Clinic marketing reporting fails in two directions. It either presents platform metrics with no connection to patients, or it claims an attribution precision that the underlying data cannot support. The frame below avoids both by being explicit about what each number can and cannot tell you.
Four stages
| Stage | Question | Where it is measured |
|---|---|---|
| Eligibility | Can we appear at all? | Indexing, profile completeness, crawler access |
| Presence | Do we appear, and where? | Impressions, pack grid, citation records |
| Engagement | Are we chosen? | Clicks, calls, direction requests, click-through rate |
| Enquiry | Did a patient contact us? | Forms, calls, bookings, self-reported source |
Most reporting jumps from stage two to stage four and then argues about the gap. Keeping all four separate makes it obvious where a problem is: strong presence and weak engagement is a listing or snippet problem, strong engagement and weak enquiry is a page or offer problem.
Per surface, a small set of numbers
- Organic: non-branded impressions, clicks, click-through rate on the top ten pages, number of indexed pages earning impressions.
- Local pack and Maps: pack presence across the sample grid, profile views, calls, direction requests, website clicks from the profile.
- Answer engines: the fixed question set, mentions, citations, factual accuracy, plus crawler access confirmed in server logs.
- Review platforms: new reviews, mean rating of new reviews, response rate, median response time.
- Directories: referral sessions and self-reported mentions.
- The site: enquiry rate by page, form completion rate, call volume.
That is roughly twenty numbers. Twenty is enough. A dashboard with two hundred is a dashboard nobody reads.
Attribution, stated accurately
Cross-surface attribution is incomplete and always will be. A patient may see an AI answer, search the clinic name, read reviews, visit the site twice on two devices and then telephone. Analytics sees part of that, consent limits what is recorded at all, and the phone call carries no digital trace.
Add "how did you first hear about us" to the enquiry form and to the phone script, with a small fixed list of options and a free text box. It is self-reported and imperfect. It is also the only direct evidence of the surfaces digital measurement cannot see, and recorded consistently for a year it becomes the most useful series in the business.
Telephone, the surface everyone forgets
Clinic enquiries are still heavily telephone based. If calls are not counted, most of the funnel is invisible. At minimum, log call volume by day and record the source question. Call tracking software can attribute more precisely, at the cost of complexity and of the citation consistency issue described elsewhere on this site: keep the canonical number in your structured data and in every external listing.
Your own website
HIGH CONTROL- Every byte a crawler receives, and the speed it arrives at
- The entity claims: name, address, identifiers, sameAs, service list
- Canonical URLs, hreflang if used, and the internal link graph
- Whether the page answers the question it was built to answer
- How the answer is displayed once it leaves your server
- Whether a third party republishes an outdated version of your facts
- Crawl the whole site and compare the URL list against the sitemap
- Validate every JSON-LD block against the Rich Results Test
- Measure field data, not only lab scores, for Core Web Vitals
What to report, and how often
- Monthly: the twenty numbers, plus what changed and what was done.
- Quarterly: the surface audit, the pack grid, the AI question set, the citation audit.
- Annually: the full entity and listings review, the category review, the content review against current questions.
Baselines before interventions
The most common measurement failure in clinic marketing is starting work before recording a baseline. Without at least two months of prior data, no claim about the effect of a change can be defended. Spend the first month of any engagement measuring and fixing eligibility, which is useful work in itself and produces the baseline everything afterwards is judged against.
Seasonality and small numbers
Clinic enquiry volumes are small enough that month-to-month movement is frequently noise, and several treatment categories have pronounced seasonality. Compare against the same month in the previous year wherever you have the data, use rolling three-month figures for anything volatile, and resist explaining a fifteen per cent movement that is within normal variation.
Reporting that survives scrutiny
Every number should come with its method: what was counted, over what period, from what source, and what it excludes. A report built that way is slower to produce and impossible to argue with, which is the point. It also means that when something genuinely improves, the improvement is believed.
What the monthly document should look like
One page. Twenty numbers with the previous month and the same month last year beside each. Three sentences under it: what changed, why we think it changed, and what we are doing next. Anything longer is not read, and anything shorter cannot be interrogated.
Include a method note at the foot listing what each number counts, where it came from, and any change to how it was collected. A report that carries its own method is a report that can still be interpreted in a year, which is when the long series finally becomes useful and when nobody remembers how anything was measured.
Reporting to a clinical audience
Clinicians and practice owners are trained to be sceptical of numbers presented without method, which is an advantage rather than an obstacle. Present the measurement the way a clinical result would be presented: what was measured, in what population, over what period, with what limitations. Marketing reporting that adopts that convention is trusted faster and argued with less, and the discipline of writing it stops several bad numbers being reported at all.