⚡ Key Takeaways
- Meta's 2026 enforcement is AI-driven — a multimodal system now evaluates copy, images, and landing pages together for implied health claims
- Purchase optimization is gone for health brands — campaigns are limited to Landing Page Views, and reported ROAS is 15-25% off from Shopify
- First-party data is the new competitive moat — server-side tracking via CAPI partially restores what restrictions remove
- Creative strategy must fundamentally change — lifestyle and education-first content replaces transformation claims and before/after imagery
- Holistic ROAS of 1.8-2.5x is realistic at scale — measured in Shopify, not Meta's dashboard
In This Article
- What Actually Changed in 2026
- Why Meta Blocked Conversion Tracking for Health Brands
- Meta Health Ad Restrictions 2026: What's Different This Year
- What You Lose Under Tier 1 Health Restrictions
- PII, PHI, and How Meta Detects Restricted Data
- The 8-Step Technical Compliance Checklist
- How We Rebuilt Around the Restrictions
- Domain Classification: How to Check and Appeal
- How to Fix a Restricted Meta Ad Account
- The Creative Restrictions That Catch Brands Off Guard
- The 3 Restriction Tiers: Exactly What's Blocked at Each Level
- Health-Restricted vs. Standard Ecommerce Accounts
- Beyond Meta: Channel-by-Channel Alternatives for Health Brands
- FAQs About Meta Health Ad Restrictions
- What We're Watching
You log into Meta Ads Manager on a Monday morning and half your campaigns are in review. Two got rejected overnight. Your best-performing lookalike audience — the one built from last quarter's purchasers — just disappeared. And the ROAS number on screen doesn't match what Shopify says by a long shot.
If you're running Meta ads for a health or wellness brand right now, some version of this has probably already happened to you. It happened to us. We manage a health brand spending over $400K/month on Meta, and when their ad rejection rate spiked 34% in a single quarter, we had to tear down and rebuild the entire account strategy under Tier 1 restrictions. Most of what we found online was surface-level policy summaries — useful for understanding what changed but not for actually running an account through it. So we documented what we did, what worked, and what we're still figuring out.
What Actually Changed in 2026
Meta has had health advertising restrictions since 2019. The policies themselves haven't changed dramatically. What changed is enforcement.
In Q1 2026, Meta deployed a multimodal AI system that evaluates ad copy, imagery, and landing pages simultaneously. It uses semantic intent detection — so a headline like "See results in 7 days" paired with a before/after-style image gets flagged as a misleading transformation claim, even if the word "guarantee" never appears. The system is reading the combined meaning, not individual elements.
If you sell supplements, fitness products, or wellness devices on Shopify, this is what you're up against:
Conversion Event Restrictions
Brands classified as health-related can no longer optimize for Purchase or Add to Cart. Campaigns are limited to Landing Page Views or Engagement — which tell you very little about actual revenue.
Custom Audience Flagging
Meta is scanning and disabling custom audiences whose names, rules, or metadata imply sensitive health traits. Anything with condition-specific language in the audience name, conversion rules, or URL parameters gets caught.
Mandatory Supplement Disclaimers
All health supplement ads now need "This product is not intended to diagnose, treat, cure, or prevent any disease" in the ad copy itself, not just on the landing page. Missing it triggers automatic rejection.
Expanded Before/After Ban
The restriction now covers "implied transformations." Showing a product next to a visibly fit person counts. A testimonial video where someone describes improvement while looking healthy also counts.
⚠️ Broader Than You Think
Meta defines affected brands as anything "associated with medical conditions, specific health statuses, or provider/patient relationships." That's broad enough to catch supplement brands, fitness equipment companies, and wellness DTC brands that never considered themselves "health" companies.
Why Meta Blocked Conversion Tracking for Health Brands
The short answer is liability. Meta got hit with multiple regulatory actions in 2023 and 2024 — the FTC settlement over mental health data, the HHS bulletin clarifying that pixel data from health websites qualifies as PHI under HIPAA, and a class-action suit from patients whose therapy appointment data was shared through the Meta pixel. Each one established that connecting a person's identity to their health behavior is a legal risk Meta doesn't want to carry.
So Meta made a business decision: instead of building compliant data handling for every health vertical, restrict the data they receive in the first place. If Meta never sees that a specific user bought a specific supplement, there's no PHI to mishandle.
