Reactivation campaigns report opens. Your ledger reports money.

Every practice has a list of patients who stopped coming. Messaging them is cheap, and the industry's standard measure of success is a response rate.

A response rate cannot distinguish a patient who booked a cleaning from one who accepted a crown, and the difference between those is the whole economics of the campaign.

Matching the messaged list against collected production turns the campaign into a number. Practices that run this usually find the collected figure is either far better or far worse than the open rate suggested, and both answers change what they do next.

Appointment reminders reduce no-shows for patients you already have. Counted as a source, they would take credit for essentially all of your revenue.

So reminders should be labelled as what they are — retention — and kept apart from the channels that produce new patients.

The report separates first visits from subsequent production, which makes that distinction automatic rather than a matter of discipline. It also gives you a real measure of what reminders are worth, which is recovered chair time rather than new patients.

Review campaigns raise the practice's local rating, and the rating changes how many people choose you from a map result weeks later.

That effect is real and genuinely unattributable at the patient level: nobody in the file can be traced back to a review somebody else left.

The honest treatment is to report the map and directory channel accurately and separately, and read review activity as a driver of it over months. What the report will not do is invent a link between a specific review and a specific patient.

That restraint costs you nothing you actually had. A tool that claims to trace a patient to a review is guessing, and a guess dressed as attribution is worse than an honest gap because you cannot see where it went wrong.

Messaging systems hold mobile numbers because they need deliverable ones, which makes them the best-normalised contact data in a practice.

The practice management system's numbers are often older, sometimes landlines, occasionally a relative's. Matching across the two is where most losses happen.

Normalisation runs first on both sides — country code, punctuation, extensions — and the match report shows what did not join rather than quietly dropping it.

Where the two systems disagree about a patient, the messaging system is usually right, because a wrong number there fails visibly and gets corrected. That makes it worth exporting the email column from both sides as a second key.