Meta Ads Health Restrictions: Compliant Campaigns
Meta restricts health advertising separately across creative, targeting, landing page and measurement. How to build a campaign that does not get rejected.
By Roozbeh Nazari · CEO
For clinics offering health and aesthetic services, the typical Meta story runs like this: the campaign goes up, a few ads are approved, one is rejected, an appeal is filed, sometimes it opens and sometimes it does not, and then one day the account is restricted outright and nobody knows exactly which ad was the problem.
The cause of that cycle is usually not a single rule breach. Health advertising on Meta is assessed across four separate layers, and teams mostly look only at the first. This article covers all four and how to build the campaign compliant from the start. We covered the budget side separately in our Google Ads and Meta budget split article.
Layer 1: creative and copy
This is the most visible layer and where most rejections start. The unrealistic outcomes heading within Meta's advertising standards covers health claims directly: a service promising unrealistic outcomes counts as a policy violation. Health promotion regulation in Turkiye points the same way, so in this layer you have to be compliant with two separate rule sets at once.
The patterns that lead to rejection recur in practice:
- Outcome and timeframe commitments: phrasing that says what the result of a procedure will be or how quickly it will be achieved.
- Superiority claims: phrasing that places the clinic or the doctor above competitors.
- Second-person address aimed at the individual: a salutation implying the user has a health condition or a physical characteristic. "Unhappy with your nose?" belongs to this group, and it is the most frequently rejected creative language in practice.
- Before-and-after images, and close-up images of a body area.
The answer to what replaces these patterns is simple, though it takes time to get used to: describe the service, not the person. Instead of "you have this problem", a construction like "this is how the procedure is done, who it is suitable for, and how the process runs" is safer both on the policy side and on the regulatory side, and it raises the quality of the enquiries that come in.
There is also a frequent mistake on the visual side: even where the creative itself is compliant, the text overlaid on it, the first frame of the video or the thumbnail can be assessed separately. When preparing the campaign, read every part of the creative as if it were going to be published on its own.
Layer 2: targeting
The second layer gets discussed less. Health is treated as a sensitive category on advertising platforms, and that produces concrete limits on targeting: segments based on health conditions cannot be used in interest and behaviour targeting, and custom targeting constructions resting on the assumption that a user has a health condition are not accepted.
The real operational consequence is this: the reflex of building narrow targeting does not work in clinic campaigns. In that case the creative has to carry the weight of the targeting. You make the message, rather than the targeting setting, do the work of finding the right person: which procedure, which city or country, which language, which process. The wrong person does not click anyway.
For clinics targeting international patients, this means putting the language and geography breakdown at the centre of the campaign structure. Rather than translating the same creative into four languages and pooling them in one campaign, building a separate ad set per language both eases policy review and makes the reporting readable.
Layer 3: landing page
The third layer is the most overlooked. Even where the ad copy is flawless, the landing page is subject to a separate assessment. A change made to the page after the ad has been approved can also trigger re-review.
What needs checking on the landing page is the same set of patterns as the ad copy plus a few extra headings: commitment sentences on the page, before-and-after galleries, review and rating widgets, the data collected on the page and how that collection is explained. If there is a form on the page, which fields it asks for is part of the assessment too; a form collecting medical history at the first step creates unnecessary risk on both the policy and the data protection side.
On the Google side the same page is assessed against a separate policy set. For a clinic advertising on both platforms the practical conclusion is this: writing the landing page to whichever rule is strictest is both cheaper and safer than maintaining two separate pages. That is how we set it up on the paid media side.
Layer 4: measurement and audiences
The fourth layer is the quietest on the compliance side but the riskiest for account health. Sending events that can be associated with health data to an advertising platform is a separate problem area, because it leads to users being segmented in sensitive categories.
Concretely: a remarketing audience built under the name "people who viewed the rhinoplasty page" is technically easy but categorically problematic. The same goes for event names and parameters containing the procedure name. The safer construction is to name events by funnel stage rather than by procedure, and to leave the sensitive breakdown in your own analytics layer rather than in the advertising platform.
That distinction also fixes the measurement: the advertising platform's report is for campaign optimisation, not for attribution decisions. We describe how to build the source-to-appointment chain on your own side in our analytics and data work.
This layer has a data protection side too, and that side binds independently of advertising policy. Which treatment page a user browsed is information approaching the health data category; get a legal assessment before sending it to a third-party advertising platform. The cleanest construction we see in practice is to send only a funnel-stage signal to the advertising platform and never let the procedure breakdown out at all.
When a rejection arrives
When you get a rejection, the first reflex should not be to appeal. First work out which layer was triggered: copy, image, landing page or audience. Appealing repeatedly without changing the same creative produces a signal at account level, and the cost of that signal is far higher than a single ad being rejected.
What works operationally is keeping a simple log recording the stated reason for each rejection and the action taken. After a few weeks that log produces a clinic-specific "rejection pattern", and new creatives get written to that pattern from the start. We keep this log as standard in the clinic vertical; we describe how we work on our clinics page.
Finally, expectation management: no construction guarantees approval. Policies get updated, automated review can produce false positives, and the same creative can get different outcomes at different times. The aim is not zero rejections; it is keeping rejections predictable, explicable and below the level that threatens account health.