That's why the restrictions hit conversion tracking specifically. It's not the ad creative or the targeting that creates the legal exposure — it's the moment a person + health product + transaction gets linked in Meta's systems. Purchase events, Add to Cart events, and custom audiences built from health product buyers all create that link.
FTC and HIPAA pressure forced Meta's hand
The 2023 FTC order and 2024 HHS guidance made it clear that health-related pixel data is regulatorily sensitive. Meta's response was to limit what data they ingest rather than build vertical-specific compliance infrastructure.
Purchase events create the liability chain
A PageView on a supplement page is low-risk. A Purchase event on that same page links a real person to a health product transaction. That's the specific data connection Meta is trying to avoid storing.
AI detection made broad enforcement feasible
Before 2026, Meta relied on manual review and keyword matching. Their new multimodal system can evaluate ad copy, images, landing pages, and pixel data at scale, which is why enforcement went from selective to universal practically overnight.
🎯 Key Insight
Understanding why conversion tracking got blocked changes how you respond to it. This isn't a bug or an overzealous filter you can appeal away. It's a deliberate architectural decision Meta made to reduce their regulatory surface area. Your strategy has to work within that constraint, not around it.
Meta Health Ad Restrictions 2026: What's Different This Year
Meta has had health advertising policies since 2019. Every year they've gotten slightly stricter. But 2026 is a step change, not an incremental tightening. Here's what makes the 2026 enforcement different from everything that came before.
The biggest change is retroactive enforcement. In previous years, if your campaigns were approved they stayed approved. In 2026, Meta's AI scans existing campaigns and can flag ads that have been running for months. We had a client lose three top-performing ad sets in a single day because the AI flagged creative that had been live since Q3 2025.
The other shift that catches brands off guard: domain-level classification. Meta now classifies your entire domain, not individual ads. Once your domain is flagged as health-related, every campaign running from that domain inherits the restrictions. You can't launch a "non-health" campaign from a health-classified domain and expect full tracking.
⚠️ The 2026 Timeline
Q4 2025: Meta began rolling out multimodal detection in beta. Some accounts saw sporadic rejections.
Q1 2026: Full enforcement. Ad rejection rates for health brands spiked 34% in our accounts. Retroactive scanning of existing campaigns began.
Q2 2026 (projected): Meta has signaled expanding the "health-related" classification to include more beauty, fitness, and general wellness categories. If you sell anything adjacent, assume you're next.
What You Lose Under Tier 1 Health Restrictions
The policy docs read one way. The actual experience of running a restricted account is something else entirely.
(Meta vs Shopify)
(Highest on Meta)
(Q1 2026 vs Q4 2025)
Triple Whale's benchmark data reinforces this pattern. Health and wellness brands have the highest conversion rate on Meta at 2.70%, but run below the platform's median ROAS of 1.93. That gap between strong engagement and weak reported returns is largely an attribution problem, not a performance problem.
PII, PHI, and How Meta Detects Restricted Data
Before you can fix anything, you need to understand what Meta is actually scanning for. This is the foundational concept most guides skip, and it's why brands keep getting flagged without understanding why.
🎯 Key Insight
Meta doesn't just scan your ad creative. It scans your pixel data, URL parameters, event names, audience metadata, and landing page content — all simultaneously. Your ads can be approved and running while your conversion data is already being filtered or blocked at the domain level. This is why many brands don't realize they're restricted until they notice performance dropping.
How Meta Infers PHI (Even When You Don't Send It)
Meta's detection system connects multiple signals to infer health status:
URL Path Scanning
If your pixel fires on a page like /supplements/gut-health-probiotic/, Meta associates the visitor with a health condition. Even if your event is named "ViewContent," the URL tells Meta it's health-related.
Query Parameter Leakage
UTM parameters, form data in URLs (?condition=anxiety&product=calm-gummies), and referrer strings can all leak health context to the pixel before you even know it's happening.
Event + Parameter Combination
An event named "Purchase" with a content_name of "Vitamin D 5000 IU" creates a direct link between a person and a health product. Meta blocks this entire data chain under Tier 1.
Audience Metadata
Custom audience names containing health terms ("IBS sufferers," "weight loss purchasers"), conversion rules referencing condition-specific pages, or URL-based audience rules that include health paths all get flagged and disabled.
The 8-Step Technical Compliance Checklist
This is the actionable part that most guides leave out. These are the specific technical changes we make in every health/wellness account we manage. Do them in order.
