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For athenahealth

Which campaigns produced the patients your claims collected on?

Match collected revenue to the campaigns and calls that produced the patient, across the months a claim takes to settle.

No API key Nothing to install in athenahealth No card required

The gap

A visit in March collects in June at a rate nobody knew in March. Your marketing report closed the March book long before the money arrived.

athenahealth sees

What was sold, to whom, and for how much.

no shared row
Your ad account sees

The click, the keyword, the call, and what each one cost.

The file

What the export needs in it.

Three things carry the match: who, how much, and when. Anything else is optional and only changes how the report can be sliced.

  1. Needed

    Patient phone or email

    The patient record. Either works; export both where you can, since households share numbers and addresses.

  2. Needed

    Collected amount

    Payments received rather than charges posted. The contractual adjustment is large and varies by payer, which varies by channel.

  3. Needed

    Date of service

    Use service date for attribution and keep it consistent between uploads.

  4. Optional

    Department or service line

    Separates specialties that share a brand and an ad account but nothing else.

Step by step

Getting the file out of athenahealth.

Written for somebody with athenahealth open in the next tab. Report names vary by edition, so each step says what to look for.

  1. Run a financial report at the visit or claim level

    One row per encounter with the patient's contact detail, the collected amount and the service date.

  2. Allow for the collection lag

    Export twelve to eighteen months so that visits and the money they eventually collected are both inside the file.

  3. Include the contact columns

    Phone or email is the join key. Account numbers cannot be matched to an ad click or a phone call.

  4. Export CSV and upload

    Confirm the suggested mapping or map manually. Nothing is inferred silently.

  5. Add the acquisition side

    Ad platform exports, call tracking, and any referral or outreach lists you want ranked on the same axis.

What comes back

The page athenahealth cannot show you.

Revenue by channel, the count of sales behind each figure, and an honest bucket for the ones nobody could trace. Sample figures, from the worked example on the Medical Clinics page — not from a athenahealth account.

Traced to a channel$269,10069% of $390,000
Sales matched90 of 134high confidence only
Average sale$2,930per paid sale
ChannelShareSalesRevenue
Google Ads41$148,200
Meta Ads33$81,900
Email marketing16$39,000
Direct / Unknown44$120,900

Unmatched sales stay in Direct / Unknown. They are never spread across the paid channels to make the total look better.

The argument

What changes when the patient visit and the ad share a row.

A multi-specialty group is several marketing problems in one ad account

A group running primary care, orthopaedics, dermatology and a surgical line has four different patient acquisition problems, four different economics and usually one budget. Reported together they produce a cost per new patient that describes none of them.

Carrying department or service line through the export splits the report the way the group is actually managed. It is usually the first cut a practice administrator asks for and the one that changes a budget conversation.

Collected, because charges are not comparable across payers

Two patients with identical visits and different insurance collect different amounts. Since payer mix correlates with how a patient found you — a self-pay aesthetic enquiry is a different acquisition from a referred medical visit — ranking channels on charges produces a systematically distorted table.

Exporting collections fixes it and makes the report reconcile to the group's own financials. That reconciliation is what lets the number survive being questioned by somebody who owns the P&L.

The lag is months, and a reconciliation does not care

Between a visit and settled money sit the claim, the adjudication, the patient balance and sometimes an appeal. Months, routinely. Any attribution method that needs the revenue to land inside a window is structurally wrong here.

Matching on the patient means the lag is irrelevant. The person who enquired in February and the encounter that collected in July are one match, and the February campaign is credited with the July money.

Nothing clinical, and nothing installed

The match reads a contact detail, an amount and a date. No diagnoses, no procedure detail beyond an optional service line, no notes. There is no tag on any page, no connected application and no permission to grant — the input is a report export.

Data is encrypted in transit and at rest, isolated per workspace and deletable in one click, with a DPA available. Which rules apply to your organisation is your determination to make with your own advisers; we do not see your records.

Referring providers belong in the same comparison

A meaningful share of specialty volume arrives by physician referral, which costs no media spend and a great deal of relationship time. It is almost always left out of marketing reporting entirely, which makes the paid channels look more important than they are.

Upload the referring provider list as a source file and it is ranked on collected revenue beside paid search. For a group weighing a liaison hire against an advertising increase, that comparison is the decision, and it has usually never been quantified.

It also surfaces referral relationships that have quietly decayed, which is a different kind of useful.

Fair questions

“athenahealth already does that.” Not quite.

They say

“Our revenue cycle is managed centrally.”

We say

Then the export comes from the revenue cycle team. A visit-level financial report is a standard artefact for them.

They say

“We have a marketing analytics vendor already.”

We say

If it reports on leads and appointments, this is the layer underneath it: what those appointments collected. If it already reports collected revenue by campaign, you may not need this.

They say

“Patient privacy.”

We say

A contact detail, an amount and a date. You decide what the export contains, and clinical fields are not read.

Questions

athenahealth, specifically.

Something else? Ask us and a person answers.

Visit or claim level financials: a patient phone or email, the collected amount, and the date of service.

athenahealth and the other product names and logos on this page belong to their owners and are shown to identify the software a file comes from. CloseRev is not affiliated with or endorsed by them, and connects to none of them: it reads a file you export.

Start today

Two exports, and you will know.

Nothing to install in athenahealth, no API key, and no need to have been tracking anything until now. Last year works as well as this month.