Google Ads for alcohol rehabilitation: the build order

Healthcare is not one advertising problem, it is three stacked. Is the treatment advertisable at all? Does the advertiser need certification first? And can the result be measured without disclosing protected health information? A vertical can pass two of those and be stopped dead by the third, and the order matters — there is no point building a keyword list for a category that cannot run.

Google does not sign a business associate agreement for Google Ads. So when a standard tag fires on a page named for a condition, the request that leaves the browser carries an identifier and a URL that names what the visitor was reading — a disclosure of protected health information to a third party. The remarketing tag builds those audience lists automatically, whether or not anyone ever targets them, and that association is the problem. For alcohol rehabilitation this is not theoretical: the page structure that is good for search is exactly the structure that creates it.

This is the step we get called about most. If you do not have a developer for it, that is the normal situation rather than the exception — it is most of what we do, and it is worth fixing before the spend rather than after.

For alcohol rehabilitation the conversion that matters is an admission that completes intake, and it lives in your CRM (Kipu, Salesforce Health Cloud, Lightning Step) — not in the ad platform. Google can only optimize toward what you send it, so whatever you pick here decides what the algorithm spends the next ninety days chasing.

Whatever sits between the enquiry and the money in this vertical is the step to measure. If it is a consultation, the consultation is not the conversion. is easy to generate and expensive to hold. Optimize toward it and the account gets very good at finding people who will book and not arrive, or arrive and not proceed — and it will report that as an improving cost per conversion the whole time. The stage that pays is an admission that completes intake, and it sits below the line the ad platform can see.

Google enables these on every new Search campaign, and none of them are keyword decisions. Everything else in this playbook operates on whatever is left after they have taken their cut.

One flat keyword list is why most practices cannot tell which half of the budget works. Sorting by the intent behind the search lets you bid, write and judge each group on its own terms — and in health it also separates the problem-aware searches, whose landing pages are the ones carrying your privacy exposure.

Every health vertical has searches that look commercial and are not: job seekers, students, people looking for free care, and researchers who will never book. Broad and phrase match will find all of them for you. Add this at the account level on day zero.

Exact match includes close variants — misspellings, plurals, reordered words, dropped function words. Phrase now behaves roughly like the old broad-match-modified. Broad reaches as far as Google judges useful, which with a trustworthy conversion signal is valuable and without one is an open tap. Start narrow, prove the signal, then widen.

Ad groups exist so the ad can answer the search. The moment a group holds two intents the ad has to be vague enough to cover both, and vague ads lose on relevance before budget enters the picture.

Health is where misrepresentation enforcement is heaviest. Outcome promises, guarantee language and before-and-after implications are the standard disapproval causes, and a pattern of them reads as circumvention rather than a mistake. Every line below is written to be provable on arrival. Character counts are shown because assets over the limit are rejected at upload.

Published cost-per-click figures for health verticals differ by an order of magnitude between sources, so a benchmark from an article is worse than useless. Work backwards from four numbers you already have. The floor is whatever buys roughly thirty conversions a month — below that, smart bidding never leaves the learning phase and you are paying auction prices for a sample too small to teach you anything.

Position is not bought, it is earned and then paid for. Google ranks you on your bid multiplied by how good it expects your ad and landing page to be — so a relevant advertiser at half the bid outranks a vague one, and then pays less per click at the same position.

Maximize Conversions on an admission that completes intake. Do not move to a target until that event reaches the account from your CRM (Kipu, Salesforce Health Cloud, Lightning Step) — on anything upstream of it the algorithm optimises toward the thing that is easy to count. Smart bidding is a data problem before it is a strategy problem: with thin or wrong conversion data it will confidently optimize toward noise, and it does that faster than a manual account can lose money.

Most accounts are killed or rescued on evidence that could not have meant anything yet. Health cycles are longer than most — a consultation booked in week three may not become revenue until week ten — so the honest schedule is longer too.

An account left alone drifts toward the cheapest clicks it can find, because that is what the system does when nobody corrects it. This is the shortest routine that keeps it honest.