Scrub URLs and Query Parameters
Before any data reaches Meta, strip health-related terms from URLs. Remove condition names from product slugs (/gut-health/ → /gh-formula/), scrub query parameters that contain symptom or condition keywords, and ensure your thank-you/confirmation pages don't include product names in the URL.
Sanitize Event Data Before Sharing
Use a server-side layer (Google Tag Manager Server Container, or a CDP like CustomerLabs/Segment) to intercept pixel data and strip PHI before it reaches Meta. This gives you full control over what gets sent — and what doesn't.
Neutralize Event and Parameter Names
Rename health-specific events to generic names. Instead of sending "Purchase" with content_name "Probiotic 50B CFU," send a custom event like "CompleteAction" with a hashed product ID. Meta can't infer health context from content_id: SKU_4829 the way it can from a product name.
Stop Passing Direct PII to the Pixel
Audit your pixel implementation. If your Shopify checkout passes email or phone number to Meta's pixel in plain text (many default integrations do this), you're exposing PII alongside health purchase data. Use hashed identifiers only, sent through CAPI — never client-side.
Segment Your Data Paths
Don't send all events through one pipeline. Create separate data paths for health-sensitive vs. non-sensitive pages. Your blog traffic can still send standard events. Your product/checkout pages need the sanitized path. This preserves signal quality where you can while protecting where you must.
Audit and Monitor Continuously
Meta's detection evolves quarterly. Set up monthly audits: check Events Manager for new "Limited Data Use" warnings, review which events are being received vs. blocked, and test new product pages before they go live. We use Meta's Event Testing tool in Events Manager to verify what data actually reaches their servers.
Implement Explicit Consent Management
Meta increasingly requires documented proof that users consented to data sharing, especially for health-adjacent brands. Use a Consent Management Platform (OneTrust, Cookiebot, or Shopify's built-in consent) and pass the consent signal to CAPI. Without it, your data may be silently dropped even if your implementation is technically clean.
Switch Fully to Server-Side Tracking (Same-Domain)
This is the foundation everything else builds on. Set up a GTM Server Container on your own domain (e.g., track.yourbrand.com), route all Meta events through it, and use CAPI as the primary data channel. Client-side pixel becomes a backup for Event Match Quality, not the source of truth. This gives you the sanitization layer, the consent gate, and the control to adapt as restrictions tighten.
💡 Pro Tip
Don't try to "trick" Meta by renaming events while still sending the same underlying data. Their detection system cross-references event names with URL paths, landing page content, and ad creative. The goal is to genuinely reduce the amount of health-specific data you send, not to disguise it.
How We Rebuilt Around the Restrictions
We went through several rounds of "fix one thing, break another" before we landed on something stable. It's not a hack or a workaround — it's a different way of running the account entirely.
🎯 Key Insight
The shift that made everything else click: we stopped looking at Meta for performance data. Meta's restrictions limit what Meta can see about your customers. They don't limit what you can see. Once that clicked, we stopped trying to fix Meta's reporting and started building our own measurement layer.
We check Shopify Gross Sales pacing three times a day: morning, afternoon, and end of day. We compare against yesterday and the same day last week. When Meta's attribution is lagging 24-48 hours and modeling half your conversions, Shopify's real-time revenue is the most reliable signal for whether to scale up or pull back.
The metric we actually optimize around isn't ROAS. It's Gross Revenue minus Total Ad Spend. This matters because holistic ROAS can dip below target while the absolute dollar margin stays healthy. We had stretches where ROAS looked concerning but the margin was fine — and reacting to Meta's numbers would have meant cutting spend and leaving money on the table.
Our Server-Side Tracking Stack
Reconstruct customer identity from first-party data
Email, SMS, and purchase data from Shopify becomes the foundation — not Meta's pixel.
Feed it back through CAPI
Server-side Conversions API partially restores SKU-level insight and enables higher-quality lookalikes built from LTV and repeat buyer segments.
Measure with cohort-based lift
Replace last-click attribution with cohort analysis. First-party data went from "nice to have" to the entire competitive moat.
💡 Pro Tip: Sandbox Campaigns
Run a dedicated small-budget campaign where new ads prove themselves before graduating into scaling campaigns. With rejection rates elevated, you don't want untested creative dragging down a campaign spending $5K/day.
On budget management, we've settled on 10-20% adjustments every other day (Monday, Wednesday, Friday), before 10AM. Mornings carry the strongest signal, and the algorithm needs roughly 24 hours to stabilize after a budget change.
