Healthcare Competitive Marketing Analysis: What We Found and What We Recommended

Of the organization’s 4,377 page-one rankings, 3,188 came from blog articles — roughly 73%, carrying about 78% of the page-one search volume. The pages that describe its actual services accounted for 135 page-one rankings, about 3%. Some 288 articles appeared in the ranking data, against nine service pages.

• 3,188 — blog articles
• 552 — location pages
• 298 — patient information pages
• 183 — homepage
• 135 — service pages
• 21 — other pages

The articles ranked nationally for symptom explainers, test-timing questions, what various medical professionals earn, and similar informational topics. And 723 of the blog’s page-one placements were citations inside AI overviews — answers delivered on the results page itself.

When we separated out searches from people looking for care nearby — a service plus a location, “near me,” or a payment term such as Medicaid or sliding scale — the picture inverted. By our classification, about 247 of those patient-intent terms ranked on page one, together searched roughly 45,000 times a month. Another 325, searched about 62,000 times a month, sat just behind them in positions 11 to 30.

Informational content builds familiarity, and some of it was clearly doing that. But a national reader checking a symptom is not a parent in the service area looking for a pediatrician, and AI overviews were increasingly answering the symptom question before anyone clicked. That is the most plausible explanation for organic traffic falling by roughly half.

The advertising market had already priced the difference. Advertisers were paying roughly five times as much per click for the patient-intent terms as for the informational ones. The organization was winning the cheap traffic and narrowly missing the valuable traffic — a pattern we write about in why most businesses don’t need more traffic.

Treat the blog as what it is: awareness, not acquisition. It was working, and there was no case for abandoning it — but there was no case for making it the next investment either. Health questions are increasingly answered on the results page; a search for care nearby is still decided in the map.

So the recommendation was to move the next dollar and the next hour to where patient-intent searches resolve: the Google Business Profiles (Opportunity 02) and paid search that appears in the map (Opportunity 03).

The geo-grid scans, shown in full in the next section, told the clearest story in the whole analysis. For the organization’s own category — “community health center” and “health clinic” — it was strong. For “primary care doctors,” “pediatrician” and “pediatric care,” it did not appear in the top 20 at any of 49 grid points around one of its own locations.

The Google Business Profiles were the reason. The descriptions used broad labels — affordable medical, pediatric, dental, pharmacy care — rather than the words people search with. Posts were repurposed social content with hashtags. The services section was incomplete.

When someone searches for a pediatrician, the map results appear above the organic listings, and that is where much of the clicking happens. Ranking first on the blog for a health question does nothing for a parent choosing between three pins on a map. The organization was invisible at exactly the moment its most valuable patient was choosing a provider.

There was a real constraint here. The in-house lead pointed out that the profile’s primary category could not be set to “pediatrician” — Google kept reverting it to a community health center or medical clinic category. That is true, and it is why the recommendation leaned on the parts of the profile the organization does control.

Rewrite each profile’s description in the language patients use, populate the services section completely, and publish profile content that actually discusses pediatric and primary care. Whether profile posts still influence ranking is genuinely debated, and the in-house lead raised it directly; our view was that Google reads the profile’s content to decide what a location is relevant for, and these profiles gave it very little to work with.

Keep the review flow strong and reply to reviews — but carefully. In healthcare, a reply that reveals anything about a reviewer’s care is a privacy problem, and we did not recommend writing keywords into review replies. The ranking benefit is not worth the exposure.

Our expectation, stated as an expectation rather than a promise, was that meaningful movement typically shows within three to four months, and takes longer for terms like “pediatrician,” where a location starts outside the top 20. This is the core of our local SEO work.

The organization had pediatric appointment capacity it could not fill, a brand-new self-scheduling flow for exactly those appointments, and almost no visibility for pediatric searches in the local map. Its paid Google Ads account ran at roughly $2,000 a month, alongside a separate grant-funded account.

Meanwhile, the largest pediatric competitor’s paid search was concentrated on specialty care. Generic pediatric primary-care searches were not where it was spending.

Local search improvements take months. Empty appointment slots cost money now. Paid search is the one channel that can put the organization in front of a parent searching for a pediatrician this week, in the place that parent is looking — the map — while the profile work catches up.

The in-house lead made the case for this himself: given a small amount of money, he would rather pay for an exact-match click from someone searching for a pediatrician nearby than boost a social post to people who are not looking. For this stage, we agreed, and the priority order below reflects it.

Use the existing paid account — not the grant account — for pediatric and primary-care terms around the locations with open capacity, with location assets attached so the ads can surface in the map results. Test exact-match search against broader campaign types rather than assuming either wins; the team’s own experience was that exact-match search converted best, while broader campaigns appeared in the map more often.

Leave the grant-funded account alone. Grant accounts have strict compliance requirements, and changing one to chase performance can put the grant itself at risk. It stays outside any management scope. More on how we run paid advertising for lead generation.

The site carried standard analytics, a tag manager, and advertising pixels for Meta and LinkedIn. A cookie banner was in place, no patient information was stored on the website, and scheduling ran through a healthcare software vendor.

What none of that addressed was behavior. A visitor who arrives from an ad, lands on the OB/GYN page and clicks “schedule” has told the ad platform something about their health — and the major ad platforms do not sign business associate agreements.

This is the question larger health systems answer before they scale advertising, and the in-house lead asked it directly: how is anyone running ads with conversion tracking in this industry? The answer is that the ones doing it carefully put something between their website and the ad platforms.

It also mattered to the plan. Opportunities 03 and 05 both involve paid media and remarketing. Neither should scale until this is resolved.

Put a privacy layer in place before expanding paid media: either a commercial healthcare tracking service that will sign a business associate agreement, or a self-hosted alternative — an open-source event pipeline and analytics platform on a server the organization owns, which passes only non-sensitive conversion signals onward. Both approaches were laid out; the organization’s team was capable of evaluating either.

We describe this as HIPAA-sensitive rather than HIPAA-compliant. Compliance is a legal determination we are not qualified to make; the goal is to stop sensitive behavior from leaving the organization’s control. We cover the approach in more depth in HIPAA-sensitive conversion tracking for healthcare PPC.

Branded search was a small fraction of organic traffic, against a majority for both large competitors. On social, the organization had more than 3,900 followers, but likes and comments came mostly from staff, so posts reached few people beyond the existing audience. A single paid social ad about pediatrics had been running since late spring, apparently across placements, with no test variation alongside it.

The team’s capacity for community outreach at local events had recently been reduced.

Recognition changes behavior at the moment of choice. When a parent sees three options in the map, the name they recognize tends to get the click. For an organization that had been part of its communities for decades, being recognized by so few searchers was a gap, and one that would make every other channel cost more.

Use small boosted posts around community events and health awareness, where a few dollars a day buys real local reach. Split the paid social ad into separate Facebook and Instagram versions, test variations against each other, and drop the placements that are not performing. Cut the television spots down for social as planned, since they are the strongest creative asset the organization has.

Keep organic posting going for community presence, but do not expect it to drive appointments. It is there so that a parent who looks the organization up finds something current. If the team needs that work off its plate, it can be handed to social media management without pretending it is a growth channel.