An acquired practice brings three thousand patients. None of them are marketing's.

When a group buys a practice, the practice's existing patients move into the group's database. In a naive report they appear as new patients in the month the practice joined.

Every campaign running that month then looks extraordinary, and the group's marketing is credited with growth it bought rather than won.

The fix is to record when each office joined and treat patients first seen before that date as inherited, whatever their record's created date says.

Reported apart, the group sees two honest numbers: how many patients marketing won, and how many came with acquisitions.

For a group growing by acquisition, the first number is the one that shows whether the marketing works at all.

A group typically runs some marketing centrally for all its offices and lets offices, or regions, run their own.

Credited together, a brand campaign's patients get attributed to whichever office they happened to book at, and a local campaign's results get blended into the group's.

Keeping the campaign's level on the lead file lets the report show central spend against the patients it produced across every office, and local spend against its own office.

That is the split a group's budget is actually set on, so it is the one the report produces.

It also settles a recurring argument inside groups: whether the central marketing team is producing patients for the offices or taking credit for what the offices would have won locally. With both levels on the lead file, the answer is a number rather than a debate.

Many groups book appointments through a central team rather than each office's front desk, and that team's records hold the caller, the date and often how they heard about the group.

Those records are the most complete lead file a group has, and they are frequently never joined to the collections that followed.

Exporting them alongside collections gives revenue per booking by source, across every office the call centre serves.

It also shows which offices convert the bookings the centre sends, which is an operations finding rather than a marketing one.

A patient who moves house or switches to an office nearer work is still one patient, and a shared database recognises them as one.

A report that counts patients per office without that recognition would count the move as a new patient at the second office.

Matching on the patient, not the office, keeps them attached to the source that first produced them, with the offices they visited recorded beside it.

It is one of the practical advantages of a group on a single database, and it makes the group's attribution cleaner than a collection of separate practices could produce.