Domain Classification: How to Check If You're Restricted (and How to Appeal)
Many brands don't realize they've been classified as health-restricted. Meta doesn't always send a notification — your ads can be approved and running while your conversion data is silently being filtered at the domain level.
How to Check Your Classification
Check Events Manager
Go to Events Manager → select your pixel → look for a "Limited Data Use" or "Restricted Events" banner at the top. If it's there, you're classified.
Check Available Optimization Events
Create a new campaign and check which optimization events are available. If Purchase and Add to Cart are grayed out or missing, you're in a restricted tier.
Check Aggregated Event Measurement
Under Events Manager → Aggregated Event Measurement, if your domain shows fewer than 8 configurable events or certain events are locked, that's another signal.
How to Appeal a Misclassification
If your brand has been incorrectly classified (e.g., you sell fitness apparel, not supplements), you can appeal:
- If you have a Meta rep: Contact them directly with a written explanation of why your products don't fall under health/wellness restrictions. Include your product catalog and landing pages.
- If you don't have a rep: Use Meta's Business Help Center → Account Quality → request a review. Be specific about what you sell and why it shouldn't be classified as health-related.
- Success rate: In our experience, appeals succeed about 30% of the time for borderline cases (fitness apparel, general wellness). For actual supplement or health device brands, the classification is almost never reversed.
⚠️ Don't Wait to Find Out
If you sell anything health-adjacent and you haven't checked your domain classification, do it today. We've seen beauty brands, fitness equipment companies, and even some food brands get flagged for the first time in 2026. The earlier you know, the earlier you can implement the compliance steps above — and the less revenue you lose to silent data filtering.
How to Fix a Restricted Meta Ad Account
If your account is already restricted, there's a specific sequence that works. We've done this across multiple health and wellness accounts, and the order matters. Fixing tracking before fixing creative wastes time. Fixing creative before understanding your tier wastes money.
The Fix Sequence (Do These in Order)
Confirm your restriction tier
Go to Events Manager and check for "Limited Data Use" or "Restricted Events" banners. Try creating a new campaign and see which optimization events are available. If Purchase is grayed out, you know where you stand. This determines everything else — a Tier 1 fix is different from a Tier 2 fix.
Audit what data you're sending to Meta
Open Events Manager → Test Events. Browse your site and watch what fires. Look for health-related terms in event names, content_name parameters, URL paths, and custom data fields. This audit usually reveals 3-5 data leaks that brands didn't know existed — UTM parameters with condition names, product names in purchase events, health quiz results in custom events.
Set up server-side tracking before changing anything else
Deploy a GTM Server Container on your domain (e.g., track.yourbrand.com). Route all events through CAPI. This gives you a sanitization layer — a place to strip health-specific data before it reaches Meta. Without this, every other fix is temporary because your client-side pixel is still leaking data you can't control.
Sanitize your data pipeline
With CAPI in place, implement the sanitization: rename events from "Purchase" to generic names like "CompleteAction," replace product names with hashed SKU IDs, strip condition-related terms from URL parameters, and remove health keywords from audience names and rules. Run Event Testing again to verify the cleaned data.
Rebuild your campaign structure around Landing Page View optimization
Accept that Purchase optimization is gone for now. Restructure campaigns to optimize for Landing Page Views, and use Shopify data as your actual performance signal. Set up a daily check: compare Meta spend against Shopify revenue to calculate holistic ROAS. This is your new dashboard.
Overhaul creative to pass the new AI review
Audit all active ads for implied transformation claims, before/after imagery, and timeline-based promises. Replace with lifestyle and education-first content. Test new creative in a small-budget sandbox campaign before scaling. At current rejection rates, you can't afford to learn what gets flagged in your scaling campaigns.
File an appeal if misclassified (but don't wait for it)
If you believe your domain was incorrectly classified (fitness apparel, general wellness without health claims), file an appeal through Business Help Center or your Meta rep. But implement the fixes above regardless — appeals take weeks, success rates are around 30% for borderline cases, and you're losing money every day you wait.
📊 What "Fixed" Actually Looks Like
A "fixed" restricted account doesn't look like an unrestricted one. Purchase optimization is still blocked. ROAS in Meta's dashboard is still underreported. What changes: your data stops getting silently dropped, your campaigns stop getting escalated to higher restriction tiers, and you have a reliable measurement system (Shopify-based) to actually make scaling decisions from. The accounts we've rebuilt this way are running at 1.8-2.5x holistic ROAS at scale. That's not what it was before restrictions — but it's profitable, it's stable, and it's not dependent on Meta giving you anything back.
