Google Ads for radiology: how to turn clicks into booked scans

The biggest mistake in radiology advertising is measuring success by clicks, website traffic and enquiries instead of what ultimately matters: booked scans, completed examinations, scanner utilisation and attributable revenue.

Google Ads can work unusually well for radiology because it reaches patients at a point of high intent. Someone searching “radiology near me”, “MRI near me” or “CT scan near me” may already be holding an imaging request and actively deciding where to book.

But buying the click is only the beginning. For a radiology network, the real opportunity is to connect advertising with the entire patient journey:

Search → Click → Enquiry → Availability → Booking → Completed scan → Revenue

Clicks and enquiries are intermediate events. When the stages are measured together, Google Ads stops being a traffic-generation channel and becomes part of how the network matches patient demand with the capacity it actually has.

Start with where the traffic comes from

Before keywords, bids or budgets, decide the geography. Radiology demand is local: a patient holding a referral chooses between the providers they can actually reach, and the highest-intent searches are “near me” queries that Google answers with a map.

So the traffic you should be targeting is defined by your preferred radius around each location, not by a city or a state. Build a campaign per site, targeted to the catchment that site genuinely serves, and size the radius by modality: patients will travel further for an MRI or a specialised study than for a plain X-ray or an ultrasound. Weight the suburbs your referrers practise in, and exclude the areas where a competitor is simply closer, unless you have the capacity and the reason to pull patients across.

The exception is a national brand. If patients search your name from anywhere, brand campaigns can run wide. Even then, the service campaigns should stay local, because the appointment is local: nobody travels interstate for a chest X-ray.

Per-site geography also sets up everything that follows in this article. You cannot direct demand towards the location with spare capacity if every site shares one broad campaign.

Then ask: do you actually need more demand?

Not every radiology practice should spend more on advertising.

If every scanner at every location is operating at capacity, appointment books are full for weeks and there is no practical ability to accommodate additional patients, generating more demand achieves very little. There may still be reasons to advertise: protecting searches for your brand name, supporting a new location, promoting a newly introduced service, staying visible in a competitive market. But increasing general demand for the sake of traffic is not commercially sensible when there is nowhere to put it.

The more interesting situation, and the common one, is when capacity exists but demand does not line up with it.

Radiology does not need more patients. It needs the right demand.

A radiology network can be extremely busy and still have unused capacity. One site has a long ultrasound waitlist while another has CT availability tomorrow. Reception is drowning in enquiries while an expensive scanner has open slots. A location is full every morning and quiet every afternoon.

So the real question is not “do we need more patients?” It is:

Where do we have capacity, and can we generate the right patient demand to fill it?

The distinction matters because radiology carries substantial fixed costs. The premises are open, the equipment is financed, staff are rostered, and the software, insurance and maintenance run whether every slot is used or not. An empty appointment produces no imaging revenue, but most of the cost of offering it has already been incurred. That makes incremental demand particularly valuable when it fills appropriate unused capacity.

Capacity is rarely distributed evenly

Across a multi-site group, demand varies by modality, location, machine, day, time, staffing, appointment type, referrer and geography.

Imagine a network with spare X-ray capacity while CT runs near full. A broad campaign that mostly generates CT enquiries increases call volume and marketing spend without solving the operational problem. The network does not need more enquiries. It needs more appropriate X-ray demand. Similarly, one location may have MRI appointments within two days while a nearby site has a three-week wait, and the advertising should know the difference.

Which leads to a better principle:

Generate the right demand, for the right modality, at the right location, while capacity exists.

Patients can choose where to have their imaging

An imaging request does not lock the patient into the provider whose branding appears on the form. Services Australia is explicit that a patient can choose their own diagnostic imaging practice, subject to the applicable Medicare requirements and equipment eligibility.

That creates genuine competition for high-intent demand. A patient compares providers on location, availability, wait times, opening hours, fees, bulk billing, online booking, and how quickly the phone is answered. For groups opening new locations or adding services this matters most of all: a new branch has capacity from day one but none of the established referral patterns of a mature clinic, and search is one of the few ways to reach patients already looking for exactly that service.

A click is not a conversion

This is where most radiology advertising programmes become impossible to evaluate. Google Ads can tell you a person clicked. Analytics can tell you they reached a booking page. A call tracker can tell you they telephoned. None of those events means the patient booked.

Consider a realistic month:

A conventional report celebrates the 1,000 clicks. The useful numbers are further down. The campaign produced 220 bookings from 1,000 clicks, a click-to-booking conversion of 22%, which also means 380 people started booking and did not finish.

That immediately gives management better questions. Where did those patients leave? Was the next available appointment too far away? Did they need a modality that site does not run? Did they call instead, and was the call answered? Did they book with a competitor? The advertising could be performing perfectly while the problem sits entirely downstream.

From cost per click to cost per booked scan

Suppose the spend behind that month was $5,000. The cost per click is $5, and the cost per booked appointment is $5,000 ÷ 220 = $22.73. Already more useful.

