Every clinic marketing report leads with the metrics that look best. Impressions in the hundreds of thousands. Clicks in the thousands. Leads in the hundreds. Engagement rates above industry average. The numbers go up. The patient calendar does not.

This article is the field guide to telling vanity metrics apart from booking data, and what your monthly dashboard should actually contain.

What vanity metrics are

Vanity metrics are numbers that move easily, look impressive in reports, and have weak correlation to booked patients. They are not lies. They are just the wrong layer to make decisions at.

The common ones:

  • Impressions. How many times the ad was shown. Easy to drive up with broader targeting. Tells you almost nothing about booking.
  • Reach. How many unique people saw the ad. Slightly more useful than impressions, still weakly correlated to bookings.
  • Click-through rate (CTR). The percentage of impressions that clicked. Helpful as a creative-quality signal, but a 4 percent CTR on broad-match irrelevant keywords is worse than a 2 percent CTR on tight high-intent keywords. Context matters.
  • Cost per click (CPC). Useful inside a campaign, useless across campaigns. A $2 CPC on garbage traffic is more expensive than an $8 CPC on patients who book.
  • Followers and engagement rate. Sometimes a brand signal, almost never a booked-patient driver. A clinic with 8,000 Instagram followers and no booking flow is not winning.
  • Leads. The most dangerous vanity metric because it sounds like the right thing. A lead is a form fill or a phone enquiry. Whether the lead books is a different question entirely. See our piece on lead quality vs lead volume for the full version of this.
  • Cost per lead (CPL). Same trap. A $20 CPL that books at 5 percent is $400 per booked patient. A $60 CPL that books at 40 percent is $150 per booked patient. The CPL number is misleading without the booking layer.
  • Time on site, pages per session, bounce rate. Useful diagnostics. Not primary metrics.

When an agency report leads with any of these, they are leading with what looks best, not with what matters.

The four numbers that actually matter

Every clinic dashboard should track these four numbers monthly:

1. Booked first visits

The number of new patients who booked their first appointment in the period. Source: your booking system (Jane App, Cliniko, Juvonno), not the ad platform.

This is the headline. Everything else explains it.

2. Cost per booked first visit (CPBFV)

Total marketing spend divided by booked first visits. Calculate per channel and in total.

Healthy ranges by clinic type (paid-media-driven):

  • Physiotherapy and chiropractic: $80 to $180
  • RMT: $50 to $120
  • Naturopathy: $200 to $450
  • Mental health and counselling: $150 to $350
  • Dental general practice: $120 to $300
  • Pelvic-floor physiotherapy: $80 to $200

These are not benchmarks to copy. They are reference points. Your real allowable CPBFV depends on your patient lifetime value and your margins. See our PAC framework article for how to calculate yours.

3. Channel attribution (booked first visits per channel)

Of the booked first visits this month, how many came from Google Ads, Meta Ads, organic search, GBP, referrals, and direct? The split matters because it tells you which channels to scale and which to pause.

Most clinics either do not track this or trust the ad-platform attribution (which is generous and overlapping). The honest source is the booking platform combined with intake-form attribution and call tracking (covered in our call-tracking article).

4. Trend on the above three numbers

The level matters less than the direction. Cost per booked first visit went from $220 to $180 over the last three months: improvement. Booked first visits went from 24 to 19 over the same period: regression.

A single month is noise. A three-month trend is signal. Read your dashboard for trends, not for point-in-time levels.

The reports your agency should be producing

A healthy agency report for a clinic includes:

  • Booked first visits this month vs last month vs three months ago. Headline.
  • Cost per booked first visit by channel. The economic truth.
  • Channel attribution split. Where the patients came from.
  • Top creative or keyword performers. What to do more of.
  • Underperformers paused or being changed. What is being fixed.
  • Action plan for next month. Specific. Not “continue optimisation.”

If the report contains a lot of impression and click data and not much booked-patient data, the agency is reporting on what they can produce easily, not on what matters. See our agency-selection article for the conversation to have.

Reading reports critically

When you receive a report, three questions to ask:

  1. What is the source of each number? “47 conversions in Google Ads” is meaningless without knowing what counted as a conversion. Was it form fills only? Was it phone calls? Was it booked first visits? The conversion definition is the entire frame.

  2. Does the booking system agree? Cross-check the report’s claimed conversions against your booking platform’s new-patient count for the same period. If they disagree by more than 20 to 30 percent, something is wrong with attribution or tracking.

  3. What is the action plan derived from this data? A report that ends with “everything is on track” is not a report, it is a status update. A real report ends with one or two specific things the agency is changing next month based on the data.

What to look at weekly

Weekly is for skimming, not analysis:

  • Ad spend on track?
  • Lead and call count tracking reasonably?
  • Anything obviously broken in the conversion pipeline?

Five minutes a week. If everything looks normal, move on. If something is off, dig in.

What to look at monthly

Monthly is for decisions:

  • Cost per booked first visit by channel
  • Total booked first visits vs goal
  • Trend on the above three months
  • Channel attribution
  • What is the next thing to test, change, or pause

Twenty to thirty minutes. Two or three decisions for the next month.

Why this matters

A clinic that runs its marketing against vanity metrics looks busy and grows slowly. A clinic that runs its marketing against booking data makes fewer decisions, but they are the right ones. Over twelve months the gap between these two operating modes is enormous.

The cost of looking at the wrong numbers is not just wasted ad spend. It is the patients you did not book because the algorithm was optimising against the wrong signal, the channel you scaled because it looked good in the report, and the channel you paused because the booking data was hidden by impressive lead counts.

If you want to see what your real numbers look like, the Clinic Growth Review reads your ad accounts and booking platform together and produces the dashboard the agency was probably not giving you.