The Creative Restrictions That Catch Brands Off Guard
This is the part that blindsided us. We had the tracking figured out, the budget cadence dialed in, and then ads started getting rejected for reasons we didn't expect.
Meta's semantic intent detector evaluates the combined meaning of your ad elements. A fitness product image plus "transform your routine" in the copy can trigger a rejection that neither piece would trigger individually. The system is looking for implied health claims across text, image, and landing page at once.
(Up 8.75% YoY — AdAmigo)
(Measured in Shopify, Not Meta)
With health/wellness CPA up 8.75% to $59.36 according to AdAmigo's benchmark data, creative quality is one of the few levers still fully in your control.
The 3 Restriction Tiers: Exactly What's Blocked at Each Level
No other guide breaks this down clearly. Meta applies restrictions in three escalating tiers. Most health brands land in Tier 1 or 2, but restrictions can escalate if compliance issues aren't resolved. Here's exactly what you lose at each level.
💡 Which Tier Are You In?
Check this way: Go to Events Manager → select your data source → if you see a yellow triangle with "Some data may be restricted," you're Tier 1. A red stop sign with "Data sharing restrictions applied" means Tier 2. If all events show as inactive and you can't configure any optimization events, you're Tier 3. Most supplement and wellness DTC brands on Shopify land in Tier 1 or 2. Personal injury lawyers, telemedicine platforms, and pharmaceutical brands tend to get Tier 2 or 3.
📊 What We See Across Our Health/Wellness Accounts
Of the health and wellness brands we manage, roughly 60% are in Tier 1, 35% in Tier 2, and 5% in Tier 3. The 8-step compliance checklist above is designed to keep you in Tier 1 and prevent escalation. Brands that implement server-side tracking with proper data sanitization rarely get escalated beyond Tier 1 — even when selling supplements directly.
Health-Restricted vs. Standard Ecommerce Accounts
For brands coming from a standard ecommerce account on Meta, this is how the experience differs:
Feature Availability Comparison
Blocked
Degraded
Degraded
Blocked
It's a meaningful gap. But it's the kind of gap that separates agencies who've actually run health accounts from the ones writing guides about it. We're maintaining 2.0+ holistic ROAS for a health brand at $400K+/month, and every bit of that comes from adapting the operating model, not lowering the bar.
Beyond Meta: Channel-by-Channel Alternatives for Health Brands
Every guide says "diversify beyond Meta." None of them tell you where to go specifically, what works for health brands, and what the realistic CPAs look like. Here's what we're seeing across our health/wellness accounts in 2026.
🎯 Our Recommended Budget Split for Health Brands in 2026
For a health/wellness brand spending $30K-$50K/month total on paid media, here's where we're allocating in 2026 vs. where we were in 2024:
2024: Meta 70% | Google 20% | Email 10%
2026: Meta 40% | Google 25% | TikTok 15% | Email/SMS 10% | Pinterest 5% | Influencer 5%
Meta's share dropped from 70% to 40% not because it stopped working, but because the restrictions make it harder to measure. The actual performance may be similar — you just can't see it. The channels we added (TikTok, Pinterest, influencer) have full tracking and provide a measurable baseline to calibrate Meta's modeled numbers against.
Frequently Asked Questions
How do I know if my brand is classified as health-restricted on Meta?
Check your Meta Events Manager. If your data sources show a "Limited Data Use" or "Restricted Events" banner, you've been flagged. You can also check your available optimization events — if Purchase and Add to Cart are grayed out or unavailable for campaign optimization, you're in a restricted tier. Some brands discover this only after launching a campaign and seeing it underperform, because Meta doesn't always send a notification.
Can I still run purchase-optimized campaigns if I sell supplements on Shopify?
Not through Meta's standard optimization. Your campaigns will be limited to upper-funnel objectives like Landing Page Views. The workaround is implementing server-side tracking through CAPI with custom event naming that doesn't reference health-specific actions, and using Shopify data as your optimization proxy. The brands maintaining strong performance in this category are the ones that have decoupled their optimization decisions from Meta's reporting entirely.
How do I stop Meta from blocking my health brand's conversion data?