Now take it to the end of the journey. If 200 of those 220 patients attended, at an average attributable revenue of $180 per completed examination, the campaign produced $36,000 against $5,000 of spend, a 7.2x return.

Those numbers are illustrative, and the honest version of this calculation depends on your modality mix, fees, Medicare eligibility, staffing and cancellation rates. So rather than argue from an example, run your own:

Monthly advertising budget Average cost per click Click-to-booking conversion (%) Attendance rate (%) Average revenue per completed scan Available appointment slots per month

1,000Estimated clicks

220Bookings

200Completed scans

80%Capacity filled

$22.73Cost per booking

$25.00Cost per completed scan

$36,000Attributable revenue

7.2xRevenue to ad spend

All dollar figures are AUD. Illustrative model, not a forecast. Actual economics vary by modality, fees, Medicare eligibility, staffing, cancellations and marginal operating costs.

Try one change before you leave the calculator. Hold the spend constant and move the booking conversion from 22% to 28%, the kind of lift that comes from answering every call and finishing every started booking rather than from any change to the advertising. The same 1,000 clicks now produce 280 bookings and roughly 255 completed appointments, and at 250 available slots the capacity is full.

At that point the problem is no longer advertising. That is a very useful thing for a radiology operator to know before spending the next $5,000.

Where capacity changes the equation

The same model prevents the lazy assumption that more advertising is always better.

If a clinic has 40 MRI slots available next month and the existing programme is already generating 60 incremental MRI bookings, another $5,000 of MRI acquisition buys waiting time, not revenue, unless patients can be routed to another suitable location. Conversely, if the network has 150 unused X-ray slots, 80 unused CT slots and 5 unused ultrasound slots, the advertising should not treat those services equally. The objective is to direct appropriate demand towards the capacity the network actually wants to fill.

Where TriageAds fits

Most advertising platforms optimise on the signals available inside the advertising ecosystem: clicks, calls, form fills, website events. The booking outcome, the attendance outcome and the capacity position are invisible to them.

TriageAds closes that gap. It connects Google Ads, Microsoft Advertising and Meta with the interactions they generate, on the website and through TriageVoice, TriageChat and TriageForms, then follows each enquiry and referral through TriageWorkflow, the existing booking infrastructure and the RIS, to a booking and attendance outcome reported in TriageInsights. Those outcomes feed back into how the next dollar is spent.

That changes the question the network can ask. Instead of “which campaign generated the cheapest enquiry?”, it becomes: which campaign generated a patient we could actually accommodate, who booked, and who attended?

Imagine capacity-aware advertising

Suppose a network runs three sites:

A conventional system keeps directing CT enquiries to Brighton, because historically that campaign converted best. Operationally that is the worst possible result: it queues demand at the fullest site while Cheltenham’s CT sits underused.

A capacity-aware system could reduce incremental CT acquisition around Brighton, increase it around Cheltenham, push X-ray demand towards Brighton’s quiet capacity, move bids as availability changes, ease off when a modality approaches capacity, and lean in when cancellations open near-term slots. Marketing becomes responsive to operations, which is a different thing from automating bids.

You have already paid for the capacity

This is the commercial argument radiology operators recognise immediately. When an appropriate scanner slot goes unused, the building was open, the equipment was installed, the staff were working and the systems were running. The question is whether there is sufficient incremental value in filling that appointment.

That does not mean every spare slot should be filled at any cost. Acquisition cost, staffing, consumables, reporting requirements and rebates all matter. But it does mean radiology advertising should be evaluated against incremental capacity economics, not marketing metrics.

Track the phone demand too

Online bookings are only part of the story. Radiology remains phone-heavy: a patient clicks an advertisement and immediately calls, because the examination is hard to book online, or they have a preparation question, or they want to check fees, or they need an earlier appointment. If those calls are not connected back to the advertising source and the eventual booking, a large share of campaign performance is simply invisible.

After hours it is worse. If a patient clicks an MRI advertisement at 7:30pm, calls, and nobody answers, the advertisement worked. The patient-access journey did not. You paid for a patient the phone then gave away.

Measure the entire economic journey

The move radiology executives should be making is from this:

Google Ads generated 1,000 clicks at $5 per click.

to this:

We spent $5,000, generated 220 bookings, 200 patients attended, we filled 80% of the capacity we were targeting, the cost per completed appointment was $25 and those patients generated $36,000 in attributable revenue.

and eventually to this:

We reduced CT advertising at locations approaching capacity and redirected demand towards the locations and modalities with appointments available.

That is a fundamentally different management conversation.

The goal is not more patients

A network already at capacity does not need more advertising, and a network with spare X-ray capacity does not need more CT enquiries. The goal is not more clicks, more calls, or even simply more bookings.

The goal is the right patient demand, for the right service, at the right location, while appropriate capacity is available.

That is where advertising, patient access and radiology operations have to come together, and it is what TriageAds does: connect advertising investment with real booking outcomes and available capacity, then use those outcomes to decide where the next dollar of patient-acquisition spend goes.