%. At that rate, for every thousand impressions served, fewer than five generate a click. The question wasn't how to buy more impressions. It was whether the right providers were seeing them at all.
Audience Architecture
Instead of targeting by demographics, we mapped referral behavior. Which specialties were underrepresented in the client's referral network? Which geographic markets had providers with fewer local options? The targeting model was built from clinical logic, not media logic.
Creative Hypotheses
Rather than producing one set of ads and hoping, we built a modular creative system designed to test what providers actually respond to. Specialty-specific CTAs vs. generic. Market-tailored imagery vs. stock. Every variation was a hypothesis with a measurable outcome.
The campaign launched across programmatic display with an 8-week flight, structured so that every two weeks, performance data could reshape targeting and creative allocation. The plan was to learn fast and adapt. What we didn't expect was how much the data would teach us.
The highest-performing segments weren't defined by specialty or geography alone — they were defined by the intersection of both.
Three weeks in, aggregate CTR hovered around 1.2% — above industry average, but not the signal we were looking for. Then the specialty-level breakdown surfaced a pattern. Campaigns combining clinical-specific language with market-specific context outperformed everything else. The same specialty message performed differently in different geographies.
Providers in secondary markets, in specialties with fewer local options, engaged at 4× the rate of primary-market counterparts.
This wasn't a creative problem. It was an architecture problem. We restructured the campaign matrix around specialty-market intersections rather than broad audience pools, and redirected 30% of spend from underperforming segments to high-engagement combinations. Within two weeks, aggregate CTR climbed from 1.2% to 3.25%.
Targeted Campaign · 8-Week Flight
46,143
Not 46 million. Not 4.6 million. Forty-six thousand impressions — each one targeted at a specific provider, in a specific specialty, in a specific market.
46,143 impressions isn't massive reach. It was never meant to be. At this volume, a 3.25% CTR reveals something about the quality of the audience architecture underneath.
Our initial creative tests showed no significant difference between specialty-specific and generic CTAs on their own. It wasn't until we combined specialty messaging with market-specific imagery that performance separated — and when it did, the gap was decisive.
Specific CTAs
“Schedule a bariatric surgery consultation” outperformed “Learn more” by 2.4×
Clinical Imagery
Provider-facing imagery drove 1.8× higher engagement than patient-facing stock
Local Context
Market-tailored headlines reduced CPC by 31% vs. generic regional copy
1,498 Moments of
Clinical Consideration
Each click wasn't a consumer browsing casually. It was a healthcare provider — someone who refers patients, orders procedures, and influences clinical decisions — actively choosing to learn more about this system's capabilities.
In an industry where a single provider relationship can generate significant annual referral revenue, these aren't clicks. They're the beginning of clinical partnerships.
7.4×
Above Healthcare Industry Benchmark
The average healthcare display campaign achieves a 0.44% click-through rate. This campaign delivered 3.25%. That gap isn't explained by bigger budgets or better placements. It's explained by the difference between targeting “healthcare providers in a region” and targeting providers in specific specialties, in specific markets, whose referral patterns suggested they were actively evaluating where to send patients.
“For the first time, we could see which specialties in which markets were actually driving provider engagement. That changed how we think about outreach entirely.”
— VP of Marketing, Regional Health System
Client name withheld per agreement. Full reference available on request.
Referral-behavior targeting that identified secondary-market providers as the highest-value segment — a finding that reshaped the entire campaign mid-flight
A modular creative system that tested 12 specialty-market combinations, isolating that clinical specificity only works when paired with geographic relevance
Two mid-flight budget reallocations based on specialty-level CTR data, redirecting 30% of spend from underperforming segments to high-engagement combinations within the first 21 days
Measurement architecture designed before launch — every click traceable to a specialty, a market, and a creative variant, enabling the discovery that drove the campaign's second-half performance
This case study represents one campaign for one health system. The methodology — precision targeting, hypothesis-driven creative, mid-flight optimization based on specialty-level data — applies to any provider engagement challenge.
Every provider click is a clinician actively evaluating whether to refer patients to this system. The question isn't whether provider outreach works. It's whether your targeting is precise enough to prove it.