Set up server-side tracking through a GTM Server Container on your own domain. Route all events through CAPI instead of the client-side pixel. Before data reaches Meta, scrub health-specific terms from URLs and query parameters, rename events from "Purchase" to generic names like "CompleteAction," and use hashed product IDs instead of product names. The goal is to reduce the health-specific data Meta receives so it can't infer PHI — not to disguise it. Also ensure you're passing consent signals, as Meta increasingly drops data from brands without documented user consent.
What is PII and PHI in the context of Meta advertising?
PII (Personally Identifiable Information) is data that identifies a specific person — email addresses, phone numbers, names. PHI (Protected Health Information) is health data linked to an individual — a diagnosis, condition, treatment, or health product purchase tied to a person. Meta's 2026 enforcement scans your pixel data, URL paths, event parameters, and audience metadata to detect both. The critical concept is "inferred PHI" — even if you don't explicitly send health data, Meta can infer it by connecting a user who visited /weight-loss-supplement/ with a Purchase event. This combined inference triggers Tier 1 restrictions.
What ROAS should health and wellness brands realistically expect on Meta in 2026?
The platform median is 1.93 according to Triple Whale, and health/wellness typically runs below that despite having the highest conversion rates at 2.70%. A realistic target for a well-run health brand at scale is 1.8-2.5x holistic ROAS, measured in Shopify rather than Meta. If an agency is promising 4x+ ROAS on a health-restricted account, ask how they're measuring — because they may be relying on Meta's in-platform numbers, which are inflated for restricted accounts.
What are the three tiers of Meta's health and wellness restrictions?
Meta applies restrictions in three escalating tiers. Tier 1 (Core Setup) strips custom URL parameters and custom event parameters but still allows standard event optimization and algorithmic bidding. Tier 2 (Standard Events) blocks mid- and lower-funnel event optimization including Purchase, Add to Cart, and Lead — you're limited to upper-funnel events like Landing Page Views and ViewContent. Tier 3 (Full Restriction) blocks all events including upper-funnel, disables algorithmic bidding entirely, and eliminates conversion reporting. Most supplement and wellness DTC brands on Shopify are in Tier 1 or 2. Restrictions can escalate if compliance issues go unaddressed.
What are the best advertising alternatives to Meta for health and wellness brands?
The strongest alternatives in 2026 are Google Search and Shopping (full purchase tracking, $30-80 CPA), TikTok Ads (lower CPMs, evolving but less restrictive health policies, $35-70 CPA), Pinterest (zero health restrictions, high purchase intent from wellness audiences, $25-55 CPA), YouTube (minimal health restrictions, great for repurposing Meta video creative, $50-100 CPA), and Email/SMS via Klaviyo ($5-15 CPA, zero platform risk, full data ownership). The recommended 2026 budget split for health brands spending $30-50K/month is Meta 40%, Google 25%, TikTok 15%, Email/SMS 10%, Pinterest 5%, Influencer 5%. Meta's share dropped from 70% to 40% because the restrictions make it harder to measure — the channels you add provide a measurable baseline to calibrate Meta's modeled numbers against.
How much does it cost to set up compliant Meta tracking for a health brand?
The cost depends on your stack. A basic GTM Server Container on Google Cloud runs $50-150/month. Adding a CDP like Segment or CustomerLabs for data sanitization adds $300-1,000/month depending on volume. Consent management (OneTrust, Cookiebot) is $20-100/month. If you hire an agency to implement the full server-side CAPI setup with event sanitization, expect a one-time setup fee of $2,000-5,000 plus ongoing management. The DIY path using GTM Server Container + manual CAPI implementation is the cheapest but requires technical skill. For most brands spending $20K+/month on Meta, the $500-1,000/month for proper compliant tracking pays for itself many times over by keeping you in Tier 1 and preventing escalation to Tier 2 or 3.
What We're Watching
These restrictions are expanding. Every quarter the definition of "health-related" gets broader and the AI detection gets sharper. We're already seeing beauty brands, fitness equipment companies, and even some food brands get flagged for the first time.
The old playbook — optimize for Purchase, let the algorithm figure it out, check ROAS in the dashboard — is done for this category. What replaces it is harder to run but harder to disrupt: your own data, your own measurement, creative that earns attention instead of making claims.
We've been building this for over a year now and we're still finding new edges. That part doesn't stop.
Running Meta ads for a health or wellness brand?
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