How a Two Location Practice Won Local Search on About a Tenth of the Budget
Almost every practice owner I advise eventually asks me the same question about paid search, and they ask it with real frustration: what is the biggest advertiser in our market actually spending? There is a dominant clinic in most local markets, it outbids everyone, and the owner wants a number so they can decide whether to match it or give up. I understand the instinct. It is also a question with no usable answer, and chasing it is how a practice burns a year of budget losing an auction it was never going to win. The better question is quieter and far more useful: what is one booked patient worth to you, and what share of the auction does that buy? A two location practice I worked with answered that second question, and it changed where every marketing dollar went.
The Question Every Owner Asks First
The urge to reverse engineer a competitor's spend is so common it has its own genre of forum thread. On r/PPC, an owner asked exactly this in a post titled "reverse engineering Google ads strategy to find out competitor spend", and the most experienced replies all made the same move. They ignored the competitor and redirected the asker to two numbers the asker actually controls: the value of a converted patient and the target cost to acquire one.
That redirect is the whole game. You cannot know what the dominant advertiser spends, and even if you learned that they spend 10x what you do, their number runs on their economics, not yours. What you can know is the going rate for a click. WordStream's 2026 Google Ads benchmarks report that the average cost per click across Google Ads search is $5.42 and the average cost per lead is $66.69. Those are the numbers that tell you whether an auction is worth entering. The competitor's budget is not.
The Before State Most Owners Do Not Recognize
When this practice came to us, it looked the way a lot of practices look, which is to say fine from the front desk and broken underneath. Four disconnected vendors, each owning a slice of the marketing, none of them talking to each other. No consolidated contact database. No analytics worth the name. A website almost nobody could find, and a prior paid campaign that had produced clicks and not one confirmed booking anyone could point to.
The organic picture was the tell. Organic traffic accounted for under 10% of sessions, and the practice's average position in search sat in the high twenties, which is a polite way of saying invisible. In my work with practices, the most expensive gap is rarely the one the owner is watching. Here it was hiding in plain sight: the near-me and local queries that should have been this practice's home turf, roughly 193 of them drawing about 1,300 monthly impressions, were landing at an average position near 27 and earning almost no clicks. The demand was already there. Nobody was serving it.
Compete Where Structure Wins, Not Where Money Wins
The turn was not that we spent more. We spent less, on purpose, and moved the effort onto surfaces a competitor's budget cannot take away from you. Paid search got a deliberately capped daily budget, small enough that most agencies would call it unserious. On the account's strongest line, cost per click ran under a dollar; blended across campaigns it sat around a dollar and a half, well under a third of that $5.42 category average. Cost per booking action came in around eleven dollars, a fraction of the $66.69 average cost per lead. That is a booking-intent action rather than a confirmed patient, and I will not pretend otherwise, but the direction is not subtle.
Some months later the practice sits second on impression share in its market, behind a single advertiser spending roughly 10x more, and it is not trying to beat that advertiser. It holds a profitable slice of the auction and puts everything above that line into organic and local structure. Organic's share of traffic has roughly tripled, and the practice's highest-intent head term now ranks in the top five. Money did not win that ground. Structure did, and structure does not reprice itself every time a rival raises a bid.
The Strategic Recommendation
Run the arithmetic those r/PPC veterans pointed at, in this order, over the next 90 days.
First, put a number on what one booked patient is worth to you across their expected visits. Second, decide the most you will pay to acquire one, and hold that as a hard cap on paid. Third, take everything you were tempted to pour into outbidding the market leader and spend it instead on the surfaces the leader cannot buy away from you: your site's findability, your near-me and local pages, your profile and your reviews.
The order matters more than the total. A capped paid budget that sits behind real measurement and real landing pages beats an uncapped one that sits in front of neither, and it does so at a cost per action that is a fraction of the $66.69 benchmark. You are not trying to win the auction. You are trying to buy the share of it that pays, and to own the ground where the bidding never reaches.
Where GrowBien Fits
The reason the before state is so common is that the four vendors never share a database, so nobody can see that the cheapest growth on the table is organic ground the practice already half owns. GrowBien is built to close that loop, to put the paid cap, the local pages, the profile, and the contact record in one system that shows you the whole board at once. Across the practices I have seen, the ones that win a crowded market are not the ones that outspend it. They are the ones that stopped trying to. If you want to see where your own auction line should sit, book a free marketing review.
Free checklist
Fix your cancellation policy in one sitting
A seven step checklist that replaces your no-show fee with a deposit, which is the version that holds up when a patient disputes the charge, plus the exact wording to use.
About the Author
Chief Strategy Advisor, GrowBien
Physician, practice founder, and former management consultant. Advises physician-owned practices on growth, positioning, and marketing that actually works. Dr. Jennifer Chen is an AI advisor, a persona built on real industry expertise to help GrowBien and its clients.
View all posts by Jennifer →